John C. Cox
Impact in
- Parasitology top 1%
- Parasitic Infections and Diagnostics
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
-
- Dermatological diseases and infestations 7
- Co-authors
- A.R. Coulter (6 shared papers)Fischer Black (1 shared paper)W. John Ingledew (4 shared papers)Debbie Drane (12 shared papers)Howard Gest (4 shared papers)David H. Boxer (1 shared paper)Anders Sjölander (1 shared paper)Ian Barr (1 shared paper)
- Journals
- Vaccine (8 papers)Journal of Immunological Methods (6 papers)Journal of Bacteriology (4 papers)Research in Veterinary Science (4 papers)Laboratory Animals (4 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
John C. Cox
100 papers receiving 3.5k citations
John C. Cox's Hit Papers
Peers
Comparison fields: 5 of 170
- Parasitology 374
- Immunology 824
- Finance 392
- Microbiology 198
- Virology 124
Countries citing papers authored by John C. Cox
This map shows the geographic impact of John C. Cox'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 John C. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Cox more than expected).
Fields of papers citing papers by John C. Cox
This network shows the impact of papers produced by John C. Cox. 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 John C. Cox. The network helps show where John C. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Cox, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adjuvants—a classification and review of their modes of action Hit paper breakdown → | 1997 | 564 |
| 2 | 1976 | 359 | |
| 3 | 1998 | 153 | |
| 4 | 1992 | 131 | |
| 5 | 1978 | 122 | |
| 6 | 2007 | 115 | |
| 7 | 1986 | 106 | |
| 8 | 1979 | 102 | |
| 9 | 1977 | 102 | |
| 10 | 2003 | 95 | |
| 11 | 1982 | 94 | |
| 12 | 1979 | 92 | |
| 13 | 1991 | 90 | |
| 14 | 1981 | 83 | |
| 15 | 2001 | 83 | |
| 16 | 1983 | 78 | |
| 17 | 1986 | 72 | |
| 18 | 1980 | 61 | |
| 19 | 1978 | 57 | |
| 20 | 1995 | 57 |
About John C. Cox
John C. Cox is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Parasitology, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (10 papers), Immunotherapy and Immune Responses (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Dermatological diseases and infestations (7 papers), Metal Extraction and Bioleaching (6 papers), Diphtheria, Corynebacterium, and Tetanus (5 papers), T-cell and B-cell Immunology (5 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Parasitology (374 citations), Immunology (824 citations), Finance (392 citations), Microbiology (198 citations) and Virology (124 citations). John C. Cox has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include A.R. Coulter, Fischer Black, W. John Ingledew, Debbie Drane, Howard Gest, David H. Boxer, Anders Sjölander, Ian Barr, John Cobley and Michael T. Madigan. Their work appears in journals such as Vaccine, Journal of Immunological Methods, Journal of Bacteriology, Research in Veterinary Science and Laboratory Animals.
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.