Rupesh Dash
Impact in
- Biomaterials top 1%
- Silk-based biomaterials and applications
- Oncology top 2%
- CAR-T cell therapy research
Papers in
-
- Cell death mechanisms and regulation 10
- Cancer-related gene regulation 6
- RNA modifications and cancer 6
- RNA Interference and Gene Delivery 5
- Oncology 28
- CAR-T cell therapy research 10
- Cancer-related Molecular Pathways 6
- Co-authors
- Paul B. Fisher (48 shared papers)Subhas C. Kundu (7 shared papers)Devanand Sarkar (39 shared papers)Swadesh K. Das (24 shared papers)David L. Kaplan (2 shared papers)Maurizio Pellecchia (15 shared papers)Biraja C. Dash (1 shared paper)Belal Azab (17 shared papers)
- Journals
- Cancer Research (10 papers)Journal of Cellular Physiology (9 papers)Oncogene (4 papers)British Journal of Cancer (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Rupesh Dash
78 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 125
- Biomaterials 922
- Oncology 994
- Molecular Biology 2.1k
- Cancer Research 371
- Immunology 530
Countries citing papers authored by Rupesh Dash
This map shows the geographic impact of Rupesh Dash'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 Rupesh Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupesh Dash more than expected).
Fields of papers citing papers by Rupesh Dash
This network shows the impact of papers produced by Rupesh Dash. 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 Rupesh Dash. The network helps show where Rupesh Dash may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupesh Dash, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 357 | |
| 2 | 2010 | 332 | |
| 3 | 2011 | 236 | |
| 4 | 2012 | 222 | |
| 5 | 2008 | 183 | |
| 6 | 2017 | 177 | |
| 7 | 2009 | 139 | |
| 8 | 2011 | 138 | |
| 9 | 2008 | 136 | |
| 10 | 2020 | 119 | |
| 11 | 2011 | 109 | |
| 12 | 2010 | 104 | |
| 13 | 2010 | 103 | |
| 14 | 2007 | 99 | |
| 15 | 2011 | 95 | |
| 16 | 2010 | 93 | |
| 17 | 2010 | 90 | |
| 18 | 2010 | 90 | |
| 19 | 2010 | 88 | |
| 20 | 2006 | 85 |
About Rupesh Dash
Rupesh Dash is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Immunology, having authored 79 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Cell death mechanisms and regulation (10 papers), CAR-T cell therapy research (10 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Cancer-related Molecular Pathways (6 papers), Cancer-related gene regulation (6 papers), RNA modifications and cancer (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Biomaterials (922 citations), Oncology (994 citations), Molecular Biology (2.1k citations), Cancer Research (371 citations) and Immunology (530 citations). Rupesh Dash has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Paul B. Fisher, Subhas C. Kundu, Devanand Sarkar, Swadesh K. Das, David L. Kaplan, Maurizio Pellecchia, Biraja C. Dash, Belal Azab, Mahitosh Mandal and Luni Emdad. Their work appears in journals such as Cancer Research, Journal of Cellular Physiology, Oncogene, British Journal of Cancer and Scientific 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.