Ian B. Hogue
- Virology top 0.5%
- HIV Research and Treatment 8
- Modeling and Simulation top 0.5%
- Infectious Diseases top 1%
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- Mosquito-borne diseases and control 8
- Immunology top 5%
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 4
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- Herpesvirus Infections and Treatments 14
- Cytomegalovirus and herpesvirus research 8
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- Virus-based gene therapy research 3
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- Cellular transport and secretion 3
- Co-authors
- Denise E. KirschnerSimeone MarinoJ. Christian J. RayLynn W. EnquistOrkide Ö. KoyuncuAkira OnoVineela ChukkapalliVitaly Boyko
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesPolandItaly
In The Last Decade
Ian B. Hogue
32 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Virology 818
- Modeling and Simulation 604
- Infectious Diseases 1.0k
- Public Health, Environmental and Occupational Health 809
- Immunology 555
Countries citing papers authored by Ian B. Hogue
This map shows the geographic impact of Ian B. Hogue'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 Ian B. Hogue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian B. Hogue more than expected).
Fields of papers citing papers by Ian B. Hogue
This network shows the impact of papers produced by Ian B. Hogue. 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 Ian B. Hogue. The network helps show where Ian B. Hogue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian B. Hogue, 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 50 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 28 | |
| 8 | 2018 | 4 | |
| 9 | 2018 | 10 | |
| 10 | 2017 | 30 | |
| 11 | 2015 | 10 | |
| 12 | 2014 | 71 | |
| 13 | 2013 | 106 | |
| 14 | Virus Infections in the Nervous Systembreakdown → | 2013 | 429 |
| 15 | 2013 | 19 | |
| 16 | 2012 | 15 | |
| 17 | 2011 | 93 | |
| 18 | 2010 | 63 | |
| 19 | A methodology for performing global uncertainty and sensitivity analysis in systems biologybreakdown → | 2008 | 2072 |
| 20 | 2005 | 409 |
About Ian B. Hogue
Ian B. Hogue is a scholar working on Virology, Epidemiology and Biophysics, having authored 33 papers that have together received 4.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (14 papers), HIV Research and Treatment (8 papers), Mosquito-borne diseases and control (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Virology (818 citations), Modeling and Simulation (604 citations) and Infectious Diseases (1.0k citations). Ian B. Hogue has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Denise E. Kirschner, Simeone Marino, J. Christian J. Ray, Lynn W. Enquist, Orkide Ö. Koyuncu, Akira Ono, Vineela Chukkapalli, Vitaly Boyko, Jonathan R. Grover and Sarah Palmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.
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.