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 16
- Advanced biosensing and bioanalysis techniques 5
- vaccines and immunoinformatics approaches 4
- Co-authors
- Brian Wigdahl (38 shared papers)Michael R. Nonnemacher (36 shared papers)Haibao Tang (1 shared paper)Jeffrey M. Yunes (1 shared paper)Brent S. Pedersen (1 shared paper)Olga Botvinnik (1 shared paper)Christophe Dessimoz (1 shared paper)Aurélien Naldi (1 shared paper)
- Journals
- PLoS ONE (5 papers)Frontiers in Microbiology (4 papers)Scientific Reports (3 papers)Journal of NeuroVirology (2 papers)Current HIV Research (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Will Dampier
44 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Virology 327
- Business and International Management 63
- Molecular Biology 905
- Immunology 226
- Aging 18
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 47 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 | 724 |
| 2 | 2017 | 170 | |
| 3 | 2018 | 50 | |
| 4 | 2021 | 50 | |
| 5 | 2010 | 46 | |
| 6 | 2010 | 39 | |
| 7 | 2016 | 30 | |
| 8 | 2016 | 29 | |
| 9 | 2017 | 29 | |
| 10 | 2019 | 26 | |
| 11 | 2018 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2017 | 23 | |
| 15 | 2016 | 20 | |
| 16 | 2014 | 20 | |
| 17 | 2017 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2014 | 19 | |
| 20 | 2016 | 17 |
About Will Dampier
Will Dampier is a scholar working on Virology, Molecular Biology, Infectious Diseases, Immunology and Epidemiology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (30 papers), CRISPR and Genetic Engineering (16 papers), Mosquito-borne diseases and control (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Innovation and Socioeconomic Development (5 papers), HIV/AIDS Research and Interventions (5 papers), HIV/AIDS drug development and treatment (5 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Virology (327 citations), Business and International Management (63 citations), Molecular Biology (905 citations), Immunology (226 citations) and Aging (18 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, Jeffrey M. Yunes, Brent S. Pedersen, Olga Botvinnik, Christophe Dessimoz, Aurélien Naldi, Chris Mungall and Alex Warwick Vesztrocy. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Scientific Reports, Journal of NeuroVirology and Current HIV 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.