Vikas Kumar

3.1k total citations · 1 hit paper
96 papers, 2.4k citations indexed

About

Vikas Kumar is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology and Environmental Chemistry. According to data from OpenAlex, Vikas Kumar has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Health, Toxicology and Mutagenesis, 14 papers in Water Science and Technology and 12 papers in Environmental Chemistry. Recurrent topics in Vikas Kumar's work include Effects and risks of endocrine disrupting chemicals (25 papers), Toxic Organic Pollutants Impact (17 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Vikas Kumar is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (25 papers), Toxic Organic Pollutants Impact (17 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Vikas Kumar collaborates with scholars based in Spain, United Kingdom and India. Vikas Kumar's co-authors include Marta Schuhmacher, Venkatanaidu Karri, Raju Prasad Sharma, Martí Nadal, José L. Domingo, Deepika Deepika, Joaquim Rovira, María Ángeles Martínez, David N. Lerner and Francesc Fàbrega and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Vikas Kumar

92 papers receiving 2.3k citations

Hit Papers

Heavy metals (Pb, Cd, As and MeHg) as risk factors for co... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Heavy metals (Pb, Cd, As and MeHg) as risk factors for cognitive dysfunction: A general review of metal mixture mechanism in brain
    2016 376 citations Venkatanaidu Karri, Marta Schuhmacher et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vikas Kumar Spain 28 1.1k 354 294 266 211 96 2.4k
Yunjiang Yu China 31 1.6k 1.4× 522 1.5× 479 1.6× 233 0.9× 179 0.8× 112 2.8k
Peng Gao China 29 1.2k 1.0× 751 2.1× 364 1.2× 172 0.6× 98 0.5× 144 2.9k
Ling Wang China 28 836 0.7× 823 2.3× 223 0.8× 237 0.9× 140 0.7× 153 2.5k
Johan Eriksson Sweden 30 965 0.8× 474 1.3× 357 1.2× 120 0.5× 87 0.4× 117 3.0k
Arthur P.S. Lau Hong Kong 26 846 0.7× 269 0.8× 229 0.8× 113 0.4× 257 1.2× 57 2.6k
Richard J. Wenning United States 26 1.7k 1.5× 867 2.4× 124 0.4× 243 0.9× 205 1.0× 72 2.6k
Hannu Komulainen Finland 31 1.3k 1.1× 312 0.9× 239 0.8× 132 0.5× 197 0.9× 136 3.4k
Rachel Ann Hauser‐Davis Brazil 31 1.5k 1.3× 948 2.7× 183 0.6× 262 1.0× 188 0.9× 214 3.1k

Countries citing papers authored by Vikas Kumar

Since Specialization
Citations

This map shows the geographic impact of Vikas Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vikas Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Kumar more than expected).

Fields of papers citing papers by Vikas Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikas Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vikas Kumar. The network helps show where Vikas Kumar may publish in the future.

Co-authorship network of co-authors of Vikas Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Kumar. A scholar is included among the top collaborators of Vikas Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vikas Kumar. Vikas Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bharti, Kanchan, Saurav Kumar, Trine Husøy, et al.. (2025). Evaluation of PBK models using the OECD assessment framework taking PFAS as case study. Computational Toxicology. 36. 100381–100381.
2.
Thomsen, Sofie Theresa, Dietrich Plaß, Anastasia Spyropoulou, et al.. (2024). A preliminary estimate of the environmental burden of disease associated with exposure to pyrethroid insecticides and ADHD in Europe based on human biomonitoring. Environmental Health. 23(1). 91–91.
3.
Deepika, Deepika & Vikas Kumar. (2023). The Role of “Physiologically Based Pharmacokinetic Model (PBPK)” New Approach Methodology (NAM) in Pharmaceuticals and Environmental Chemical Risk Assessment. International Journal of Environmental Research and Public Health. 20(4). 3473–3473. 50 indexed citations
4.
Sagar, Sushma, et al.. (2023). Morpho-genetic variability of Rhizoctonia solani population causing sheath blight disease in rice (Oryza sativa L.). Journal of Environmental Biology. 44(1). 108–121. 4 indexed citations
5.
Kesharwani, Payal, Deepika Deepika, Kanchan Bharti, et al.. (2022). Pharmacotherapeutic and Computational Approaches for Biopharmaceutical Considerations towards Drug Development and Delivery against COVID-19. Letters in Applied NanoBioScience. 12(4). 128–128. 1 indexed citations
6.
Deepika, Deepika, Raju Prasad Sharma, Marta Schuhmacher, et al.. (2022). Unravelling sex-specific BPA toxicokinetics in children using a pediatric PBPK model. Environmental Research. 215(Pt 1). 114074–114074. 10 indexed citations
7.
Deepika, Deepika, et al.. (2022). Impact of Contaminants on Microbiota: Linking the Gut–Brain Axis with Neurotoxicity. International Journal of Environmental Research and Public Health. 19(3). 1368–1368. 60 indexed citations
8.
Kolodkin, Alexey, Raju Prasad Sharma, Anna Maria Colangelo, et al.. (2020). ROS networks: designs, aging, Parkinson’s disease and precision therapies. npj Systems Biology and Applications. 6(1). 34–34. 64 indexed citations
9.
Katsanou, Efrosini S., Anastasia Spyropoulou, Toine F. H. Bovee, et al.. (2020). Maternal exposure to mixtures of dienestrol, linuron and flutamide. Part II: Endocrine-related gene expression assessment on male offspring rat testes. Food and Chemical Toxicology. 144. 111603–111603. 3 indexed citations
10.
Kumar, Alok, et al.. (2020). Evaluation of the efficacy of relative bio-pesticide and insecticides against barley aphid. Journal of Entomology and Zoology Studies. 8(2). 1746–1749. 2 indexed citations
11.
Tebby, Cléo, Hilko van der Voet, Georges de Sousa, et al.. (2020). A generic PBTK model implemented in the MCRA platform: Predictive performance and uses in risk assessment of chemicals. Food and Chemical Toxicology. 142. 111440–111440. 18 indexed citations
12.
Alarcan, Jimmy, Dajana Lichtenstein, Claudia Luckert, et al.. (2020). Hepatotoxicity of the pesticides imazalil, thiacloprid and clothianidin – Individual and mixture effects in a 28-day study in female Wistar rats. Food and Chemical Toxicology. 140. 111306–111306. 35 indexed citations
13.
Martínez, María Ángeles, Joaquim Rovira, Raju Prasad Sharma, Marta Schuhmacher, & Vikas Kumar. (2020). Reconstruction of phthalate exposure and DINCH metabolites from biomonitoring data from the EXHES cohort of Tarragona, Spain: A case study on estimated vs reconstructed DEHP using the PBPK model. Environmental Research. 186. 109534–109534. 9 indexed citations
14.
Karri, Venkatanaidu, Marta Schuhmacher, & Vikas Kumar. (2020). A systems toxicology approach to compare the heavy metal mixtures (Pb, As, MeHg) impact in neurodegenerative diseases. Food and Chemical Toxicology. 139. 111257–111257. 37 indexed citations
15.
Sharma, Raju Prasad, Vikas Kumar, Marta Schuhmacher, Alexey Kolodkin, & Hans V. Westerhoff. (2019). Development and evaluation of a harmonized whole body physiologically based pharmacokinetic (PBPK) model for flutamide in rats and its extrapolation to humans. Environmental Research. 182. 108948–108948. 14 indexed citations
16.
Karri, Venkatanaidu, Julia Bauzá‐Martinez, María Antonia Odena, et al.. (2018). Differential protein expression of hippocampal cells associated with heavy metals (Pb, As, and MeHg) neurotoxicity: Deepening into the molecular mechanism of neurodegenerative diseases. Journal of Proteomics. 187. 106–125. 46 indexed citations
17.
Karri, Venkatanaidu, et al.. (2017). An in vitro cytotoxic approach to assess the toxicity of heavy metals and their binary mixtures on hippocampal HT-22 cell line. Toxicology Letters. 282. 25–36. 40 indexed citations
18.
García, Tania García, et al.. (2017). Effects on the reproductive system of young male rats of subcutaneous exposure to n-butylparaben. Food and Chemical Toxicology. 106(Pt A). 47–57. 28 indexed citations
19.
Sánchez-Soberón, Francisco, Montse Mari, Vikas Kumar, et al.. (2015). An approach to assess the Particulate Matter exposure for the population living around a cement plant: modelling indoor air and particle deposition in the respiratory tract. Environmental Research. 143(Pt A). 10–18. 46 indexed citations
20.
Marquès, Montse, et al.. (2013). The impact of climate change on water provision under a low flow regime: A case study of the ecosystems services in the Francoli river basin. Journal of Hazardous Materials. 263. 224–232. 75 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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