Keith Redhead

2.3k citations
54 papers · 1.8k · h-index 23

Impact in

Papers in

    • Bacterial Infections and Vaccines 20
    • Microbial infections and disease research 4
    • Clostridium difficile and Clostridium perfringens research 9

Keith Redhead

51 papers receiving 1.7k citations

Peers

Keith Redhead
Comparison fields: 5 of 118
  • Microbiology 773
  • Endocrinology 156
  • Infectious Diseases 386
  • Small Animals 125
  • Epidemiology 519
Replace Petr Králík with:
Petr Králík Czechia
David Zeman United States
Coenraad Hendriksen Netherlands
William Weir United Kingdom
Xiaoping Ma China
Scott J. Wells United States
Armando Isibasi Mexico
P.J. van der Wolf Netherlands
Jody L. Gookin United States
G I Byrne United States
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Citations per field
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Petr Králík · 1×
Citations per year

Countries citing papers authored by Keith Redhead

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Keith Redhead Line = papers co-authored together Keith Redhead links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993261
2 1993164
3
Assessing the psychosocial consequences of epilepsy: a community-based study.
1999135
4 199694
5 200387
6 199974
7 201268
8 198964
9 201164
10 198757
11 199153
12 200751
13 201243
14 201036
15 199235
16 201135
17 198135
18 197831
19 199430
20 199128

About Keith Redhead

Keith Redhead is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Endocrinology and Neurology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (20 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), Botulinum Toxin and Related Neurological Disorders (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Microbial infections and disease research (4 papers). The work is most often cited by research in Microbiology (773 citations), Endocrinology (156 citations), Infectious Diseases (386 citations), Small Animals (125 citations) and Epidemiology (519 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, Magne Kaldhusdal, Teresa Hill, Donna Goodridge, Michael O’Donoghue, Josemir W. Sander and John S. Duncan. Their work appears in journals such as Biologicals, Microbiology, Infection and Immunity, Vaccine and Journal of Medical Microbiology.

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.

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