Asha Das
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- Cell death mechanisms and regulation 4
- Protein Tyrosine Phosphatases 3
- Oncology 9
- Co-authors
- Keith L. Black (4 shared papers)Christopher J. Wheeler (3 shared papers)John S. Yu (3 shared papers)Gentao Liu (3 shared papers)Duncan R. Smith (7 shared papers)Madhu S. Nair (6 shared papers)Timo L.M. ten Hagen (9 shared papers)Indranil Gupta (1 shared paper)
- Journals
- Journal of Neuro-Oncology (3 papers)Oncotarget (3 papers)Journal of Clinical Oncology (2 papers)Neuro-Oncology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesSingaporeNetherlands
In The Last Decade
Asha Das
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Genetics 323
- Immunology 270
- Oncology 314
- Cancer Research 165
- Hepatology 58
Countries citing papers authored by Asha Das
This map shows the geographic impact of Asha Das'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 Asha Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asha Das more than expected).
Fields of papers citing papers by Asha Das
This network shows the impact of papers produced by Asha Das. 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 Asha Das. The network helps show where Asha Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Asha Das, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 208 | |
| 2 | 1990 | 97 | |
| 3 | 2003 | 95 | |
| 4 | 2010 | 91 | |
| 5 | 1999 | 89 | |
| 6 | 2020 | 68 | |
| 7 | 2005 | 64 | |
| 8 | 2013 | 63 | |
| 9 | 2010 | 62 | |
| 10 | 2016 | 56 | |
| 11 | 2002 | 54 | |
| 12 | 2004 | 52 | |
| 13 | 2015 | 43 | |
| 14 | 2016 | 42 | |
| 15 | 2003 | 40 | |
| 16 | 2014 | 37 | |
| 17 | 2013 | 36 | |
| 18 | 2018 | 33 | |
| 19 | 2000 | 31 | |
| 20 | 2015 | 31 |
About Asha Das
Asha Das is a scholar working on Molecular Biology, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Virus-based gene therapy research (5 papers), AI in cancer detection (4 papers), Cell death mechanisms and regulation (4 papers), Protease and Inhibitor Mechanisms (4 papers), Meningioma and schwannoma management (4 papers), Cell Adhesion Molecules Research (4 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Genetics (323 citations), Immunology (270 citations), Oncology (314 citations), Cancer Research (165 citations) and Hepatology (58 citations). Asha Das has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Keith L. Black, Christopher J. Wheeler, John S. Yu, Gentao Liu, Duncan R. Smith, Madhu S. Nair, Timo L.M. ten Hagen, Indranil Gupta, Jennifer Gek Choo Teo and Ian R. Wanless. Their work appears in journals such as Journal of Neuro-Oncology, Oncotarget, Journal of Clinical Oncology, Neuro-Oncology 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.