Shipra Das
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
-
- RNA Research and Splicing 6
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 5
- Viral Infectious Diseases and Gene Expression in Insects 2
- Oncology 7
- Pancreatic and Hepatic Oncology Research 3
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 3
- Co-authors
- Adrian R. Krainer (4 shared papers)Dafna Bar‐Sagi (4 shared papers)Martin Akerman (5 shared papers)Olga Anczuków (3 shared papers)Adrian R. Krainer (2 shared papers)Beny Shapiro (1 shared paper)Emily Vucic (1 shared paper)Sandra Vogt (1 shared paper)
- Journals
- Cell Reports (2 papers)Molecular Cell (1 paper)ESMO Open (1 paper)Methods of Information in Medicine (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Shipra Das
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Immunology 434
- Oncology 503
- Cancer Research 270
- Molecular Biology 994
- Immunology and Allergy 26
Countries citing papers authored by Shipra Das
This map shows the geographic impact of Shipra 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 Shipra Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipra Das more than expected).
Fields of papers citing papers by Shipra Das
This network shows the impact of papers produced by Shipra 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 Shipra Das. The network helps show where Shipra Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipra 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 336 | |
| 2 | 2020 | 264 | |
| 3 | 2015 | 263 | |
| 4 | 2014 | 217 | |
| 5 | 2012 | 163 | |
| 6 | 2013 | 93 | |
| 7 | 2017 | 76 | |
| 8 | 2019 | 73 | |
| 9 | 2019 | 62 | |
| 10 | 2023 | 38 | |
| 11 | 2015 | 34 | |
| 12 | 1994 | 21 | |
| 13 | 2024 | 21 | |
| 14 | 2012 | 8 | |
| 15 | 2002 | 7 | |
| 16 | 2022 | 1 | |
| 17 | 2018 | 0 |
About Shipra Das
Shipra Das is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Economics and Econometrics, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers), Nanowire Synthesis and Applications (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology (434 citations), Oncology (503 citations), Cancer Research (270 citations), Molecular Biology (994 citations) and Immunology and Allergy (26 citations). Shipra Das has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Adrian R. Krainer, Dafna Bar‐Sagi, Martin Akerman, Olga Anczuków, Adrian R. Krainer, Beny Shapiro, Emily Vucic, Sandra Vogt, Senthil K. Muthuswamy and Avi Z. Rosenberg. Their work appears in journals such as Cell Reports, Molecular Cell, ESMO Open, Methods of Information in Medicine and Cancer Discovery.
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.