Stephen D. Schmidt

22.7k citations
45 papers · 2.2k · h-index 25

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

    • HIV Research and Treatment 34
    • Immune Cell Function and Interaction 22
    • T-cell and B-cell Immunology 9

Stephen D. Schmidt

44 papers receiving 2.2k citations

Peers

Stephen D. Schmidt
Comparison fields: 5 of 72
  • Virology 1.8k
  • Immunology 1.1k
  • Infectious Diseases 734
  • Radiology, Nuclear Medicine and Imaging 619
  • Epidemiology 384
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Stephen D. Schmidt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen D. Schmidt Line = papers co-authored together Stephen D. Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016219
2 2012197
3 2011181
4 2014169
5 2010153
6 201796
7 199296
8 201295
9 201593
10 201571
11 201261
12 201558
13 201956
14 201255
15 201155
16 201248
17 201147
18 201347
19 201540
20 201139

About Stephen D. Schmidt

Stephen D. Schmidt is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (34 papers), Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (9 papers), HIV/AIDS drug development and treatment (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Herpesvirus Infections and Treatments (5 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Virology (1.8k citations), Immunology (1.1k citations), Infectious Diseases (734 citations), Radiology, Nuclear Medicine and Imaging (619 citations) and Epidemiology (384 citations). Stephen D. Schmidt has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include John R. Mascola, Peter D. Kwong, Xueling Wu, Amarendra Pegu, Mark K. Louder, Krisha McKee, Martha Nason, Yongping Yang, Tongqing Zhou and Sijy O’Dell. Their work appears in journals such as Journal of Virology, Science Translational Medicine, Proceedings of the National Academy of Sciences, Telecommunications Policy and Cancer Research.

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.

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