Sunil Mehta
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Ion channel regulation and function 4
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- Autism Spectrum Disorder Research 8
- Co-authors
- Hugo J. Bellen (6 shared papers)John Marshall (4 shared papers)P. Robin Hiesinger (5 shared papers)Karen L. Schulze (4 shared papers)Yu Cao (4 shared papers)Patrik Verstreken (4 shared papers)R. Grace Zhai (4 shared papers)Leslie A.C. Blair (2 shared papers)
- Journals
- Frontiers in Molecular Neuroscience (4 papers)Journal of Biological Chemistry (3 papers)Current Biology (2 papers)Neuron (2 papers)Genetics in Medicine (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sunil Mehta
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Cell Biology 637
- Cellular and Molecular Neuroscience 624
- Aging 57
- Geriatrics and Gerontology 60
- Molecular Biology 1.3k
Countries citing papers authored by Sunil Mehta
This map shows the geographic impact of Sunil Mehta'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 Sunil Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Mehta more than expected).
Fields of papers citing papers by Sunil Mehta
This network shows the impact of papers produced by Sunil Mehta. 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 Sunil Mehta. The network helps show where Sunil Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Mehta, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 251 | |
| 2 | 1998 | 235 | |
| 3 | 2005 | 227 | |
| 4 | 2005 | 169 | |
| 5 | 2006 | 132 | |
| 6 | 1999 | 123 | |
| 7 | 2005 | 121 | |
| 8 | 2011 | 108 | |
| 9 | 2006 | 86 | |
| 10 | 2019 | 85 | |
| 11 | 1998 | 72 | |
| 12 | 2001 | 66 | |
| 13 | 2001 | 53 | |
| 14 | 2006 | 53 | |
| 15 | 2002 | 40 | |
| 16 | 1999 | 27 | |
| 17 | 2020 | 23 | |
| 18 | 2021 | 20 | |
| 19 | 2023 | 13 | |
| 20 | 2022 | 10 |
About Sunil Mehta
Sunil Mehta is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Genetics and Cell Biology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (8 papers), Cellular transport and secretion (4 papers), Trace Elements in Health (4 papers), Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Child Nutrition and Feeding Issues (3 papers). The work is most often cited by research in Cell Biology (637 citations), Cellular and Molecular Neuroscience (624 citations), Aging (57 citations), Geriatrics and Gerontology (60 citations) and Molecular Biology (1.3k citations). Sunil Mehta has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Hugo J. Bellen, John Marshall, P. Robin Hiesinger, Karen L. Schulze, Yu Cao, Patrik Verstreken, R. Grace Zhai, Leslie A.C. Blair, Franck Pichaud and Shu-Ya Wu. Their work appears in journals such as Frontiers in Molecular Neuroscience, Journal of Biological Chemistry, Current Biology, Neuron and Genetics in Medicine.
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.