Geeta Devgan
Impact in
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
- Immunology top 5%
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
- Co-authors
- Jacqueline Bromberg (5 shared papers)James Darnell (4 shared papers)Richard G. Pestell (3 shared papers)Yanxiang Zhao (2 shared papers)Chris Albanese (2 shared papers)Yuhong Shen (1 shared paper)M Snyder (5 shared papers)Kenneth Leslie (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)The Oncologist (2 papers)Future Oncology (2 papers)Cell (2 papers)Cancer Treatment Reviews (2 papers)
- Partner nations
- United StatesJapanPoland
In The Last Decade
Geeta Devgan
24 papers receiving 3.4k citations
Geeta Devgan's Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 2.2k
- Immunology 834
- Cancer Research 472
- Pathology and Forensic Medicine 493
- Toxicology 89
Countries citing papers authored by Geeta Devgan
This map shows the geographic impact of Geeta Devgan'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 Geeta Devgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geeta Devgan more than expected).
Fields of papers citing papers by Geeta Devgan
This network shows the impact of papers produced by Geeta Devgan. 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 Geeta Devgan. The network helps show where Geeta Devgan may publish in the future.
Co-authors
The 25 scholars most cited alongside Geeta Devgan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stat3 as an Oncogene Hit paper breakdown → | 1999 | 2504 |
| 2 | 2006 | 244 | |
| 3 | 2001 | 227 | |
| 4 | 2010 | 97 | |
| 5 | 2005 | 85 | |
| 6 | 2018 | 60 | |
| 7 | 2021 | 38 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 32 | |
| 10 | 2004 | 29 | |
| 11 | 2002 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2024 | 10 | |
| 14 | 2022 | 5 | |
| 15 | 1999 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Geeta Devgan
Geeta Devgan is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (8 papers), Urinary and Genital Oncology Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Gene expression and cancer classification (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Multiple and Secondary Primary Cancers (3 papers). The work is most often cited by research in Oncology (2.2k citations), Immunology (834 citations), Cancer Research (472 citations), Pathology and Forensic Medicine (493 citations) and Toxicology (89 citations). Geeta Devgan has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Jacqueline Bromberg, James Darnell, Richard G. Pestell, Yanxiang Zhao, Chris Albanese, Yuhong Shen, M Snyder, Kenneth Leslie, Toshiyuki Sakamaki and Christopher Albanese. Their work appears in journals such as Journal of Clinical Oncology, The Oncologist, Future Oncology, Cell and Cancer Treatment Reviews.
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.