Jay M. Bhatt
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- CRISPR and Genetic Engineering 3
- Heat shock proteins research 3
- Retinal Development and Disorders 3
- Lipid Membrane Structure and Behavior 2
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Shashank M. Dravid (5 shared papers)Roopali Yadav (2 shared papers)Dustin J. Stairs (2 shared papers)Brandon G. Hillman (2 shared papers)Subhash C. Gupta (2 shared papers)Pratyush Suryavanshi (3 shared papers)Anil K. Challa (1 shared paper)Ratnamala Pavuluri (2 shared papers)
- Journals
- PLoS ONE (4 papers)CBE—Life Sciences Education (2 papers)Scientific Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesIndiaArgentina
In The Last Decade
Jay M. Bhatt
19 papers receiving 354 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 127
- Biological Psychiatry 13
- Developmental Neuroscience 19
- Aging 7
- Cell Biology 59
Countries citing papers authored by Jay M. Bhatt
This map shows the geographic impact of Jay M. Bhatt'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 Jay M. Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay M. Bhatt more than expected).
Fields of papers citing papers by Jay M. Bhatt
This network shows the impact of papers produced by Jay M. Bhatt. 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 Jay M. Bhatt. The network helps show where Jay M. Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay M. Bhatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 99 | |
| 2 | 2013 | 49 | |
| 3 | 2018 | 27 | |
| 4 | 2018 | 22 | |
| 5 | 2012 | 21 | |
| 6 | 2017 | 18 | |
| 7 | 2015 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 0 |
About Jay M. Bhatt
Jay M. Bhatt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Public Health, Environmental and Occupational Health and Safety Research, having authored 20 papers that have together received 355 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Neuroscience and Neuropharmacology Research (4 papers), CRISPR and Genetic Engineering (3 papers), Heat shock proteins research (3 papers), Career Development and Diversity (3 papers), Biomedical and Engineering Education (3 papers), Retinal Development and Disorders (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (127 citations), Biological Psychiatry (13 citations), Developmental Neuroscience (19 citations), Aging (7 citations) and Cell Biology (59 citations). Jay M. Bhatt has collaborated with scholars based in United States, India and Argentina. Frequent co-authors include Shashank M. Dravid, Roopali Yadav, Dustin J. Stairs, Brandon G. Hillman, Subhash C. Gupta, Pratyush Suryavanshi, Anil K. Challa, Ratnamala Pavuluri, Elizabeth Sztul and Justyna M. Meissner. Their work appears in journals such as PLoS ONE, CBE—Life Sciences Education, Scientific Reports, Frontiers in Cell and Developmental Biology and Molecular Pharmacology.
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.