Rita Das
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 5
- Oncology 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Robin Reed (8 shared papers)Ed Hurt (1 shared paper)Seiji Masuda (1 shared paper)Hong Cheng (1 shared paper)Zhaolan Zhou (1 shared paper)Steven P. Gygi (1 shared paper)Jiong Yu (1 shared paper)Adrian R. Krainer (1 shared paper)
- Journals
- Cancer Research (5 papers)Molecular Cell (2 papers)Genes & Development (2 papers)The FASEB Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyUnited Arab Emirates
In The Last Decade
Rita Das
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Genetics 213
- Molecular Biology 1.1k
- Immunology 203
- Neurology 134
- Oncology 208
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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 358 | |
| 2 | 2007 | 261 | |
| 3 | 2012 | 206 | |
| 4 | 2019 | 194 | |
| 5 | 2000 | 145 | |
| 6 | 2006 | 97 | |
| 7 | 1999 | 92 | |
| 8 | 1997 | 32 | |
| 9 | 2012 | 23 | |
| 10 | 2018 | 19 | |
| 11 | Identification of a novel Bcl-2 related gene, BRAG-1, in human glioma. | 1996 | 18 |
| 12 | 2010 | 13 | |
| 13 | Bilateral morning glory disc anomaly. | 2003 | 8 |
| 14 | 2020 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2003 | 2 | |
| 19 | The Art and Science of Assisted Reproductive Techniques | 2017 | 2 |
| 20 | 2018 | 1 |
About Rita Das
Rita Das is a scholar working on Molecular Biology, Oncology, Immunology, Reproductive Medicine and Cancer Research, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (5 papers), Reproductive Health and Technologies (3 papers), HER2/EGFR in Cancer Research (3 papers), Intraocular Surgery and Lenses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Genetics (213 citations), Molecular Biology (1.1k citations), Immunology (203 citations), Neurology (134 citations) and Oncology (208 citations). Rita Das has collaborated with scholars based in United States, Germany and United Arab Emirates. Frequent co-authors include Robin Reed, Ed Hurt, Seiji Masuda, Hong Cheng, Zhaolan Zhou, Steven P. Gygi, Jiong Yu, Adrian R. Krainer, Melanie P. Gygi and Zuo‐Feng Zhang. Their work appears in journals such as Cancer Research, Molecular Cell, Genes & Development, 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.