Deepika Vasudevan
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Cell Biology 12
- Endoplasmic Reticulum Stress and Disease 12
- Co-authors
- Hyung Don RyooRobert S. HaltiwangerHideyuki TakeuchiElaine M. MajerusBrian BrownMichael T. MarrTimothy CardozoThomas A. Neubert
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)The Journal of Cell Biology (1 paper)Current topics in developmental biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Deepika Vasudevan
19 papers receiving 555 citations
Peers
Comparison fields: 5 of 80
- Aging 48
- Cell Biology 162
- Immunology 134
- Molecular Biology 372
- Biological Psychiatry 9
Countries citing papers authored by Deepika Vasudevan
This map shows the geographic impact of Deepika Vasudevan'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 Deepika Vasudevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Vasudevan more than expected).
Fields of papers citing papers by Deepika Vasudevan
This network shows the impact of papers produced by Deepika Vasudevan. 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 Deepika Vasudevan. The network helps show where Deepika Vasudevan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Vasudevan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 27 | |
| 9 | 2020 | 57 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 78 | |
| 15 | 2016 | 52 | |
| 16 | 2016 | 15 | |
| 17 | 2016 | 25 | |
| 18 | 2015 | 46 | |
| 19 | 2014 | 58 | |
| 20 | 2014 | 72 |
About Deepika Vasudevan
Deepika Vasudevan is a scholar working on Aging, Cell Biology, Immunology, Molecular Biology and Immunology and Allergy, having authored 21 papers that have together received 557 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (12 papers), CRISPR and Genetic Engineering (5 papers), Glycosylation and Glycoproteins Research (3 papers), RNA regulation and disease (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Galectins and Cancer Biology (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Aging (48 citations), Cell Biology (162 citations), Immunology (134 citations), Molecular Biology (372 citations) and Biological Psychiatry (9 citations). Deepika Vasudevan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Hyung Don Ryoo, Robert S. Haltiwanger, Hideyuki Takeuchi, Elaine M. Majerus, Brian Brown, Michael T. Marr, Timothy Cardozo, Thomas A. Neubert, Kyunggon Kim and Min‐Ji Kang. Their work appears in journals such as Nature Communications, Cell Reports, The Journal of Cell Biology, Current topics in developmental biology and Scientific Reports.
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.