Sean Proll
- Immunology top 0.5%
- interferon and immune responses 19
- Immune Response and Inflammation 10
- Virology top 1%
- HIV Research and Treatment 7
- Epidemiology top 1%
- Influenza Virus Research Studies 18
- Urinary Tract Infections Management 8
- Liver Disease Diagnosis and Treatment 7
- Infectious Diseases top 1%
- Hepatology top 2%
- Hepatitis C virus research 9
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- Reproductive tract infections research 18
- Co-authors
- Michael G. KatzeMary E. BrunkowBryan PaeperMarcus J. KorthMatthew J. ThomasTerrence M. TumpeyMark W. ApplebyFred Ramsdell
- Cited by
- ImmunologyVirologyEpidemiology
- Journals
- Journal of Virology (18 papers)PLoS Pathogens (8 papers)The Journal of Infectious Diseases (5 papers)
- Partner nations
- United StatesSouth AfricaJapan
In The Last Decade
Sean Proll
82 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 3.1k
- Virology 545
- Epidemiology 2.2k
- Infectious Diseases 1.1k
- Hepatology 429
Countries citing papers authored by Sean Proll
This map shows the geographic impact of Sean Proll'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 Sean Proll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Proll more than expected).
Fields of papers citing papers by Sean Proll
This network shows the impact of papers produced by Sean Proll. 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 Sean Proll. The network helps show where Sean Proll may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sean Proll, 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 | 2024 | 18 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 32 | |
| 7 | 2012 | 48 | |
| 8 | 2012 | 38 | |
| 9 | Temporal Proteome and Lipidome Profiles Reveal Hepatitis C Virus-Associated Reprogramming of Hepatocellular Metabolism and Bioenergeticsbreakdown → | 2010 | 331 |
| 10 | 2009 | 181 | |
| 11 | 2009 | 137 | |
| 12 | 2009 | 307 | |
| 13 | 2008 | 1 | |
| 14 | 2007 | 100 | |
| 15 | 2006 | 68 | |
| 16 | 2006 | 20 | |
| 17 | 2005 | 30 | |
| 18 | 2004 | 13 | |
| 19 | X-linked neonatal diabetes mellitus, enteropathy and endocrinopathy syndrome is the human equivalent of mouse scurfybreakdown → | 2001 | 1422 |
| 20 | 1996 | 30 |
About Sean Proll
Sean Proll is a scholar working on Microbiology, Virology and Immunology, having authored 82 papers that have together received 7.2k indexed citations. Recurring topics across this work include interferon and immune responses (19 papers), Influenza Virus Research Studies (18 papers), Reproductive tract infections research (18 papers), Immune Response and Inflammation (10 papers), Hepatitis C virus research (9 papers), Urinary Tract Infections Management (8 papers), HIV Research and Treatment (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Immunology (3.1k citations), Virology (545 citations) and Epidemiology (2.2k citations). Sean Proll has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include Michael G. Katze, Mary E. Brunkow, Bryan Paeper, Marcus J. Korth, Matthew J. Thomas, Terrence M. Tumpey, Mark W. Appleby, Fred Ramsdell, Jane Peake and Massimo Mazzella. Their work appears in journals such as Journal of Virology, PLoS Pathogens, The Journal of Infectious Diseases, Virology 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.