Sheetal Bhan

831 citations
11 papers · 492 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation
    • RNA Interference and Gene Delivery

Papers in

    • Epigenetics and DNA Methylation 4
    • Genomics and Chromatin Dynamics 2
    • Ubiquitin and proteasome pathways 1
    • Gene expression and cancer classification 1
    • Cancer-related gene regulation 1
    • Immunotherapy and Immune Responses 3

Sheetal Bhan

11 papers receiving 485 citations

Peers

Sheetal Bhan
Comparison fields: 5 of 50
  • Cancer Research 111
  • Molecular Biology 323
  • Immunology 89
  • Oncology 73
  • Genetics 49
Replace Bingsheng Sun with:
Bingsheng Sun China
Kacey VanderVorst United States
Alison Kraus Germany
Yanmei Cui China
Tugs-Saikhan Chimed United States
Junyi Ju China
Ya‐Ping Tsai Taiwan
Dongliang Xu China
Jiaping Peng China
Sheetal Bhan relative to Bingsheng Sun China Bingsheng Sun's profile →
Citations per field
00.5×1.5×1.9×
Bingsheng Sun · 1×
Citations per year

Countries citing papers authored by Sheetal Bhan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sheetal Bhan Line = papers co-authored together Sheetal Bhan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010107
2 200995
3 201163
4 200961
5 201146
6 201228
7 201226
8 200824
9 201121
10 201519
11 20102

About Sheetal Bhan

Sheetal Bhan is a scholar working on Molecular Biology, Immunology, Surgery, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 492 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Immunotherapy and Immune Responses (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Mechanisms and Therapy (1 paper), Ubiquitin and proteasome pathways (1 paper), Gene expression and cancer classification (1 paper), Cancer-related gene regulation (1 paper) and Thyroid Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (111 citations), Molecular Biology (323 citations), Immunology (89 citations), Oncology (73 citations) and Genetics (49 citations). Sheetal Bhan has collaborated with scholars based in United States. Frequent co-authors include Chad A. Glazer, Joseph A. Califano, Wenyue Sun, Chunbo Shao, Patrick K. Ha, David Sidransky, Ian M. Smith, Steven S. Chang, Semra Demokan and Ming Zhao. 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.

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