Subhayan Sur
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Ratna B. Ray (20 shared papers)Chinmay Kumar Panda (10 shared papers)Robert Steele (14 shared papers)Debolina Pal (8 shared papers)Anup Roy (5 shared papers)Hiroshi Nakanishi (4 shared papers)Xingyi Shi (1 shared paper)Ranjit Ray (4 shared papers)
- Journals
- Cancers (3 papers)Molecular Carcinogenesis (2 papers)Hepatology (2 papers)Cell Communication and Signaling (2 papers)Food and Chemical Toxicology (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Subhayan Sur
33 papers receiving 811 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 292
- Applied Microbiology and Biotechnology 21
- Biochemistry 53
- Molecular Biology 485
- Pathology and Forensic Medicine 93
Countries citing papers authored by Subhayan Sur
This map shows the geographic impact of Subhayan Sur'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 Subhayan Sur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhayan Sur more than expected).
Fields of papers citing papers by Subhayan Sur
This network shows the impact of papers produced by Subhayan Sur. 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 Subhayan Sur. The network helps show where Subhayan Sur may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhayan Sur, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2017 | 73 | |
| 3 | 2020 | 62 | |
| 4 | 2019 | 56 | |
| 5 | 2016 | 49 | |
| 6 | 2021 | 47 | |
| 7 | 2015 | 47 | |
| 8 | 2012 | 42 | |
| 9 | 2018 | 34 | |
| 10 | 2022 | 31 | |
| 11 | 2017 | 31 | |
| 12 | 2019 | 29 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2021 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2015 | 14 |
About Subhayan Sur
Subhayan Sur is a scholar working on Cancer Research, Applied Microbiology and Biotechnology, Hepatology, Molecular Biology and Toxicology, having authored 35 papers that have together received 821 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (6 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (4 papers), Tea Polyphenols and Effects (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Cancer Research (292 citations), Applied Microbiology and Biotechnology (21 citations), Biochemistry (53 citations), Molecular Biology (485 citations) and Pathology and Forensic Medicine (93 citations). Subhayan Sur has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Ratna B. Ray, Chinmay Kumar Panda, Robert Steele, Debolina Pal, Anup Roy, Hiroshi Nakanishi, Xingyi Shi, Ranjit Ray, David A. Ford and Suvra Mandal. Their work appears in journals such as Cancers, Molecular Carcinogenesis, Hepatology, Cell Communication and Signaling and Food and Chemical Toxicology.
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.