Vrushank Bhatt
Impact in
-
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Mitochondrial Function and Pathology 3
-
- Autophagy in Disease and Therapy 9
- Co-authors
- Jessie Yanxiang Guo (16 shared papers)Khoosheh Khayati (7 shared papers)Zhixian Hu (8 shared papers)Xiaoyang Su (8 shared papers)Amy S. Lee (1 shared paper)Janet Mullington (3 shared papers)Huan Yang (2 shared papers)Shiva Gautam (2 shared papers)
- Journals
- The FASEB Journal (5 papers)Cancer Research (4 papers)Nature Communications (2 papers)Cell Death and Disease (2 papers)FEBS Journal (1 paper)
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Vrushank Bhatt
20 papers receiving 434 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 121
- Physiology 21
- Experimental and Cognitive Psychology 50
- Geriatrics and Gerontology 12
- Epidemiology 100
Countries citing papers authored by Vrushank Bhatt
This map shows the geographic impact of Vrushank Bhatt'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 Vrushank Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vrushank Bhatt more than expected).
Fields of papers citing papers by Vrushank Bhatt
This network shows the impact of papers produced by Vrushank Bhatt. 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 Vrushank Bhatt. The network helps show where Vrushank Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Vrushank Bhatt, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2016 | 70 | |
| 3 | 2021 | 55 | |
| 4 | 2020 | 37 | |
| 5 | 2023 | 35 | |
| 6 | 2021 | 30 | |
| 7 | 2015 | 26 | |
| 8 | 2024 | 22 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2014 | 1 |
About Vrushank Bhatt
Vrushank Bhatt is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Genetics and Animal Science and Zoology, having authored 22 papers that have together received 436 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Metabolism, Diabetes, and Cancer (5 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer, Lipids, and Metabolism (3 papers), Estrogen and related hormone effects (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (121 citations), Physiology (21 citations), Experimental and Cognitive Psychology (50 citations), Geriatrics and Gerontology (12 citations) and Epidemiology (100 citations). Vrushank Bhatt has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Jessie Yanxiang Guo, Khoosheh Khayati, Zhixian Hu, Xiaoyang Su, Amy S. Lee, Janet Mullington, Huan Yang, Shiva Gautam, Monika Haack and Norah S. Simpson. Their work appears in journals such as The FASEB Journal, Cancer Research, Nature Communications, Cell Death and Disease and FEBS Journal.
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.