Deepavali Chakravarti
- Aging top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation 2
- Oncology top 5%
- Cancer-related Molecular Pathways 5
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 2
- Biotechnology top 5%
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- Inflammatory Bowel Disease 3
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- Tryptophan and brain disorders 2
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- Immune cells in cancer 2
- Co-authors
- Ronald A. DePinhoKyle A. LaBellaElsa R. FloresXiaohua SuJiexi LiXingdi MaShabnam ShalapourYoung Jin Gi
- Cited by
- AgingCancer ResearchOncology
- Partner nations
- United StatesDenmarkAustralia
In The Last Decade
Deepavali Chakravarti
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 97
- Cancer Research 500
- Oncology 574
- Molecular Biology 1.0k
- Biotechnology 101
Countries citing papers authored by Deepavali Chakravarti
This map shows the geographic impact of Deepavali Chakravarti'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 Deepavali Chakravarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepavali Chakravarti more than expected).
Fields of papers citing papers by Deepavali Chakravarti
This network shows the impact of papers produced by Deepavali Chakravarti. 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 Deepavali Chakravarti. The network helps show where Deepavali Chakravarti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepavali Chakravarti, 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 | 2024 | 4 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 39 | |
| 7 | 2022 | 18 | |
| 8 | Genetic and biological hallmarks of colorectal cancerbreakdown → | 2021 | 321 |
| 9 | Telomeres: history, health, and hallmarks of agingbreakdown → | 2021 | 390 |
| 10 | Telomere Dysfunction as an Initiator of Inflammation: Clues to an Age-Old Mystery. | 2021 | 1 |
| 11 | 2019 | 44 | |
| 12 | 2014 | 99 | |
| 13 | 2013 | 111 | |
| 14 | 2012 | 131 | |
| 15 | 2012 | 91 | |
| 16 | 2011 | 33 | |
| 17 | 2010 | 351 |
About Deepavali Chakravarti
Deepavali Chakravarti is a scholar working on Biological Psychiatry, Aging and Oncology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (4 papers), Inflammatory Bowel Disease (3 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Tryptophan and brain disorders (2 papers), Ubiquitin and proteasome pathways (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Aging (97 citations), Cancer Research (500 citations) and Oncology (574 citations). Deepavali Chakravarti has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Ronald A. DePinho, Kyle A. LaBella, Elsa R. Flores, Xiaohua Su, Jiexi Li, Xingdi Ma, Shabnam Shalapour, Young Jin Gi, Chad J. Creighton and Adel K. El‐Naggar. Their work appears in journals such as Nature, Cell and Journal of Clinical Investigation.
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.