Stephen D. Schmidt
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 34
- HIV Research and Treatment 34
- Immunology 21
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 8
- Co-authors
- John R. Mascola (33 shared papers)Peter D. Kwong (11 shared papers)Xueling Wu (5 shared papers)Amarendra Pegu (7 shared papers)Krisha McKee (5 shared papers)Mark K. Louder (9 shared papers)Martha Nason (5 shared papers)Yongping Yang (5 shared papers)
- Journals
- Journal of Virology (17 papers)Proceedings of the National Academy of Sciences (3 papers)Science Translational Medicine (3 papers)Telecommunications Policy (2 papers)mBio (2 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Stephen D. Schmidt
45 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 73
- Virology 1.8k
- Immunology 994
- Infectious Diseases 646
- Radiology, Nuclear Medicine and Imaging 575
- Epidemiology 320
Countries citing papers authored by Stephen D. Schmidt
This map shows the geographic impact of Stephen D. Schmidt'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 Stephen D. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Schmidt more than expected).
Fields of papers citing papers by Stephen D. Schmidt
This network shows the impact of papers produced by Stephen D. Schmidt. 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 Stephen D. Schmidt. The network helps show where Stephen D. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen D. Schmidt, 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 | 2016 | 221 | |
| 2 | 2012 | 197 | |
| 3 | 2011 | 183 | |
| 4 | 2014 | 171 | |
| 5 | 2010 | 153 | |
| 6 | 2020 | 104 | |
| 7 | 2017 | 99 | |
| 8 | 2012 | 97 | |
| 9 | 1992 | 96 | |
| 10 | 2015 | 94 | |
| 11 | 2015 | 74 | |
| 12 | 2012 | 61 | |
| 13 | 2019 | 59 | |
| 14 | 2015 | 58 | |
| 15 | 2012 | 56 | |
| 16 | 2011 | 55 | |
| 17 | 2012 | 48 | |
| 18 | 2011 | 47 | |
| 19 | 2013 | 47 | |
| 20 | 2015 | 40 |
About Stephen D. Schmidt
Stephen D. Schmidt is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (34 papers), Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (8 papers), HIV/AIDS drug development and treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Herpesvirus Infections and Treatments (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Virology (1.8k citations), Immunology (994 citations), Infectious Diseases (646 citations), Radiology, Nuclear Medicine and Imaging (575 citations) and Epidemiology (320 citations). Stephen D. Schmidt has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include John R. Mascola, Peter D. Kwong, Xueling Wu, Amarendra Pegu, Krisha McKee, Mark K. Louder, Martha Nason, Yongping Yang, Sijy O’Dell and Tongqing Zhou. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Science Translational Medicine, Telecommunications Policy and mBio.
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.