Amit Dey
Impact in
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- Vibrio bacteria research studies
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- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
Papers in
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- Mitochondrial Function and Pathology 3
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 2
- Single-cell and spatial transcriptomics 2
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- Telomeres, Telomerase, and Senescence 4
- Co-authors
- Tushar Kanti Maiti (7 shared papers)Sushmita Bhattacharya (1 shared paper)Rukhsana Chowdhury (2 shared papers)Ritwik Patra (1 shared paper)Suprabhat Mukherjee (1 shared paper)Megha Agarwal (2 shared papers)Ira Shah (1 shared paper)Sudip Kumar Ghosh (2 shared papers)
- Journals
- ACS Chemical Neuroscience (1 paper)Stem Cells (1 paper)Journal of Bacteriology (1 paper)Cell Death and Disease (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Amit Dey
24 papers receiving 218 citations
Peers
Comparison fields: 5 of 70
- Endocrinology 16
- Molecular Biology 124
- Aging 3
- Oncology 43
- Immunology 32
Countries citing papers authored by Amit Dey
This map shows the geographic impact of Amit Dey'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 Amit Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Dey more than expected).
Fields of papers citing papers by Amit Dey
This network shows the impact of papers produced by Amit Dey. 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 Amit Dey. The network helps show where Amit Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Dey, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2013 | 18 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 13 | |
| 6 | Aquagenic palmar wrinkling in two Indian patients with special reference to its dermoscopic pattern. | 2015 | 9 |
| 7 | 2022 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Amit Dey
Amit Dey is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 29 papers that have together received 221 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA modifications and cancer (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Vibrio bacteria research studies (2 papers), Single-cell and spatial transcriptomics (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (16 citations), Molecular Biology (124 citations), Aging (3 citations), Oncology (43 citations) and Immunology (32 citations). Amit Dey has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Tushar Kanti Maiti, Sushmita Bhattacharya, Rukhsana Chowdhury, Ritwik Patra, Suprabhat Mukherjee, Megha Agarwal, Ira Shah, Sudip Kumar Ghosh, Bhoj Kumar and Nathan Basisty. Their work appears in journals such as ACS Chemical Neuroscience, Stem Cells, Journal of Bacteriology, Cell Death and Disease and Journal of Proteome Research.
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.