Scott F. Sieg
- Virology top 0.1%
- HIV Research and Treatment 68
- Immunology top 0.5%
- Immune Cell Function and Interaction 51
- T-cell and B-cell Immunology 21
- Immune Response and Inflammation 9
- Emergency Medicine top 0.5%
- HIV-related health complications and treatments 19
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities 10
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions 9
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- Cytomegalovirus and herpesvirus research 14
- Co-authors
- Michael M. LedermanBenigno RodríguezNicholas FunderburgWei JiangClifford V. HardingAaron WeinbergDavid R. KaplanZhimin Feng
- Cited by
- VirologyImmunologyEmergency Medicine
- Journals
- Proceedings of the National Academy of Sciences (3 papers)JAMA (1 paper)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesSouth AfricaSaudi Arabia
In The Last Decade
Scott F. Sieg
105 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Virology 2.7k
- Immunology 2.6k
- Emergency Medicine 1.1k
- Microbiology 632
- Infectious Diseases 1.4k
Countries citing papers authored by Scott F. Sieg
This map shows the geographic impact of Scott F. Sieg'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 Scott F. Sieg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott F. Sieg more than expected).
Fields of papers citing papers by Scott F. Sieg
This network shows the impact of papers produced by Scott F. Sieg. 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 Scott F. Sieg. The network helps show where Scott F. Sieg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Scott F. Sieg, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 67 | |
| 8 | 2016 | 20 | |
| 9 | 2012 | 33 | |
| 10 | 2011 | 122 | |
| 11 | 2011 | 25 | |
| 12 | 2011 | 48 | |
| 13 | 2010 | 35 | |
| 14 | Plasma Levels of Bacterial DNA Correlate with Immune Activation and the Magnitude of Immune Restoration in Persons with Antiretroviral‐Treated HIV Infectionbreakdown → | 2009 | 463 |
| 15 | 2007 | 302 | |
| 16 | 2007 | 25 | |
| 17 | 2007 | 124 | |
| 18 | 2006 | 222 | |
| 19 | 2004 | 22 | |
| 20 | 2003 | 17 |
About Scott F. Sieg
Scott F. Sieg is a scholar working on Virology, Immunology and Emergency Medicine, having authored 111 papers that have together received 5.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (68 papers), Immune Cell Function and Interaction (51 papers), T-cell and B-cell Immunology (21 papers), HIV-related health complications and treatments (19 papers), Cytomegalovirus and herpesvirus research (14 papers), Antimicrobial Peptides and Activities (10 papers), HIV/AIDS Research and Interventions (9 papers) and Immune Response and Inflammation (9 papers). The work is most often cited by research in Virology (2.7k citations), Immunology (2.6k citations) and Emergency Medicine (1.1k citations). Scott F. Sieg has collaborated with scholars based in United States, South Africa and Saudi Arabia. Frequent co-authors include Michael M. Lederman, Benigno Rodríguez, Nicholas Funderburg, Wei Jiang, Clifford V. Harding, Aaron Weinberg, David R. Kaplan, Zhimin Feng, Douglas A. Bazdar and Robert Asaad. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.
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.