Will Dampier
Impact in
- Virology top 2%
- HIV Research and Treatment
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
Papers in
- Virology 26
- HIV Research and Treatment 26
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- CRISPR and Genetic Engineering 14
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Co-authors
- Brian L. Wigdahl (39 shared papers)Michael R. Nonnemacher (37 shared papers)D. V. Klopfenstein (2 shared papers)Christophe Dessimoz (1 shared paper)Aurélien Naldi (1 shared paper)Haibao Tang (1 shared paper)Patrick Flick (1 shared paper)Brent S. Pedersen (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 StatesChinaUnited Kingdom
In The Last Decade
Will Dampier
47 papers receiving 1.8k citations
Will Dampier's Hit Papers
Peers
Comparison fields: 5 of 116
- Virology 299
- Molecular Biology 693
- Rehabilitation 62
- Immunology 124
- Plant Science 251
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 49 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 | 854 |
| 2 | 2017 | 182 | |
| 3 | 2021 | 59 | |
| 4 | 2018 | 54 | |
| 5 | 2010 | 52 | |
| 6 | 2010 | 42 | |
| 7 | 2016 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2017 | 30 | |
| 11 | 2018 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2014 | 21 | |
| 18 | 2014 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2016 | 18 |
About Will Dampier
Will Dampier is a scholar working on Virology, Molecular Biology, Rehabilitation, Neurology and Immunology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (26 papers), CRISPR and Genetic Engineering (14 papers), Wound Healing and Treatments (3 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Virus-based gene therapy research (2 papers), HIV, Drug Use, Sexual Risk (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Virology (299 citations), Molecular Biology (693 citations), Rehabilitation (62 citations), Immunology (124 citations) and Plant Science (251 citations). Will Dampier has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Brian L. Wigdahl, Michael R. Nonnemacher, D. V. Klopfenstein, Christophe Dessimoz, Aurélien Naldi, Haibao Tang, Patrick Flick, Brent S. Pedersen, Jeffrey M. Yunes and Fidel Ramírez. 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.