Keith Redhead
Impact in
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
- Endocrinology top 2%
Papers in
- Microbiology 24
- Bacterial Infections and Vaccines 21
-
- Clostridium difficile and Clostridium perfringens research 9
- Co-authors
- Johanna Watkins (5 shared papers)Kingston H. G. Mills (4 shared papers)Amanda Barnard (4 shared papers)S.J.L. Wright (3 shared papers)Teresa Hill (4 shared papers)Magne Kaldhusdal (2 shared papers)Michael O’Donoghue (1 shared paper)Josemir W. Sander (1 shared paper)
- Journals
- Biologicals (7 papers)Microbiology (4 papers)Infection and Immunity (3 papers)Vaccine (3 papers)FEMS Microbiology Letters (10 papers)
- Partner nations
- United KingdomBelgiumNetherlands
In The Last Decade
Keith Redhead
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Microbiology 810
- Endocrinology 181
- Infectious Diseases 422
- Epidemiology 559
- Small Animals 132
Countries citing papers authored by Keith Redhead
This map shows the geographic impact of Keith Redhead'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 Keith Redhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Redhead more than expected).
Fields of papers citing papers by Keith Redhead
This network shows the impact of papers produced by Keith Redhead. 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 Keith Redhead. The network helps show where Keith Redhead may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Redhead, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 274 | |
| 2 | 1993 | 168 | |
| 3 | Assessing the psychosocial consequences of epilepsy: a community-based study. | 1999 | 153 |
| 4 | 1996 | 96 | |
| 5 | 2003 | 87 | |
| 6 | 2012 | 75 | |
| 7 | 1999 | 74 | |
| 8 | 1989 | 74 | |
| 9 | 2011 | 66 | |
| 10 | 1987 | 61 | |
| 11 | 1991 | 54 | |
| 12 | 2007 | 53 | |
| 13 | 2012 | 44 | |
| 14 | 1992 | 40 | |
| 15 | 2010 | 37 | |
| 16 | 1981 | 37 | |
| 17 | 1991 | 37 | |
| 18 | 1978 | 36 | |
| 19 | 2011 | 35 | |
| 20 | 1993 | 30 |
About Keith Redhead
Keith Redhead is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Endocrinology and Neurology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (21 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Diphtheria, Corynebacterium, and Tetanus (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Influenza Virus Research Studies (6 papers), Peripheral Neuropathies and Disorders (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Microbiology (810 citations), Endocrinology (181 citations), Infectious Diseases (422 citations), Epidemiology (559 citations) and Small Animals (132 citations). Keith Redhead has collaborated with scholars based in United Kingdom, Belgium and Netherlands. Frequent co-authors include Johanna Watkins, Kingston H. G. Mills, Amanda Barnard, S.J.L. Wright, Teresa Hill, Magne Kaldhusdal, Michael O’Donoghue, Josemir W. Sander, Donna Goodridge and John S. Duncan. Their work appears in journals such as Biologicals, Microbiology, Infection and Immunity, Vaccine and FEMS Microbiology Letters.
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.