Sheetal Bhan
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA Interference and Gene Delivery
- Metabolism, Diabetes, and Cancer
Papers in
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- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 2
- Cancer-related gene regulation 2
- Genomics and Chromatin Dynamics 2
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- Immunotherapy and Immune Responses 3
- Co-authors
- Chad A. Glazer (9 shared papers)Joseph A. Califano (9 shared papers)Wenyue Sun (7 shared papers)Patrick K. Ha (5 shared papers)Chunbo Shao (5 shared papers)Ian M. Smith (3 shared papers)David Sidransky (3 shared papers)Steven S. Chang (3 shared papers)
- Journals
- Clinical Cancer Research (3 papers)PLoS ONE (3 papers)Oncology Reports (2 papers)Gene (1 paper)Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Sheetal Bhan
11 papers receiving 471 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 131
- Molecular Biology 384
- Immunology 94
- Oncology 94
- Genetics 55
Countries citing papers authored by Sheetal Bhan
This map shows the geographic impact of Sheetal Bhan'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 Sheetal Bhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheetal Bhan more than expected).
Fields of papers citing papers by Sheetal Bhan
This network shows the impact of papers produced by Sheetal Bhan. 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 Sheetal Bhan. The network helps show where Sheetal Bhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheetal Bhan, 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 | 2010 | 104 | |
| 2 | 2009 | 87 | |
| 3 | 2011 | 63 | |
| 4 | 2009 | 57 | |
| 5 | 2011 | 46 | |
| 6 | 2012 | 28 | |
| 7 | 2012 | 25 | |
| 8 | 2008 | 24 | |
| 9 | 2011 | 21 | |
| 10 | 2015 | 19 | |
| 11 | 2010 | 2 |
About Sheetal Bhan
Sheetal Bhan is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Surgery and Oncology, having authored 11 papers that have together received 476 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Immunotherapy and Immune Responses (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer-related gene regulation (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (384 citations), Immunology (94 citations), Oncology (94 citations) and Genetics (55 citations). Sheetal Bhan has collaborated with scholars based in United States. Frequent co-authors include Chad A. Glazer, Joseph A. Califano, Wenyue Sun, Patrick K. Ha, Chunbo Shao, Ian M. Smith, David Sidransky, Steven S. Chang, Semra Demokan and Yan Liu. Their work appears in journals such as Clinical Cancer Research, PLoS ONE, Oncology Reports, Gene and 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.