Paul H. Naylor
- Immunology top 5%
- Molecular Biology
- Epidemiology top 10%
- Cell Biology top 5%
- Virology top 2%
- Co-authors
- Allan L. GoldsteinTeresa L. K. LowGary B. ThurmanJohn E. McClureA L GoldsteinMilton G. MutchnickR. L. WalfordRichard Weindruch
- Topics
- Hepatitis C virus research (19 papers)Cellular Mechanics and Interactions (16 papers)Hepatitis B Virus Studies (12 papers)
- Cited by
- VirologyAgingImmunology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Paul H. Naylor
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Immunology 601
- Molecular Biology 542
- Epidemiology 322
- Cell Biology 292
- Virology 273
Countries citing papers authored by Paul H. Naylor
This map shows the geographic impact of Paul H. Naylor'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 Paul H. Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul H. Naylor more than expected).
Fields of papers citing papers by Paul H. Naylor
This network shows the impact of papers produced by Paul H. Naylor. 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 Paul H. Naylor. The network helps show where Paul H. Naylor may publish in the future.
Co-authorship network of co-authors of Paul H. Naylor
This figure shows the co-authorship network connecting the top 25 collaborators of Paul H. Naylor. A scholar is included among the top collaborators of Paul H. Naylor 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 Paul H. Naylor. Paul H. Naylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | Cytotoxic and humoral immune responses to HIV-1 p17 synthetic peptide HGP-30 in human volunteers | 1 |
| 12 | 10 | |
| 13 | 18 | |
| 14 | 44 | |
| 15 | 22 | |
| 16 | 24 | |
| 17 | Modulation of thymosin alpha 1 and thymosin beta 4 levels and peripheral blood mononuclear cell subsets during experimental rhinovirus colds. | 15 |
| 18 | Enzyme immunoassay measurement of thymosin beta 4 in human serum. | 16 |
| 19 | Thymosin alpha 1 levels in human seminal plasma and follicular fluid: implication in germ cell function. | 7 |
| 20 | 4 |
About Paul H. Naylor
Paul H. Naylor is a scholar working on Hepatology, Virology and Immunology, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Cellular Mechanics and Interactions (16 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Virology (273 citations), Aging (98 citations) and Immunology (601 citations). Paul H. Naylor has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Allan L. Goldstein, Teresa L. K. Low, Gary B. Thurman, John E. McClure, A L Goldstein, Milton G. Mutchnick, R. L. Walford, Richard Weindruch, Prem S. Sarin and Jeffrey L. Rossio. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.