Arvind Sharma
Impact in
- Insect Science top 5%
- Insect symbiosis and bacterial influences
- Insect and Pesticide Research
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
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- Insect Resistance and Genetics 10
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- Insect symbiosis and bacterial influences 7
- Insect and Pesticide Research 3
- Co-authors
- Monika Gulia-Nuss (16 shared papers)Andrew B. Nuss (14 shared papers)S. K. Gakhar (5 shared papers)Michael N. Pham (7 shared papers)Venkatesh Uddameri (1 shared paper)Lee K. Steck (1 shared paper)Peter M. Roberts (1 shared paper)Richa Sharma (3 shared papers)
- Journals
- Insects (3 papers)Journal of Visualized Experiments (2 papers)Frontiers in Endocrinology (2 papers)Scientific Reports (2 papers)Infection Genetics and Evolution (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Arvind Sharma
22 papers receiving 291 citations
Peers
Comparison fields: 5 of 54
- Insect Science 108
- Parasitology 53
- Geophysics 36
- Ocean Engineering 35
- Cellular and Molecular Neuroscience 36
Countries citing papers authored by Arvind Sharma
This map shows the geographic impact of Arvind Sharma'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 Arvind Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Sharma more than expected).
Fields of papers citing papers by Arvind Sharma
This network shows the impact of papers produced by Arvind Sharma. 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 Arvind Sharma. The network helps show where Arvind Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Sharma, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 55 | |
| 2 | 2001 | 49 | |
| 3 | 2019 | 38 | |
| 4 | Population genetic structure of malaria vector Anopheles stephensi Liston (Diptera: Culicidae). | 2013 | 20 |
| 5 | 2020 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2016 | 3 | |
| 18 | Population genetic structure of malaria vector Anopheles stephensi using mitochondrial cytochrome oxidase II gene in Indian populations. | 2014 | 3 |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Arvind Sharma
Arvind Sharma is a scholar working on Molecular Biology, Insect Science, Plant Science, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 295 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (10 papers), Insect symbiosis and bacterial influences (7 papers), Vector-borne infectious diseases (5 papers), Vector-Borne Animal Diseases (4 papers), Insect Pest Control Strategies (4 papers), Malaria Research and Control (4 papers), Mosquito-borne diseases and control (4 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Insect Science (108 citations), Parasitology (53 citations), Geophysics (36 citations), Ocean Engineering (35 citations) and Cellular and Molecular Neuroscience (36 citations). Arvind Sharma has collaborated with scholars based in United States, India and China. Frequent co-authors include Monika Gulia-Nuss, Andrew B. Nuss, S. K. Gakhar, Michael N. Pham, Venkatesh Uddameri, Lee K. Steck, Peter M. Roberts, Richa Sharma, Won Cheol Yim and Dong‐Hun Kim. Their work appears in journals such as Insects, Journal of Visualized Experiments, Frontiers in Endocrinology, Scientific Reports and Infection Genetics and Evolution.
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.