Steve G Self

5.3k citations
71 papers · 4.3k · 1 hit paper · h-index 34

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 8
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 5

Steve G Self

69 papers receiving 4.2k citations

Steve G Self's Hit Papers

Tiered Categorization of a Diverse Panel of HIV-1 Env Pseudoviruses for Assessment of Neutralizing Antibodies 2009 · 559 citations
5590+5+11Years since publication100200300400500

Peers

Steve G Self
Comparison fields: 5 of 124
  • Virology 2.4k
  • Immunology 1.3k
  • Infectious Diseases 1.0k
  • Statistics and Probability 383
  • Epidemiology 674
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Steve G Self relative to John Hural United States John Hural's profile →
Citations per field
00.5×2×4×6×7.2×
John Hural · 1×
Citations per year

Countries citing papers authored by Steve G Self

Since Specialization
Citations

This map shows the geographic impact of Steve G Self'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 Steve G Self with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve G Self more than expected).

Fields of papers citing papers by Steve G Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve G Self. 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 Steve G Self. The network helps show where Steve G Self may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve G Self, 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 Steve G Self Line = papers co-authored together Steve G Self links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tiered Categorization of a Diverse Panel of HIV-1 Env Pseudoviruses for Assessment of Neutralizing Antibodies
Hit paper breakdown →
2009559
2 2008447
3 2013263
4 2013213
5 2011197
6 2011197
7 1989176
8 2012169
9 2001129
10 2010113
11 2010104
12 199897
13 200689
14 199384
15 201182
16 200071
17 201667
18 201565
19 201864
20 202060

About Steve G Self

Steve G Self is a scholar working on Virology, Immunology, Infectious Diseases, Statistics and Probability and Hepatology, having authored 71 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (34 papers), Immune Cell Function and Interaction (8 papers), vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (8 papers), HIV/AIDS drug development and treatment (7 papers), Hepatitis C virus research (6 papers), Viral Infections and Immunology Research (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Virology (2.4k citations), Immunology (1.3k citations), Infectious Diseases (1.0k citations), Statistics and Probability (383 citations) and Epidemiology (674 citations). Steve G Self has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Yudi Pawitan, Blake Wood, David C. Montefiori, Peter B. Gilbert, William J. Huster, Ron Brookmeyer, Xuesong Yu, Michael S. Seaman, Bette Korber and John R. Mascola. Their work appears in journals such as Journal of Virology, PLoS ONE, The Journal of Infectious Diseases, Biometrics and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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