Sunil Badve
- Cancer Research top 0.1%
- Breast Cancer Treatment Studies 74
- Cancer Genomics and Diagnostics 36
- Oncology top 0.2%
- Cancer Cells and Metastasis 39
- HER2/EGFR in Cancer Research 37
- Cancer Immunotherapy and Biomarkers 26
- Pathology and Forensic Medicine top 0.5%
- Breast Lesions and Carcinomas 28
- Molecular Biology top 1%
- Genetics top 1%
- Estrogen and related hormone effects 21
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- Myasthenia Gravis and Thymoma 22
- Co-authors
- Harikrishna NakshatriPoornima Bhat‐NakshatriGeorge W. SledgeYesim Gökmen‐PolarEdith A. PerezFrederick L. BaehnerAkira MorimiyaNancy E. Davidson
- Journals
- Journal of Clinical Oncology (47 papers)Cancer Research (23 papers)Modern Pathology (21 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sunil Badve
301 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 4.6k
- Oncology 6.4k
- Pathology and Forensic Medicine 1.5k
- Molecular Biology 5.5k
- Genetics 747
Countries citing papers authored by Sunil Badve
This map shows the geographic impact of Sunil Badve'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 Sunil Badve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Badve more than expected).
Fields of papers citing papers by Sunil Badve
This network shows the impact of papers produced by Sunil Badve. 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 Sunil Badve. The network helps show where Sunil Badve may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunil Badve, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 67 | |
| 8 | 2016 | 18 | |
| 9 | A large microRNA cluster on chromosome 19 is a transcriptional hallmark of WHO type A and AB thymomas | 2016 | 3 |
| 10 | Upregulation of HSF1 in estrogen receptor positive breast cancer | 2016 | 2 |
| 11 | Prognostic Value of Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancers From Two Phase III Randomized Adjuvant Breast Cancer Trials: ECOG 2197 and ECOG 1199breakdown → | 2014 | 953 |
| 12 | 2013 | 92 | |
| 13 | 2013 | 47 | |
| 14 | 2010 | 20 | |
| 15 | 2010 | 42 | |
| 16 | 2009 | 21 | |
| 17 | 2008 | 487 | |
| 18 | 2006 | 114 | |
| 19 | Diindolylmethane inhibits indoleamine 2,3-dioxygenase activity in breast cancer cells | 2005 | 1 |
| 20 | 1998 | 63 |
About Sunil Badve
Sunil Badve is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 309 papers that have together received 14.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (74 papers), Cancer Cells and Metastasis (39 papers), HER2/EGFR in Cancer Research (37 papers), Cancer Genomics and Diagnostics (36 papers), Breast Lesions and Carcinomas (28 papers), Cancer Immunotherapy and Biomarkers (26 papers), Myasthenia Gravis and Thymoma (22 papers) and Estrogen and related hormone effects (21 papers). The work is most often cited by research in Cancer Research (4.6k citations), Oncology (6.4k citations) and Pathology and Forensic Medicine (1.5k citations). Sunil Badve has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Harikrishna Nakshatri, Poornima Bhat‐Nakshatri, George W. Sledge, Yesim Gökmen‐Polar, Edith A. Perez, Frederick L. Baehner, Akira Morimiya, Nancy E. Davidson, Romil Saxena and Susan E. Clare. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Modern Pathology, Breast Cancer Research and Treatment and Clinical 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.