Udayan Guha
Impact in
- Oncology top 5%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
- Gastroenterology top 5%
Papers in
- Oncology 31
- Lung Cancer Research Studies 9
- Peptidase Inhibition and Analysis 6
- Colorectal Cancer Treatments and Studies 5
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- PI3K/AKT/mTOR signaling in cancer 6
- RNA modifications and cancer 4
- Co-authors
- John A. Kessler (6 shared papers)Natalya Kurochkina (1 shared paper)Arun Rajan (17 shared papers)William A. Gomes (3 shared papers)Richard G. Pestell (2 shared papers)Tapan K. Maity (16 shared papers)Lixin Kan (3 shared papers)Chul Kim (6 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Journal of Thoracic Oncology (5 papers)Molecular & Cellular Proteomics (3 papers)Annals of Oncology (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Udayan Guha
51 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 108
- Oncology 679
- Gastroenterology 96
- Neurology 251
- Molecular Biology 1.0k
- Cancer Research 227
Countries citing papers authored by Udayan Guha
This map shows the geographic impact of Udayan Guha'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 Udayan Guha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udayan Guha more than expected).
Fields of papers citing papers by Udayan Guha
This network shows the impact of papers produced by Udayan Guha. 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 Udayan Guha. The network helps show where Udayan Guha may publish in the future.
Co-authors
The 25 scholars most cited alongside Udayan Guha, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 197 | |
| 2 | 2015 | 150 | |
| 3 | 2012 | 133 | |
| 4 | 2012 | 132 | |
| 5 | 2013 | 128 | |
| 6 | 2002 | 124 | |
| 7 | 2011 | 116 | |
| 8 | 2004 | 111 | |
| 9 | 2021 | 100 | |
| 10 | 2008 | 94 | |
| 11 | 2008 | 88 | |
| 12 | 2016 | 77 | |
| 13 | 2022 | 60 | |
| 14 | 2016 | 58 | |
| 15 | 2004 | 57 | |
| 16 | 2004 | 56 | |
| 17 | 2015 | 51 | |
| 18 | 2021 | 43 | |
| 19 | 2017 | 37 | |
| 20 | 2014 | 34 |
About Udayan Guha
Udayan Guha is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Neurology, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (26 papers), Lung Cancer Research Studies (9 papers), Cancer Genomics and Diagnostics (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Peptidase Inhibition and Analysis (6 papers), Colorectal Cancer Treatments and Studies (5 papers), RNA modifications and cancer (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (679 citations), Gastroenterology (96 citations), Neurology (251 citations), Molecular Biology (1.0k citations) and Cancer Research (227 citations). Udayan Guha has collaborated with scholars based in United States, Japan and India. Frequent co-authors include John A. Kessler, Natalya Kurochkina, Arun Rajan, William A. Gomes, Richard G. Pestell, Tapan K. Maity, Lixin Kan, Chul Kim, Anish Thomas and Tatsuya Kobayashi. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Molecular & Cellular Proteomics, Annals of Oncology 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.