Devendra Parmar

4.0k citations
92 papers · 3.0k indexed · 1 hit paper · h-index 28

Devendra Parmar

89 papers receiving 2.9k citations

Hit Papers

DNA damaging potential of zinc oxide nanoparticles in hum...4972009202620142020100200300400

Peers

Devendra Parmar
Comparison fields: 5 of 137
  • Cancer Research 775
  • Health, Toxicology and Mutagenesis 695
  • Pharmacology 287
  • Developmental Neuroscience 111
  • Pollution 283
Replace Shuangqing Peng with:
Shuangqing Peng China
Seung Jun Kwack South Korea
Yoshio Nakagawa Japan
Akihiko Hirose Japan
Youichi Miyamae Japan
Fabrice Nesslany France
Prahlad K. Seth India
T. S. Kumaravel United Kingdom
G ZHOU China
Jong-Choon Kim South Korea
Devendra Parmar relative to Shuangqing Peng China Shuangqing Peng's profile →
Citations per field
00.5×3.3×
Shuangqing Peng · 1×
Citations per year

Countries citing papers authored by Devendra Parmar

Since Specialization
Citations

This map shows the geographic impact of Devendra Parmar'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 Devendra Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devendra Parmar more than expected).

Fields of papers citing papers by Devendra Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devendra Parmar. 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 Devendra Parmar. The network helps show where Devendra Parmar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Devendra Parmar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devendra Parmar Line = papers co-authored together Devendra Parmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202312
4 202216
5 202025
6 20196
7 201749
8 201322
9 201213
10 2011123
11 201028
12 201033
13 200924
14 200872
15 200636
16 200628
17 20051
18 20059
19 200296
20 19944

About Devendra Parmar

Devendra Parmar is a scholar working on Cancer Research, Pharmacology and Chemical Health and Safety, having authored 92 papers that have together received 3.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (25 papers), Glutathione Transferases and Polymorphisms (21 papers), Pharmacogenetics and Drug Metabolism (18 papers), Genomics, phytochemicals, and oxidative stress (16 papers), MicroRNA in disease regulation (9 papers), Pesticide Exposure and Toxicity (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Cancer Research (775 citations), Health, Toxicology and Mutagenesis (695 citations) and Pharmacology (287 citations). Devendra Parmar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Alok Dhawan, Mahima Bajpayee, Vyom Sharma, Sanjay Yadav, Mukul Das, Alok K. Pandey, Neha Saxena, Ritesh K. Shukla, Neeraj Mathur and Prahlad K. Seth. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Molecular Neurobiology, Environmental and Molecular Mutagenesis, Toxicology and Applied Pharmacology and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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