Jeff Boyle
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Statistics and Probability top 10%
- Benford’s Law and Fraud Detection
Papers in
-
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 2
-
- Analytic Number Theory Research 2
- Co-authors
- Eugene Maraskovsky (4 shared papers)Debbie P. Drane (4 shared papers)Charmaine Gittleson (1 shared paper)Gabrielle T. Belz (2 shared papers)Nicholas S. Wilson (2 shared papers)Neil C. Robson (1 shared paper)Nick S. Wilson (1 shared paper)Max M. Schnurr (1 shared paper)
- Journals
- Immunology and Cell Biology (3 papers)Vaccine (1 paper)Obstetrics and Gynecology (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Expert Review of Vaccines (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jeff Boyle
11 papers receiving 470 citations
Peers
Comparison fields: 5 of 82
- Immunology 271
- Statistics and Probability 53
- Obstetrics and Gynecology 32
- Virology 21
- Epidemiology 78
Countries citing papers authored by Jeff Boyle
This map shows the geographic impact of Jeff Boyle'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 Jeff Boyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Boyle more than expected).
Fields of papers citing papers by Jeff Boyle
This network shows the impact of papers produced by Jeff Boyle. 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 Jeff Boyle. The network helps show where Jeff Boyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Boyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 100 | |
| 2 | 2011 | 92 | |
| 3 | 2007 | 82 | |
| 4 | 2009 | 62 | |
| 5 | 2006 | 41 | |
| 6 | 1994 | 40 | |
| 7 | 1996 | 28 | |
| 8 | 1994 | 17 | |
| 9 | 1996 | 15 | |
| 10 | 2011 | 10 | |
| 11 | 1984 | 4 |
About Jeff Boyle
Jeff Boyle is a scholar working on Immunology, Algebra and Number Theory, Obstetrics and Gynecology, Theoretical Computer Science and Computational Theory and Mathematics, having authored 11 papers that have together received 491 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (2 papers), semigroups and automata theory (2 papers), Analytic Number Theory Research (2 papers), History and Theory of Mathematics (1 paper), RNA modifications and cancer (1 paper), Cardiovascular Function and Risk Factors (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (271 citations), Statistics and Probability (53 citations), Obstetrics and Gynecology (32 citations), Virology (21 citations) and Epidemiology (78 citations). Jeff Boyle has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Eugene Maraskovsky, Debbie P. Drane, Charmaine Gittleson, Gabrielle T. Belz, Nicholas S. Wilson, Neil C. Robson, Nick S. Wilson, Max M. Schnurr, Fiona Kupresanin and Shalin H. Naik. Their work appears in journals such as Immunology and Cell Biology, Vaccine, Obstetrics and Gynecology, Biochimica et Biophysica Acta (BBA) - General Subjects and Expert Review of Vaccines.
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.