Dimple Chakravarty
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Genetics top 5%
- Estrogen and related hormone effects
Papers in
- Co-authors
- Francesca Demichelis (3 shared papers)Mark A. Rubin (2 shared papers)Ekta Khurana (2 shared papers)Ratna K. Vadlamudi (11 shared papers)Mark Gerstein (1 shared paper)Yao Fu (1 shared paper)Rajeshwar R. Tekmal (10 shared papers)Sujit S. Nair (16 shared papers)
- Journals
- Cancer Research (5 papers)Molecular Cancer Research (2 papers)Acta Histochemica (1 paper)Cancers (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Dimple Chakravarty
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 298
- Genetics 343
- Oncology 270
- Molecular Biology 603
- Obstetrics and Gynecology 54
Countries citing papers authored by Dimple Chakravarty
This map shows the geographic impact of Dimple Chakravarty'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 Dimple Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimple Chakravarty more than expected).
Fields of papers citing papers by Dimple Chakravarty
This network shows the impact of papers produced by Dimple Chakravarty. 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 Dimple Chakravarty. The network helps show where Dimple Chakravarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Dimple Chakravarty, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 315 | |
| 2 | 2020 | 91 | |
| 3 | 2010 | 89 | |
| 4 | 2010 | 76 | |
| 5 | 2010 | 62 | |
| 6 | 2011 | 43 | |
| 7 | 2008 | 37 | |
| 8 | 2011 | 36 | |
| 9 | 2010 | 35 | |
| 10 | 2009 | 28 | |
| 11 | 2008 | 27 | |
| 12 | 2007 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2021 | 19 | |
| 15 | 2009 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2011 | 13 | |
| 18 | 2009 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2008 | 10 |
About Dimple Chakravarty
Dimple Chakravarty is a scholar working on Genetics, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Prostate Cancer Treatment and Research (6 papers), HER2/EGFR in Cancer Research (4 papers), RNA Research and Splicing (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 and healthcare impacts (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (298 citations), Genetics (343 citations), Oncology (270 citations), Molecular Biology (603 citations) and Obstetrics and Gynecology (54 citations). Dimple Chakravarty has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Francesca Demichelis, Mark A. Rubin, Ekta Khurana, Ratna K. Vadlamudi, Mark Gerstein, Yao Fu, Rajeshwar R. Tekmal, Sujit S. Nair, Binoj C. Nair and Ashutosh Tewari. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Acta Histochemica, Cancers and Clinical Cancer 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.