Supriyo De
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 2%
Papers in
-
- RNA Research and Splicing 21
- Circular RNAs in diseases 16
- RNA modifications and cancer 15
-
- MicroRNA in disease regulation 18
- Cancer-related molecular mechanisms research 17
- Co-authors
- Myriam Gorospe (45 shared papers)Kotb Abdelmohsen (30 shared papers)Amaresh C. Panda (9 shared papers)Ioannis Grammatikakis (9 shared papers)Dawood B. Dudekula (6 shared papers)Jennifer L. Martindale (28 shared papers)Kevin G. Becker (24 shared papers)Rachel Munk (24 shared papers)
- Journals
- Nucleic Acids Research (19 papers)Aging Cell (6 papers)Frontiers in Immunology (5 papers)Molecular and Cellular Biology (4 papers)Molecular Cell (4 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Supriyo De
91 papers receiving 5.9k citations
Supriyo De's Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 3.3k
- Aging 120
- Molecular Biology 4.6k
- Immunology 421
- Physiology 469
Countries citing papers authored by Supriyo De
This map shows the geographic impact of Supriyo De'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 Supriyo De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriyo De more than expected).
Fields of papers citing papers by Supriyo De
This network shows the impact of papers produced by Supriyo De. 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 Supriyo De. The network helps show where Supriyo De may publish in the future.
Co-authors
The 25 scholars most cited alongside Supriyo De, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CircInteractome: A web tool for exploring circular RNAs and their interacting proteins and microRNAs Hit paper breakdown → | 2015 | 965 |
| 2 | LincRNA-p21 Suppresses Target mRNA Translation Hit paper breakdown → | 2012 | 823 |
| 3 | Identification of HuR target circular RNAs uncovers suppression of PABPN1 translation by CircPABPN1 Hit paper breakdown → | 2017 | 674 |
| 4 | 2013 | 270 | |
| 5 | 2019 | 254 | |
| 6 | 2016 | 209 | |
| 7 | 2016 | 190 | |
| 8 | 2013 | 172 | |
| 9 | 2017 | 160 | |
| 10 | 2016 | 149 | |
| 11 | 2010 | 115 | |
| 12 | 2015 | 101 | |
| 13 | 2020 | 79 | |
| 14 | 2021 | 78 | |
| 15 | 2022 | 71 | |
| 16 | 2020 | 67 | |
| 17 | 2015 | 62 | |
| 18 | 2020 | 56 | |
| 19 | 2016 | 55 | |
| 20 | 2016 | 53 |
About Supriyo De
Supriyo De is a scholar working on Molecular Biology, Cancer Research, Immunology, Physiology and Health, Toxicology and Mutagenesis, having authored 96 papers that have together received 5.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (21 papers), MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (17 papers), Circular RNAs in diseases (16 papers), RNA modifications and cancer (15 papers), Immune Cell Function and Interaction (10 papers), Telomeres, Telomerase, and Senescence (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Cancer Research (3.3k citations), Aging (120 citations), Molecular Biology (4.6k citations), Immunology (421 citations) and Physiology (469 citations). Supriyo De has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Myriam Gorospe, Kotb Abdelmohsen, Amaresh C. Panda, Ioannis Grammatikakis, Dawood B. Dudekula, Jennifer L. Martindale, Kevin G. Becker, Rachel Munk, Xiaoling Yang and Kyoung Mi Kim. Their work appears in journals such as Nucleic Acids Research, Aging Cell, Frontiers in Immunology, Molecular and Cellular Biology and Molecular Cell.
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.