Ganes C. Sen
Impact in
- Immunology top 0.05%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
Papers in
- Immunology 131
- interferon and immune responses 113
- Immune Response and Inflammation 31
-
- RNA regulation and disease 60
- RNA and protein synthesis mechanisms 38
- RNA Research and Splicing 31
- Co-authors
- Volker FensterlPéter LengyelSaumendra N. SarkarSaurabh ChattopadhyayGeorge R. StarkJyotirmoy KusariKristi L. PetersShoudong Li
- Journals
- Journal of Biological Chemistry (47 papers)Journal of Virology (37 papers)Proceedings of the National Academy of Sciences (17 papers)Journal of Interferon & Cytokine Research (12 papers)Virology (11 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Ganes C. Sen
241 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Immunology 9.7k
- Infectious Diseases 2.6k
- Virology 637
- Oncology 3.1k
- Molecular Biology 7.6k
Countries citing papers authored by Ganes C. Sen
This map shows the geographic impact of Ganes C. Sen'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 Ganes C. Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganes C. Sen more than expected).
Fields of papers citing papers by Ganes C. Sen
This network shows the impact of papers produced by Ganes C. Sen. 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 Ganes C. Sen. The network helps show where Ganes C. Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ganes C. Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2021 | 13 | |
| 3 | 2020 | 20 | |
| 4 | 2020 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2018 | 50 | |
| 7 | 2013 | 62 | |
| 8 | 2013 | 6 | |
| 9 | 2012 | 89 | |
| 10 | Interferons at age 50: past, current and future impact on biomedicine Hit paper breakdown → | 2007 | 904 |
| 11 | 2006 | 55 | |
| 12 | 1998 | 50 | |
| 13 | 1994 | 48 | |
| 14 | 1993 | 44 | |
| 15 | 1992 | 4 | |
| 16 | 1990 | 6 | |
| 17 | 1989 | 5 | |
| 18 | 1988 | 42 | |
| 19 | 1987 | 8 | |
| 20 | 1986 | 1 |
About Ganes C. Sen
Ganes C. Sen is a scholar working on Immunology, Molecular Biology, Cancer Research, Infectious Diseases and Oncology, having authored 245 papers that have together received 17.4k indexed citations. Recurring topics across this work include interferon and immune responses (113 papers), RNA regulation and disease (60 papers), Cytokine Signaling Pathways and Interactions (40 papers), RNA and protein synthesis mechanisms (38 papers), RNA Research and Splicing (31 papers), Immune Response and Inflammation (31 papers), Viral Infections and Immunology Research (25 papers) and Virus-based gene therapy research (24 papers). The work is most often cited by research in Immunology (9.7k citations), Infectious Diseases (2.6k citations), Virology (637 citations), Oncology (3.1k citations) and Molecular Biology (7.6k citations). Ganes C. Sen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Volker Fensterl, Péter Lengyel, Saumendra N. Sarkar, Saurabh Chattopadhyay, George R. Stark, Jyotirmoy Kusari, Kristi L. Peters, Shoudong Li, Robert H. Silverman and Richard M. Ransohoff. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Interferon & Cytokine Research and Virology.
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.