Will Dampier
Impact in
- Virology top 2%
- HIV Research and Treatment
Papers in
- Virology 30
- HIV Research and Treatment 30
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- CRISPR and Genetic Engineering 15
- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Brian Wigdahl (39 shared papers)Michael R. Nonnemacher (37 shared papers)Haibao Tang (1 shared paper)Aurélien Naldi (1 shared paper)Liangsheng Zhang (1 shared paper)Fidel Ramírez (1 shared paper)Jeffrey M. Yunes (1 shared paper)Chris Mungall (1 shared paper)
- Journals
- PLoS ONE (5 papers)Frontiers in Microbiology (4 papers)Scientific Reports (3 papers)Current HIV Research (2 papers)Journal of NeuroVirology (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Will Dampier
46 papers receiving 1.6k citations
Will Dampier's Hit Papers
Peers
Comparison fields: 5 of 124
- Virology 313
- Business and International Management 50
- Molecular Biology 852
- Immunology 214
- Aging 16
Countries citing papers authored by Will Dampier
This map shows the geographic impact of Will Dampier'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 Will Dampier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Dampier more than expected).
Fields of papers citing papers by Will Dampier
This network shows the impact of papers produced by Will Dampier. 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 Will Dampier. The network helps show where Will Dampier may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Dampier, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GOATOOLS: A Python library for Gene Ontology analyses Hit paper breakdown → | 2018 | 765 |
| 2 | 2017 | 178 | |
| 3 | 2021 | 55 | |
| 4 | 2018 | 52 | |
| 5 | 2010 | 47 | |
| 6 | 2010 | 41 | |
| 7 | 2016 | 30 | |
| 8 | 2017 | 30 | |
| 9 | 2016 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2018 | 27 | |
| 12 | 2020 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2017 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 2014 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2016 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2016 | 18 |
About Will Dampier
Will Dampier is a scholar working on Virology, Molecular Biology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (30 papers), CRISPR and Genetic Engineering (15 papers), Mosquito-borne diseases and control (7 papers), HIV/AIDS Research and Interventions (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), HIV/AIDS drug development and treatment (4 papers), Innovation and Socioeconomic Development (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Virology (313 citations), Business and International Management (50 citations), Molecular Biology (852 citations), Immunology (214 citations) and Aging (16 citations). Will Dampier has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Brian Wigdahl, Michael R. Nonnemacher, Haibao Tang, Aurélien Naldi, Liangsheng Zhang, Fidel Ramírez, Jeffrey M. Yunes, Chris Mungall, Patrick Flick and Olga Botvinnik. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Scientific Reports, Current HIV Research and Journal of NeuroVirology.
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.