Wayne A. Hendrickson
- Virology top 0.05%
- HIV Research and Treatment 37
- Immunology top 0.2%
- Immune Cell Function and Interaction 21
- Molecular Biology top 0.05%
- Protein Structure and Dynamics 79
- RNA and protein synthesis mechanisms 24
- Glycosylation and Glycoproteins Research 22
- Cell Biology top 0.1%
- Hemoglobin structure and function 29
- Structural Biology top 0.5%
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- Enzyme Structure and Function 97
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- Monoclonal and Polyclonal Antibodies Research 32
- Co-authors
- Peter D. KwongJoseph SodroskiRichard T. WyattRaymond W. SweetJames E. RobinsonKurt DrickamerWilliam I. WeisStevan R. Hubbard
- Cited by
- VirologyImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (33 papers)Structure (22 papers)Nature (20 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Wayne A. Hendrickson
297 papers receiving 31.7k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Virology 6.1k
- Immunology 6.5k
- Molecular Biology 20.0k
- Cell Biology 3.9k
- Structural Biology 306
Countries citing papers authored by Wayne A. Hendrickson
This map shows the geographic impact of Wayne A. Hendrickson'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 Wayne A. Hendrickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne A. Hendrickson more than expected).
Fields of papers citing papers by Wayne A. Hendrickson
This network shows the impact of papers produced by Wayne A. Hendrickson. 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 Wayne A. Hendrickson. The network helps show where Wayne A. Hendrickson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wayne A. Hendrickson, 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 | 2023 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 47 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 12 | |
| 13 | 2018 | 27 | |
| 14 | 2015 | 75 | |
| 15 | 2014 | 81 | |
| 16 | 2012 | 129 | |
| 17 | 2009 | 127 | |
| 18 | 2005 | 96 | |
| 19 | 2004 | 213 | |
| 20 | Stereochemically restrained refinement of macromolecular structuresbreakdown → | 1985 | 560 |
About Wayne A. Hendrickson
Wayne A. Hendrickson is a scholar working on Virology, Cell Biology and Molecular Biology, having authored 300 papers that have together received 32.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (97 papers), Protein Structure and Dynamics (79 papers), HIV Research and Treatment (37 papers), Monoclonal and Polyclonal Antibodies Research (32 papers), Hemoglobin structure and function (29 papers), RNA and protein synthesis mechanisms (24 papers), Glycosylation and Glycoproteins Research (22 papers) and Immune Cell Function and Interaction (21 papers). The work is most often cited by research in Virology (6.1k citations), Immunology (6.5k citations) and Molecular Biology (20.0k citations). Wayne A. Hendrickson has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Peter D. Kwong, Joseph Sodroski, Richard T. Wyatt, Raymond W. Sweet, James E. Robinson, Kurt Drickamer, William I. Weis, Stevan R. Hubbard, Craig M. Ogata and Lei Wei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Structure, Nature, Science and Journal of Biological Chemistry.
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.