Kevin Wiehe
- Virology top 2%
- HIV Research and Treatment 21
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 4
- Immunology top 5%
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 8
- Molecular Biology top 5%
- Protein Structure and Dynamics 7
- vaccines and immunoinformatics approaches 7
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- Computational Drug Discovery Methods 4
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- Monoclonal and Polyclonal Antibodies Research 13
- Co-authors
- Zhiping WengBrian G. PierceHowook HwangThom VrevenBong‐Hyun KimJulian MintserisRobert J. AndersonBarton F. Haynes
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Kevin Wiehe
41 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Virology 425
- Infectious Diseases 637
- Immunology 637
- Molecular Biology 2.0k
- Computational Theory and Mathematics 414
Countries citing papers authored by Kevin Wiehe
This map shows the geographic impact of Kevin Wiehe'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 Kevin Wiehe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Wiehe more than expected).
Fields of papers citing papers by Kevin Wiehe
This network shows the impact of papers produced by Kevin Wiehe. 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 Kevin Wiehe. The network helps show where Kevin Wiehe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Wiehe, 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 | 2023 | 6 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 7 | |
| 5 | Strategies for HIV-1 vaccines that induce broadly neutralizing antibodiesbreakdown → | 2022 | 162 |
| 6 | Effect of natural mutations of SARS-CoV-2 on spike structure, conformation, and antigenicitybreakdown → | 2021 | 247 |
| 7 | 2021 | 4 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 61 | |
| 10 | 2020 | 74 | |
| 11 | 2019 | 6 | |
| 12 | Germline-targeting and Reverse Engineering to Elicit CH235.12 Lineage bNAbs | 2018 | 1 |
| 13 | 2018 | 16 | |
| 14 | 2017 | 8 | |
| 15 | 2015 | 13 | |
| 16 | 2014 | 58 | |
| 17 | 2014 | 8 | |
| 18 | 2011 | 6 | |
| 19 | 2005 | 235 | |
| 20 | 2002 | 10 |
About Kevin Wiehe
Kevin Wiehe is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), Immune Cell Function and Interaction (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (8 papers), Protein Structure and Dynamics (7 papers), vaccines and immunoinformatics approaches (7 papers), Computational Drug Discovery Methods (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Virology (425 citations), Infectious Diseases (637 citations) and Immunology (637 citations). Kevin Wiehe has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Zhiping Weng, Brian G. Pierce, Howook Hwang, Thom Vreven, Bong‐Hyun Kim, Julian Mintseris, Robert J. Anderson, Barton F. Haynes, Kevin O. Saunders and Justin Pollara. Their work appears in journals such as Science, Cell and Nucleic Acids Research.
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.