Anoop Kumar
Impact in
- Toxicology top 5%
- Pharmacology top 2%
Papers in
-
- Pesticide Exposure and Toxicity 7
- Co-authors
- Ruchika Sharma (23 shared papers)Neelima Sharma (11 shared papers)Gabriele Sabbioni (7 shared papers)Meenakshi Gupta (3 shared papers)D. Sasmal (4 shared papers)Kamal Kant (7 shared papers)Nagaraju Dongari (5 shared papers)Dinakar Sasmal (5 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)Infectious Disorders - Drug Targets (5 papers)Chemical Research in Toxicology (3 papers)Expert Opinion on Drug Safety (3 papers)CNS & Neurological Disorders - Drug Targets (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Anoop Kumar
160 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 156
- Toxicology 65
- Pharmacology 164
- Health, Toxicology and Mutagenesis 240
- Complementary and alternative medicine 127
- Molecular Medicine 65
Countries citing papers authored by Anoop Kumar
This map shows the geographic impact of Anoop 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 Anoop Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anoop Kumar more than expected).
Fields of papers citing papers by Anoop Kumar
This network shows the impact of papers produced by Anoop 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 Anoop Kumar. The network helps show where Anoop Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anoop Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 130 | |
| 2 | 2018 | 110 | |
| 3 | 2017 | 109 | |
| 4 | 2005 | 99 | |
| 5 | 2020 | 96 | |
| 6 | 2013 | 73 | |
| 7 | 2021 | 62 | |
| 8 | 2014 | 59 | |
| 9 | 2016 | 55 | |
| 10 | 2010 | 50 | |
| 11 | 2021 | 49 | |
| 12 | 2013 | 48 | |
| 13 | 2021 | 47 | |
| 14 | 2015 | 42 | |
| 15 | 2012 | 42 | |
| 16 | 2008 | 41 | |
| 17 | 2015 | 40 | |
| 18 | 2021 | 40 | |
| 19 | 2018 | 39 | |
| 20 | 2018 | 38 |
About Anoop Kumar
Anoop Kumar is a scholar working on Plant Science, Molecular Biology, Pharmacology, Insect Science and Organic Chemistry, having authored 181 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Insect-Plant Interactions and Control (10 papers), Insect and Pesticide Research (9 papers), Piperaceae Chemical and Biological Studies (8 papers), Pesticide Exposure and Toxicity (7 papers), Topic Modeling (7 papers), Synthesis and biological activity (7 papers) and Pesticide Residue Analysis and Safety (6 papers). The work is most often cited by research in Toxicology (65 citations), Pharmacology (164 citations), Health, Toxicology and Mutagenesis (240 citations), Complementary and alternative medicine (127 citations) and Molecular Medicine (65 citations). Anoop Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Ruchika Sharma, Neelima Sharma, Gabriele Sabbioni, Meenakshi Gupta, D. Sasmal, Kamal Kant, Nagaraju Dongari, Dinakar Sasmal, S.J.S. Flora and Lal Babu Chaudhary. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Infectious Disorders - Drug Targets, Chemical Research in Toxicology, Expert Opinion on Drug Safety and CNS & Neurological Disorders - Drug Targets.
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.