U.A. Ramagopal
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 25
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 10
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- Protein Structure and Dynamics 10
- Biochemical and Molecular Research 7
- RNA and protein synthesis mechanisms 7
- Chemical Synthesis and Analysis 6
- Co-authors
- Steven C. AlmoStanley G. NathensonJ.B. BonannoJ.M. SauderS.K. BurleyQingrong YanP.G. LeimanJohn J. Mekalanos
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Structure (7 papers)Biochemistry (4 papers)Immunity (2 papers)Protein Science (2 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
U.A. Ramagopal
53 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Endocrinology 411
- Immunology 1.0k
- Molecular Medicine 175
- Oncology 628
- Molecular Biology 1.1k
Countries citing papers authored by U.A. Ramagopal
This map shows the geographic impact of U.A. Ramagopal'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 U.A. Ramagopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U.A. Ramagopal more than expected).
Fields of papers citing papers by U.A. Ramagopal
This network shows the impact of papers produced by U.A. Ramagopal. 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 U.A. Ramagopal. The network helps show where U.A. Ramagopal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside U.A. Ramagopal, 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 | 2024 | 1 | |
| 2 | 2021 | 20 | |
| 3 | 2019 | 31 | |
| 4 | 2018 | 1 | |
| 5 | 2018 | 8 | |
| 6 | 2017 | 5 | |
| 7 | 2016 | 15 | |
| 8 | 2014 | 93 | |
| 9 | 2013 | 23 | |
| 10 | 2013 | 21 | |
| 11 | 2011 | 18 | |
| 12 | 2011 | 54 | |
| 13 | 2010 | 3 | |
| 14 | Type VI secretion apparatus and phage tail-associated protein complexes share a common evolutionary origin Hit paper breakdown → | 2009 | 501 |
| 15 | 2007 | 19 | |
| 16 | 2006 | 63 | |
| 17 | 2005 | 34 | |
| 18 | 2004 | 26 | |
| 19 | 2004 | 41 | |
| 20 | 2003 | 25 |
About U.A. Ramagopal
U.A. Ramagopal is a scholar working on Immunology, Molecular Biology, Materials Chemistry, Biotechnology and Physiology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Enzyme Structure and Function (13 papers), T-cell and B-cell Immunology (11 papers), Protein Structure and Dynamics (10 papers), Immunotherapy and Immune Responses (10 papers), Biochemical and Molecular Research (7 papers), RNA and protein synthesis mechanisms (7 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Endocrinology (411 citations), Immunology (1.0k citations), Molecular Medicine (175 citations), Oncology (628 citations) and Molecular Biology (1.1k citations). U.A. Ramagopal has collaborated with scholars based in United States, India and France. Frequent co-authors include Steven C. Almo, Stanley G. Nathenson, J.B. Bonanno, J.M. Sauder, S.K. Burley, Qingrong Yan, P.G. Leiman, John J. Mekalanos, Marek Basler and Stefan Pukatzki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Structure, Biochemistry, Immunity and Protein Science.
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.