Sheetal Bhan

825 total citations
11 papers, 476 citations indexed

About

Sheetal Bhan is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Sheetal Bhan has authored 11 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sheetal Bhan's work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (3 papers) and Immunotherapy and Immune Responses (3 papers). Sheetal Bhan is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (3 papers) and Immunotherapy and Immune Responses (3 papers). Sheetal Bhan collaborates with scholars based in United States. Sheetal Bhan's co-authors include Joseph A. Califano, Chad A. Glazer, Wenyue Sun, Chunbo Shao, Patrick K. Ha, Steven S. Chang, David Sidransky, Ian M. Smith, Ming Zhao and Michelle A. Rudek and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.

In The Last Decade

Sheetal Bhan

11 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheetal Bhan United States 10 384 131 94 94 55 11 476
Olubunmi Afonja United States 9 484 1.3× 112 0.9× 72 0.8× 63 0.7× 77 1.4× 18 610
Yoko Sekita Japan 6 362 0.9× 164 1.3× 81 0.9× 42 0.4× 53 1.0× 7 511
Dongtao Fu United States 9 233 0.6× 159 1.2× 96 1.0× 53 0.6× 30 0.5× 16 407
Toranoshin Ayada Japan 8 296 0.8× 60 0.5× 127 1.4× 89 0.9× 44 0.8× 11 450
Katarina Ejeskär Sweden 16 400 1.0× 188 1.4× 125 1.3× 44 0.5× 61 1.1× 35 593
Jian‐Liang Chou Taiwan 11 333 0.9× 118 0.9× 72 0.8× 58 0.6× 24 0.4× 21 480
Hashmat Sikder United States 6 366 1.0× 125 1.0× 135 1.4× 48 0.5× 46 0.8× 6 515
Shunlin Jiang United States 10 349 0.9× 137 1.0× 104 1.1× 59 0.6× 25 0.5× 14 499
Jennifer B. Edwards United States 8 284 0.7× 115 0.9× 84 0.9× 48 0.5× 33 0.6× 9 444
Jean-Charles Neel Canada 4 303 0.8× 178 1.4× 170 1.8× 77 0.8× 20 0.4× 6 483

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-authorship network of co-authors of Sheetal Bhan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheetal Bhan. A scholar is included among the top collaborators of Sheetal Bhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheetal Bhan. Sheetal Bhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ball, Douglas W., Ning Jin, Ping Xue, et al.. (2015). Trametinib with and without pazopanib has potent preclinical activity in thyroid cancer. Oncology Reports. 34(5). 2319–2324. 19 indexed citations
2.
Bhan, Sheetal, Alice Chuang, Sandeep Negi, Chad A. Glazer, & Joseph A. Califano. (2012). MAGEA4 induces growth in normal oral keratinocytes by inhibiting growth arrest and apoptosis. Oncology Reports. 28(4). 1498–1502. 25 indexed citations
3.
Gaykalova, Daria A., Rajita Vatapalli, Chad A. Glazer, et al.. (2012). Dose-Dependent Activation of Putative Oncogene SBSN by BORIS. PLoS ONE. 7(7). e40389–e40389. 28 indexed citations
4.
Glazer, Chad A., Ian M. Smith, Sheetal Bhan, et al.. (2011). The Role of MAGEA2 in Head and Neck Cancer. Archives of Otolaryngology - Head and Neck Surgery. 137(3). 286–286. 21 indexed citations
5.
Bhan, Sheetal, Sandeep Negi, Chunbo Shao, et al.. (2011). BORIS Binding to the Promoters of Cancer Testis Antigens, MAGEA2, MAGEA3, and MAGEA4, Is Associated with Their Transcriptional Activation in Lung Cancer. Clinical Cancer Research. 17(13). 4267–4276. 46 indexed citations
6.
Shao, Chunbo, Wenyue Sun, Marietta Tan, et al.. (2011). Integrated, Genome-Wide Screening for Hypomethylated Oncogenes in Salivary Gland Adenoid Cystic Carcinoma. Clinical Cancer Research. 17(13). 4320–4330. 63 indexed citations
7.
Sun, Wenyue, Yan Liu, Chad A. Glazer, et al.. (2010). TKTL1 Is Activated by Promoter Hypomethylation and Contributes to Head and Neck Squamous Cell Carcinoma Carcinogenesis through Increased Aerobic Glycolysis and HIF1α Stabilization. Clinical Cancer Research. 16(3). 857–866. 104 indexed citations
9.
Smith, Ian M., Chad A. Glazer, Suhail K. Mithani, et al.. (2009). Coordinated Activation of Candidate Proto-Oncogenes and Cancer Testes Antigens via Promoter Demethylation in Head and Neck Cancer and Lung Cancer. PLoS ONE. 4(3). e4961–e4961. 87 indexed citations
10.
Glazer, Chad A., Ian M. Smith, Michael F. Ochs, et al.. (2009). Integrative Discovery of Epigenetically Derepressed Cancer Testis Antigens in NSCLC. PLoS ONE. 4(12). e8189–e8189. 57 indexed citations

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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