Rita Das
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA Research and Splicing 5
- PI3K/AKT/mTOR signaling in cancer 3
- Cell death mechanisms and regulation 1
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- NF-κB Signaling Pathways 1
- MicroRNA in disease regulation 1
- Co-authors
- Robin Reed (6 shared papers)Steven P. Gygi (2 shared papers)Zhaolan Zhou (1 shared paper)Adrian R. Krainer (1 shared paper)Jiong Yu (1 shared paper)Melanie P. Gygi (1 shared paper)Zuo-Feng Zhang (1 shared paper)Carter Van Waes (2 shared papers)
- Journals
- Molecular Cell (2 papers)JCI Insight (1 paper)Science Translational Medicine (1 paper)The FASEB Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Rita Das
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 598
- Oncology 205
- Neurology 118
- Genetics 55
- Cancer Research 70
Countries citing papers authored by Rita Das
This map shows the geographic impact of Rita 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 Rita Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Das more than expected).
Fields of papers citing papers by Rita Das
This network shows the impact of papers produced by Rita 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 Rita Das. The network helps show where Rita Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita 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 | 2007 | 266 | |
| 2 | 2015 | 266 | |
| 3 | 2012 | 214 | |
| 4 | 2019 | 212 | |
| 5 | 2000 | 140 | |
| 6 | 2013 | 106 | |
| 7 | 2017 | 89 | |
| 8 | 1999 | 88 | |
| 9 | 2019 | 66 | |
| 10 | 1997 | 34 | |
| 11 | 2012 | 25 | |
| 12 | 2018 | 21 | |
| 13 | Identification of a novel Bcl-2 related gene, BRAG-1, in human glioma. | 1996 | 19 |
| 14 | 2010 | 13 | |
| 15 | 2019 | 7 | |
| 16 | 2003 | 2 |
About Rita Das
Rita Das is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Neurology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Macrophage Migration Inhibitory Factor (1 paper), Cell death mechanisms and regulation (1 paper), NF-κB Signaling Pathways (1 paper), Immune cells in cancer (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (598 citations), Oncology (205 citations), Neurology (118 citations), Genetics (55 citations) and Cancer Research (70 citations). Rita Das has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Robin Reed, Steven P. Gygi, Zhaolan Zhou, Adrian R. Krainer, Jiong Yu, Melanie P. Gygi, Zuo-Feng Zhang, Carter Van Waes, Paúl E. Clavijo and Clint Tanner Allen. Their work appears in journals such as Molecular Cell, JCI Insight, Science Translational Medicine, The FASEB Journal and Cell Reports.
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.