Dipa Bhaumik
- Molecular Biology top 5%
- Cancer Research top 1%
- Physiology top 2%
- Immunology top 5%
- Oncology top 10%
- Co-authors
- Judith CampisiGary K. ScottFrançis RodierChristopher C. BenzArturo V. OrjaloChristopher K. PatilShiruyeh SchokrpurJ. Campisi
- Topics
- Genetics, Aging, and Longevity in Model Organisms (8 papers)Biochemical and Molecular Research (5 papers)MicroRNA in disease regulation (5 papers)
- Cited by
- AgingCancer ResearchPhysiology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesIndiaChina
In The Last Decade
Dipa Bhaumik
26 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.2k
- Cancer Research 1.3k
- Physiology 931
- Immunology 575
- Oncology 336
Countries citing papers authored by Dipa Bhaumik
This map shows the geographic impact of Dipa Bhaumik'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 Dipa Bhaumik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipa Bhaumik more than expected).
Fields of papers citing papers by Dipa Bhaumik
This network shows the impact of papers produced by Dipa Bhaumik. 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 Dipa Bhaumik. The network helps show where Dipa Bhaumik may publish in the future.
Co-authorship network of co-authors of Dipa Bhaumik
This figure shows the co-authorship network connecting the top 25 collaborators of Dipa Bhaumik. A scholar is included among the top collaborators of Dipa Bhaumik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dipa Bhaumik. Dipa Bhaumik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | Alpha-Ketoglutarate, an Endogenous Metabolite, Extends Lifespan and Compresses Morbidity in Aging Micebreakdown → | 266 |
| 4 | 1 | |
| 5 | 52 | |
| 6 | 66 | |
| 7 | 103 | |
| 8 | 28 | |
| 9 | 405 | |
| 10 | 492 | |
| 11 | 406 | |
| 12 | Expression of microRNA-146 suppresses NF-κB activity with reduction of metastatic potential in breast cancer cellsbreakdown → | 532 |
| 13 | 298 | |
| 14 | Coordinate Suppression of ERBB2 and ERBB3 by Enforced Expression of Micro-RNA miR-125a or miR-125bbreakdown → | 525 |
| 15 | 35 | |
| 16 | 41 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | 23 |
About Dipa Bhaumik
Dipa Bhaumik is a scholar working on Aging, Physiology and Geriatrics and Gerontology, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Biochemical and Molecular Research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Aging (294 citations), Cancer Research (1.3k citations) and Physiology (931 citations). Dipa Bhaumik has collaborated with scholars based in United States, India and China. Frequent co-authors include Judith Campisi, Gary K. Scott, Françis Rodier, Christopher C. Benz, Arturo V. Orjalo, Christopher K. Patil, Shiruyeh Schokrpur, J. Campisi, Gordon J. Lithgow and G K Scott. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.