Jeffrey M. Riggs
- Immunology top 5%
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 5
- Infectious Diseases top 5%
- Viral Infections and Vectors 8
- Parvovirus B19 Infection Studies 2
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 3
- Epidemiology top 5%
- Virology and Viral Diseases 11
- Respiratory viral infections research 10
- Physiology top 10%
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Mario H. SkiadopoulosPeter L. CollinsBrian R. MurphySonja R. SurmanRoland KolbeckMiguel A. F. SanjuánJill HénaultJosephine M. McAuliffe
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Jeffrey M. Riggs
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Immunology 653
- Infectious Diseases 391
- Rheumatology 310
- Epidemiology 691
- Physiology 36
Countries citing papers authored by Jeffrey M. Riggs
This map shows the geographic impact of Jeffrey M. Riggs'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 Jeffrey M. Riggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Riggs more than expected).
Fields of papers citing papers by Jeffrey M. Riggs
This network shows the impact of papers produced by Jeffrey M. Riggs. 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 Jeffrey M. Riggs. The network helps show where Jeffrey M. Riggs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey M. Riggs, 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 | 2021 | 16 | |
| 2 | 2019 | 18 | |
| 3 | 2017 | 26 | |
| 4 | 2016 | 1 | |
| 5 | 2015 | 126 | |
| 6 | 2014 | 215 | |
| 7 | 2013 | 46 | |
| 8 | 2012 | 272 | |
| 9 | What Are You Reading? Gender Effects on Magazine Preferences | 2004 | 2 |
| 10 | 2004 | 26 | |
| 11 | 2004 | 37 | |
| 12 | 2004 | 148 | |
| 13 | 2003 | 1 | |
| 14 | 2002 | 38 | |
| 15 | 2002 | 43 | |
| 16 | 2002 | 46 | |
| 17 | 2002 | 44 | |
| 18 | 2002 | 32 | |
| 19 | 2000 | 52 | |
| 20 | 1999 | 37 |
About Jeffrey M. Riggs
Jeffrey M. Riggs is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virology and Viral Diseases (11 papers), Respiratory viral infections research (10 papers), Viral Infections and Vectors (8 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers), Systemic Lupus Erythematosus Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Parvovirus B19 Infection Studies (2 papers). The work is most often cited by research in Immunology (653 citations), Infectious Diseases (391 citations) and Rheumatology (310 citations). Jeffrey M. Riggs has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Mario H. Skiadopoulos, Peter L. Collins, Brian R. Murphy, Sonja R. Surman, Roland Kolbeck, Miguel A. F. Sanjuán, Jill Hénault, Josephine M. McAuliffe, Lorraine Clarke and Susan Gilfillan. Their work appears in journals such as Journal of Virology, Virus Genes, Virology, Lupus Science & Medicine and Scientific Reports.
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.