William Lees
Impact in
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- HIV Research and Treatment
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 4
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Adrian J. Shepherd (15 shared papers)David S. Moss (7 shared papers)Gur Yaari (18 shared papers)Corey T. Watson (17 shared papers)Andrew M. Collins (11 shared papers)Ayelet Peres (13 shared papers)Mats Ohlin (8 shared papers)Pazit Polak (6 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Nucleic Acids Research (4 papers)Bioinformatics (3 papers)Current Opinion in Systems Biology (2 papers)Journal of Virology (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
William Lees
37 papers receiving 614 citations
William Lees's Hit Papers
Peers
Comparison fields: 5 of 31
- Virology 18
- Radiology, Nuclear Medicine and Imaging 57
- Hepatology 23
- Immunology 38
- Epidemiology 56
Countries citing papers authored by William Lees
This map shows the geographic impact of William Lees'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 William Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lees more than expected).
Fields of papers citing papers by William Lees
This network shows the impact of papers produced by William Lees. 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 William Lees. The network helps show where William Lees may publish in the future.
Co-authors
The 25 scholars most cited alongside William Lees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complete sequencing of ape genomes Hit paper breakdown → | 2025 | 65 |
| 2 | 2019 | 51 | |
| 3 | 2019 | 46 | |
| 4 | 2010 | 44 | |
| 5 | 2019 | 44 | |
| 6 | 2021 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2022 | 33 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2024 | 18 | |
| 13 | 2024 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2014 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2011 | 9 |
About William Lees
William Lees is a scholar working on Radiology, Nuclear Medicine and Imaging, Virology, Immunology, Epidemiology and Genetics, having authored 39 papers that have together received 624 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers), Genetic Associations and Epidemiology (3 papers), HIV Research and Treatment (2 papers), Hepatitis C virus research (1 paper), Genomics and Phylogenetic Studies (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Virology (18 citations), Radiology, Nuclear Medicine and Imaging (57 citations), Hepatology (23 citations), Immunology (38 citations) and Epidemiology (56 citations). William Lees has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Adrian J. Shepherd, David S. Moss, Gur Yaari, Corey T. Watson, Andrew M. Collins, Ayelet Peres, Mats Ohlin, Pazit Polak, Oscar L. Rodriguez and Martin Corcoran. Their work appears in journals such as Frontiers in Immunology, Nucleic Acids Research, Bioinformatics, Current Opinion in Systems Biology and Journal of Virology.
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.