Jon W. Marsh
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 19
- HIV Research and Treatment 19
- Immunology 26
- Immune Cell Function and Interaction 11
- Toxin Mechanisms and Immunotoxins 9
- T-cell and B-cell Immunology 5
- Co-authors
- Yuntao Wu (7 shared papers)Jeffrey A. Schrager (3 shared papers)Donald F. Steiner (4 shared papers)S S Rhee (2 shared papers)Paul S. Quinn (1 shared paper)Howard S. Tager (1 shared paper)Shu Jin Chan (1 shared paper)Michael F. Nunn (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Journal of Virology (5 papers)The Journal of Immunology (3 papers)Current HIV Research (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Jon W. Marsh
45 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 95
- Virology 1.3k
- Immunology 848
- Infectious Diseases 605
- Molecular Biology 908
- Epidemiology 392
Countries citing papers authored by Jon W. Marsh
This map shows the geographic impact of Jon W. Marsh'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 Jon W. Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon W. Marsh more than expected).
Fields of papers citing papers by Jon W. Marsh
This network shows the impact of papers produced by Jon W. Marsh. 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 Jon W. Marsh. The network helps show where Jon W. Marsh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon W. Marsh, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 433 | |
| 2 | 2001 | 297 | |
| 3 | 2008 | 251 | |
| 4 | 1999 | 167 | |
| 5 | 1994 | 159 | |
| 6 | 1996 | 142 | |
| 7 | 2007 | 112 | |
| 8 | 2003 | 105 | |
| 9 | 1980 | 77 | |
| 10 | 2002 | 65 | |
| 11 | 2002 | 64 | |
| 12 | 2007 | 60 | |
| 13 | 1977 | 52 | |
| 14 | 2004 | 51 | |
| 15 | 1994 | 50 | |
| 16 | 1993 | 50 | |
| 17 | 1994 | 49 | |
| 18 | 2007 | 40 | |
| 19 | 1992 | 40 | |
| 20 | 1999 | 35 |
About Jon W. Marsh
Jon W. Marsh is a scholar working on Virology, Immunology, Biotechnology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (19 papers), Immune Cell Function and Interaction (11 papers), Toxin Mechanisms and Immunotoxins (9 papers), Transgenic Plants and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HIV/AIDS drug development and treatment (5 papers), Virus-based gene therapy research (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Virology (1.3k citations), Immunology (848 citations), Infectious Diseases (605 citations), Molecular Biology (908 citations) and Epidemiology (392 citations). Jon W. Marsh has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Yuntao Wu, Jeffrey A. Schrager, Donald F. Steiner, S S Rhee, Paul S. Quinn, Howard S. Tager, Shu Jin Chan, Michael F. Nunn, Margaret H. Beddall and Jeremy Kelly. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, The Journal of Immunology, Current HIV Research and Journal of Clinical Investigation.
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.