David R. Hillyard
- Molecular Biology top 2%
- Epidemiology top 2%
- Infectious Diseases top 2%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 5%
- Co-authors
- Baldomero M. OliveraLourdes J. CruzKaren C. CarrollMaren WatkinsScott R. WoodwardWilliam R. GrayJulita S. ImperialEdward W. Taggart
- Topics
- Nicotinic Acetylcholine Receptors Study (20 papers)HIV/AIDS drug development and treatment (15 papers)Hepatitis C virus research (15 papers)
- Partner nations
- United StatesPhilippinesCanada
In The Last Decade
David R. Hillyard
110 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 3.3k
- Epidemiology 1.1k
- Infectious Diseases 913
- Cellular and Molecular Neuroscience 824
- Genetics 494
Countries citing papers authored by David R. Hillyard
This map shows the geographic impact of David R. Hillyard'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 David R. Hillyard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Hillyard more than expected).
Fields of papers citing papers by David R. Hillyard
This network shows the impact of papers produced by David R. Hillyard. 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 David R. Hillyard. The network helps show where David R. Hillyard may publish in the future.
Co-authorship network of co-authors of David R. Hillyard
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Hillyard. A scholar is included among the top collaborators of David R. Hillyard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David R. Hillyard. David R. Hillyard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Genetic Conservation and Diversity of SARS‐CoV‐2 Envelope Gene Across Variants of Concernbreakdown → | 20 |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 106 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 55 | |
| 11 | 39 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 174 | |
| 17 | 79 | |
| 18 | 130 | |
| 19 | 47 | |
| 20 | 46 |
About David R. Hillyard
David R. Hillyard is a scholar working on Infectious Diseases, Virology and Hepatology, having authored 110 papers that have together received 5.4k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (20 papers), HIV/AIDS drug development and treatment (15 papers) and Hepatitis C virus research (15 papers). The work is most often cited by research in Infectious Diseases (913 citations), Molecular Biology (3.3k citations) and Cellular and Molecular Neuroscience (824 citations). David R. Hillyard has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Baldomero M. Olivera, Lourdes J. Cruz, Karen C. Carroll, Maren Watkins, Scott R. Woodward, William R. Gray, Julita S. Imperial, Edward W. Taggart, J. Michael McIntosh and Jean Rivier. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.