Rupesh Dash
Impact in
- Biomaterials top 1%
- Silk-based biomaterials and applications
- Nanoparticle-Based Drug Delivery
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 17
- Cytokine Signaling Pathways and Interactions 6
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- Cell death mechanisms and regulation 14
- Co-authors
- Paul B. Fisher (46 shared papers)Subhas Chandra Kundu (7 shared papers)Devanand Sarkar (39 shared papers)Swadesh Kumar Das (24 shared papers)David Lee Kaplan (2 shared papers)Paul Dent (23 shared papers)Maurizio Pellecchia (14 shared papers)Biraja C. Dash (1 shared paper)
- Journals
- Journal of Cellular Physiology (9 papers)Cancer Research (8 papers)Oncogene (4 papers)British Journal of Cancer (3 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Rupesh Dash
80 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 115
- Biomaterials 824
- Oncology 654
- Biotechnology 173
- Molecular Biology 1.4k
- Otorhinolaryngology 119
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 362 | |
| 2 | 2010 | 342 | |
| 3 | 2011 | 242 | |
| 4 | 2012 | 227 | |
| 5 | 2008 | 186 | |
| 6 | 2017 | 185 | |
| 7 | 2011 | 172 | |
| 8 | 2009 | 154 | |
| 9 | 2011 | 142 | |
| 10 | 2008 | 137 | |
| 11 | 2020 | 123 | |
| 12 | 2011 | 111 | |
| 13 | 2010 | 107 | |
| 14 | 2010 | 106 | |
| 15 | 2007 | 100 | |
| 16 | 2011 | 98 | |
| 17 | 2010 | 96 | |
| 18 | 2010 | 94 | |
| 19 | 2010 | 92 | |
| 20 | 2010 | 88 |
About Rupesh Dash
Rupesh Dash is a scholar working on Oncology, Molecular Biology, Otorhinolaryngology, Biotechnology and Biomaterials, having authored 81 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), Virus-based gene therapy research (10 papers), Head and Neck Cancer Studies (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Cancer Research and Treatments (6 papers), Silk-based biomaterials and applications (5 papers), Glioma Diagnosis and Treatment (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Biomaterials (824 citations), Oncology (654 citations), Biotechnology (173 citations), Molecular Biology (1.4k citations) and Otorhinolaryngology (119 citations). Rupesh Dash has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Paul B. Fisher, Subhas Chandra Kundu, Devanand Sarkar, Swadesh Kumar Das, David Lee Kaplan, Paul Dent, Maurizio Pellecchia, Biraja C. Dash, Belal Azab and Mahitosh Mandal. Their work appears in journals such as Journal of Cellular Physiology, Cancer Research, 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.