Stephen P. Goff

31.6k citations
300 papers · 25.7k indexed · 9 hit papers · h-index 87

Impact in

Papers in

Stephen P. Goff

297 papers receiving 24.8k citations

Hit Papers

Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir 2022 · 260 citations
2601979202619942010250500750

Peers

Stephen P. Goff
Comparison fields: 5 of 163
  • Virology 8.5k
  • Infectious Diseases 5.8k
  • Immunology 4.8k
  • Molecular Biology 15.2k
  • Genetics 4.7k
Replace Flossie Wong‐Staal with:
Flossie Wong‐Staal United States
Hilary Koprowski United States
Bryan R. Cullen United States
C A Rosen United States
Pamela J. Björkman United States
John M. Coffin United States
Hongkui Deng China
Robert W. Doms United States
Michel C. Nussenzweig United States
David Kabat United States
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Citations per field
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Flossie Wong‐Staal · 1×
Citations per year

Countries citing papers authored by Stephen P. Goff

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Goff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Goff. 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 P. Goff. The network helps show where Stephen P. Goff may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202312
3
Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir
Hit paper breakdown →
2022260
4 202110
5 201835
6 201837
7 201521
8 201351
9 201138
10 201038
11 200914
12 200646
13 2004209
14 200165
15 200060
16
Introduction of H. Robert Horvitz
19993
17 199922
18 199858
19 19899
20 198825

About Stephen P. Goff

Stephen P. Goff is a scholar working on Virology, Infectious Diseases, Immunology, Genetics and Molecular Biology, having authored 300 papers that have together received 25.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (150 papers), HIV/AIDS drug development and treatment (69 papers), Virus-based gene therapy research (63 papers), CRISPR and Genetic Engineering (43 papers), Monoclonal and Polyclonal Antibodies Research (40 papers), RNA and protein synthesis mechanisms (28 papers), RNA Research and Splicing (22 papers) and Bacteriophages and microbial interactions (21 papers). The work is most often cited by research in Virology (8.5k citations), Infectious Diseases (5.8k citations), Immunology (4.8k citations), Molecular Biology (15.2k citations) and Genetics (4.7k citations). Stephen P. Goff has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jeremy Luban, David Baltimore, A Bank, Dina Markowitz, Daniel Wolf, John Colicelli, Guangxia Gao, Ganjam V. Kalpana, Pamela L. Schwartzberg and Robert D. Berkowitz. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Cell, Virology and Molecular and Cellular Biology.

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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