Eric Cox
Impact in
- Endocrinology top 0.2%
- Escherichia coli research studies
- Microbiology top 0.2%
Papers in
-
- Escherichia coli research studies 97
-
- Viral gastroenteritis research and epidemiology 65
- Clostridium difficile and Clostridium perfringens research 32
- Co-authors
- Bruno Maria Goddeeris (119 shared papers)Bert Devriendt (76 shared papers)Daisy C.G. Vanrompay (47 shared papers)Frank Verdonck (42 shared papers)Veerle Snoeck (13 shared papers)Edith Stuyven (14 shared papers)Wim Van Den Broeck (16 shared papers)Vesna Melkebeek (24 shared papers)
- Journals
- Veterinary Immunology and Immunopathology (39 papers)Veterinary Microbiology (29 papers)Vaccine (19 papers)Veterinary Research (14 papers)Frontiers in Immunology (9 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Eric Cox
317 papers receiving 9.1k citations
Eric Cox's Hit Papers
Peers
Comparison fields: 5 of 151
- Endocrinology 1.6k
- Microbiology 1.1k
- Animal Science and Zoology 1.2k
- Infectious Diseases 2.1k
- Parasitology 679
Countries citing papers authored by Eric Cox
This map shows the geographic impact of Eric 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 Eric Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Cox more than expected).
Fields of papers citing papers by Eric Cox
This network shows the impact of papers produced by Eric 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 Eric Cox. The network helps show where Eric Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric 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 325 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches Hit paper breakdown → | 2022 | 687 |
| 2 | 2003 | 446 | |
| 3 | 2020 | 220 | |
| 4 | 2009 | 179 | |
| 5 | 2006 | 169 | |
| 6 | 2005 | 163 | |
| 7 | 1997 | 154 | |
| 8 | 1999 | 129 | |
| 9 | 2005 | 111 | |
| 10 | 2006 | 110 | |
| 11 | 2009 | 108 | |
| 12 | 2018 | 108 | |
| 13 | 2013 | 106 | |
| 14 | 2019 | 100 | |
| 15 | 2013 | 95 | |
| 16 | 2000 | 93 | |
| 17 | 2012 | 89 | |
| 18 | 2010 | 88 | |
| 19 | 2012 | 85 | |
| 20 | 2009 | 77 |
About Eric Cox
Eric Cox is a scholar working on Endocrinology, Infectious Diseases, Microbiology, Animal Science and Zoology and Immunology, having authored 325 papers that have together received 9.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (97 papers), Viral gastroenteritis research and epidemiology (65 papers), Clostridium difficile and Clostridium perfringens research (32 papers), Microbial infections and disease research (27 papers), Immunotherapy and Immune Responses (24 papers), Reproductive tract infections research (21 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Toxoplasma gondii Research Studies (20 papers). The work is most often cited by research in Endocrinology (1.6k citations), Microbiology (1.1k citations), Animal Science and Zoology (1.2k citations), Infectious Diseases (2.1k citations) and Parasitology (679 citations). Eric Cox has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Bruno Maria Goddeeris, Bert Devriendt, Daisy C.G. Vanrompay, Frank Verdonck, Veerle Snoeck, Edith Stuyven, Wim Van Den Broeck, Vesna Melkebeek, Peter Bossier and Jean Paul Remon. Their work appears in journals such as Veterinary Immunology and Immunopathology, Veterinary Microbiology, Vaccine, Veterinary Research and Frontiers in Immunology.
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.