S.R. Martin
Impact in
- Virology top 5%
- HIV Research and Treatment
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Virology and Viral Diseases
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Biochemical and Structural Characterization 3
- Glycosylation and Glycoproteins Research 2
-
- Influenza Virus Research Studies 7
- Respiratory viral infections research 3
- Co-authors
- J.J. Skehel (9 shared papers)Don C. Wiley (4 shared papers)Peter M. Bayley (4 shared papers)Stephen A. Wharton (4 shared papers)Rob W. H. Ruigrok (4 shared papers)J White (1 shared paper)Michael D. Waterfield (1 shared paper)Ian A. Wilson (1 shared paper)
- Journals
- Journal of General Virology (3 papers)Biochemical Journal (2 papers)Virus Research (1 paper)Virology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
S.R. Martin
13 papers receiving 1.4k citations
S.R. Martin's Hit Papers
Peers
Comparison fields: 5 of 79
- Virology 143
- Epidemiology 893
- Infectious Diseases 241
- Molecular Biology 781
- Immunology 221
Countries citing papers authored by S.R. Martin
This map shows the geographic impact of S.R. Martin'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 S.R. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.R. Martin more than expected).
Fields of papers citing papers by S.R. Martin
This network shows the impact of papers produced by S.R. Martin. 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 S.R. Martin. The network helps show where S.R. Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside S.R. Martin, 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 | Changes in the conformation of influenza virus hemagglutinin at the pH optimum of virus-mediated membrane fusion. Hit paper breakdown → | 1982 | 604 |
| 2 | 1988 | 201 | |
| 3 | 1986 | 140 | |
| 4 | 1988 | 138 | |
| 5 | 2009 | 93 | |
| 6 | 1995 | 70 | |
| 7 | 2012 | 70 | |
| 8 | 1988 | 46 | |
| 9 | 1991 | 32 | |
| 10 | 2013 | 32 | |
| 11 | 2004 | 30 | |
| 12 | 1982 | 17 | |
| 13 | 2017 | 11 |
About S.R. Martin
S.R. Martin is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Immunology and Infectious Diseases, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Lipid Membrane Structure and Behavior (3 papers), Respiratory viral infections research (3 papers), Biochemical and Structural Characterization (3 papers), Glycosylation and Glycoproteins Research (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Virology (143 citations), Epidemiology (893 citations), Infectious Diseases (241 citations), Molecular Biology (781 citations) and Immunology (221 citations). S.R. Martin has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include J.J. Skehel, Don C. Wiley, Peter M. Bayley, Stephen A. Wharton, Rob W. H. Ruigrok, J White, Michael D. Waterfield, Ian A. Wilson, E.B. Brown and William I. Weis. Their work appears in journals such as Journal of General Virology, Biochemical Journal, Virus Research, Virology and Journal of Cell 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.