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Researcher Profile Statistics: Živančević, Katarina

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Region #
AS - Asia, other 966
NA - North America 783
EU - Europe 175
OC - Oceania 24
AF - Africa 2
SA - South America 1
Unknown 177
Total 2128
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Country #
US - United States of America 776
CN - China 769
SG - Singapore 177
RS - Serbia 93
DE - Germany 31
AU - Australia 18
ES - Spain 11
CA - Canada 6
FR - France 6
NZ - New Zealand 6
other - Other Country 235
Total 2128
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City #
Ningde 450
Boardman 226
Chandler 80
Belgrade 75
Chaichang 68
Cheektowaga 48
Singapore 47
Beijing 25
Shenyang 17
Niš 16
other 1040
Total 2092
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Most viewed items #
ID: 5361 - Toxicogenomic data analysis of berberine's protective role in environmentally relevant toxic metals induced Alzheimer's disease 878
ID: 8423 - Improving anti-cancer immunotherapy efficacy by combining immune modulators 36
ID: 8391 - Predicting sulforaphane-induces adverse effects in prostatic cancer patients via in silico investigation 33
ID: 8424 - Extracting molecular mechanisms of toxicity of PFAS mixture: toxicogenomic data mining 33
ID: 4493 - Learning machine learning in Ca2+ fluorescence imaging 31
ID: 8384 - Hematotoxicity of lead, cadmium, mercury and arsenic low dosed mixtures relevant to environmental exposure: the Adverse Outcome Pathway framework 31
ID: 8411 - Omics approaches and technologies in COVID-19 30
ID: 8414 - Neurotoxicity of lead, cadmium, mercury and arsenic low dosed mixtures relevant to environmental exposure 30
ID: 8421 - Influence of lead, cadmium, mercury and arsenic neurotoxicology low dosed mixtures relevant to environmental exposure on acetylcholinesterase activity in subacute exposure in rats: a benchmark approach 29
ID: 8427 - Neuroinflammation in Alzheimer’s disease: bioinformatic screening approach 29
ID: 8419 - Possibilities and challenges of applying artificial intelligence in toxicology 27
ID: 8406 - In silico prediction of physicochemical, pharmacokinetic and toxicological properties of sulforaphane 26
ID: 8412 - The Future of Data Mining 26
ID: 8413 - Three lines of evidence of the hepatotoxicity of a mixture containing phthalates and bisphenol A: in silico and two in vivo models 26
ID: 8416 - Informed mom, healthy baby - how to live safely with chemicals 26
ID: 8422 - How much the general population knows and understands toxicity: a pilot study 26
ID: 8425 - The role of zinc in amyotrophic lateral sclerosis development: a toxicogenomic perspective 26
ID: 4502 - The Comparative Toxicogenomics database: The influence of environmental chemicals on genes and disease development 25
ID: 8386 - Comparative study of positive and negative sulforaphane activity against different tumor types via bioinformatic analysis 25
ID: 8392 - Probiotic cultures as a potential protective strategy against the toxicity of environmentally relevant chemicals: State-of-the-art knowledge 25
ID: 8417 - Sulforaphane and sulforaphane - glucosinolate toxicity prediction using the in silico US-EPA COMPTOX chemicals dashboard method 25
ID: 8418 - The Comparative Toxicogenomic Database: New Possibilities 25
ID: 8385 - Testing sulforaphane as a strategy against toxic chemicals of public health concern by toxicogenomic data analysis: Friend or foe at the gene level - Colorectal carcinoma case study 24
ID: 8388 - In silico analysis of toxicogenomic data on the influence of toxic metals on the complications of COVID-19 disease 24
ID: 8387 - Subacute Exposure to Low Pb Doses Promotes Oxidative Stress in the Kidneys and Copper Disturbances in the Liver of Male Rats 23
ID: 8393 - Prediction of adverse effects of sulforaphane by in silico testing of targeted genes, protein- protein interactions and molecular classes 23
ID: 8407 - Toxic potential of Pseudomonas aeruginosa mannose-sensitive hemagglutinin: in silico investigation of adverse outcomes in cancer patients 23
ID: 5357 - Elucidating the influence of environmentally relevant toxic metal mixture on molecular mechanisms involved in the development of neurodegenerative diseases: In silico toxicogenomic data-mining 22
ID: 8390 - Conducting bioinformatics analysis to predict sulforaphane-triggered adverse outcome pathways in healthy human cells 22
ID: 8426 - Applying in silico toxicogenomic data mining to predict molecular mechanisms and pathways against carcinoma: immunomodulator sulforaphane as a case study. 22
ID: 8383 - Screening for the most promising protective agent against chemical and/or radiation-induced adverse human health effects: toxicogenomic data mining 21
ID: 4496 - Multi-strain probiotic ameliorated toxic effects of phthalates and bisphenol A mixture in Wistar rats 20
ID: 5358 - Combining in vivo pathohistological and redox status analysis with in silico toxicogenomic study to explore the phthalates and bisphenol A mixture-induced testicular toxicity 20
ID: 8396 - Influence of the mixture of Cd and BDE-209 on Zn and Cu homeostasis in rats 19
ID: 8397 - Subacute toxicity of phthalate and bisphenol A mixture: assessment of probiotic protective effects 19
ID: 4501 - The ameliorative effect of bioactive phytochemicals (resveratrol, curcumin and sulforaphan) on environmental chemicals evoked inflammation: toxicogenomic data mining approach 18
ID: 5542 - Involvement of environmentally relevant toxic metal mixture in Alzheimer's disease pathway alteration and protective role of berberine: Bioinformatics analysis and toxicogenomic screening 18
ID: 8389 - Comprehensive investigation of hepatotoxicity of the mixture containing phthalates and bisphenol A 18
ID: 5365 - Neuroinflammation in Post-Ischemic Brain 17
ID: 5543 - Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation 17
ID: 5545 - Potential genomic biomarkers of obesity and its comorbidities for phthalates and bisphenol A mixture: In silico toxicogenomic approach 16
ID: 8403 - Cadmium and lead mixture and lung cancer development: toxicogenomic data mining approach 16
ID: 8420 - Investigating possible mechanisms of eye injury caused by the application of ionizing radiation in interventional procedures: toxicogenomic data mining 16
ID: 4498 - Toxic Effects of the Mixture of Phthalates and Bisphenol A—Subacute Oral Toxicity Study in Wistar Rats 15
ID: 5359 - 'In silico' toxicology methods in drug safety assessment 15
ID: 4494 - Safety assessment of drug combinations used in COVID-19 treatment: in silico toxicogenomic data-mining approach 14
ID: 8394 - Toxic potential of combined sulforaphane/Pseudomonas aeruginosa mannose sensitive hemagglutinin treatment in cancer patients 14
ID: 8401 - The influence of phthalates (diethylhexyl phthalate (DEHP) and dibutyl phthalate (DBP)) exposure on diabetes mellitus type 2 development – analysis of toxicogenomic data 14
ID: 8410 - The impact of air pollution on COVID-19 severity: in silico toxicogenomic data mining. 14
ID: 5356 - Probiotic reduced the impact of phthalates and bisphenol A mixture on type 2 diabetes mellitus development: Merging bioinformatics with in vivo analysis 13
ID: 8402 - Toxicogenomics analysis of phthalates and bisphenol A mixture: Lung cancer 13
ID: 5364 - Protective role of sulforaphane against phthalate and bisphenol A mixture linked hepatocellular carcinoma: in silico toxicogenomic datamining 12
ID: 5362 - Phthalate and Bisphenol A mixture-linked asthma development: positive probiotic intervention 11
ID: 5544 - Integrating in silico with in vivo approach to investigate phthalate and bisphenol A mixture-linked asthma development: Positive probiotic intervention 11
ID: 6047 - Joint impact of key air pollutants on COVID-19 severity: prediction based on toxicogenomic data analysis 11
ID: 8395 - Mechanistic studies of sulforaphane induced toxicity: in silico approach 11
ID: 8408 - Cadmium and autophagy: a toxicogenomics data mining approach. 11
ID: 8400 - Roles of Nrf2 protein in environmental chemicals' toxicity: Toxicogenomics data mining 10
ID: 8429 - Mercury-gene-disease associations: toxicogenomics data mining approach 10
ID: 5363 - Potential of resveratrol to ameliorate amyotrophic lateral sclerosis evoked by the mixture of manganese and lead: in silico toxicogenomic data-mining approach 9
ID: 8399 - Enviromental chemicals and alterations in telomere maintenance as a factor in human diseases: Toxicogenomic data 9
ID: 8409 - Investigating the sulforaphane safety: in silico toxicogenomic data mining approach. 9
ID: 8428 - The influence of phthalates exposure on obesity development – analysis of toxicogenomic data 9
ID: 5360 - Sulforaphan as a potential protective agent in the treatment of multiple sclerosis 7
Total 2128
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Most type viewed #
ID: all - 0
ID: other - 0
ID: journal - 347
ID: conference - 1708
ID: patent - 0
ID: book - 73
ID: dataset - 0
ID: selected - 0
Total 2128
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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Tot
2023 00 181812 303944924 29473 1146
2024 155149 714411660 0000 00 982
Ever 2128