Peter D. Walker

76 papers receiving 1.4k citations

Peers

Peter D. Walker
Comparison fields: 5 of 113
  • Endocrinology 133
  • Microbiology 153
  • Infectious Diseases 448
  • Ecology 415
  • Clinical Biochemistry 101
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Bob S. Roberson United States
Reinhard Weiß Germany
Joseph M. Groff United States
T Nakai Japan
David T. Gauthier United States
W. Roger Kelly Australia
Wouter De Coster Belgium
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Citations per year

Countries citing papers authored by Peter D. Walker

Since Specialization
Citations

This map shows the geographic impact of Peter D. Walker'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 Peter D. Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D. Walker more than expected).

Fields of papers citing papers by Peter D. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D. Walker. 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 Peter D. Walker. The network helps show where Peter D. Walker may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter D. Walker, 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 Peter D. Walker Line = papers co-authored together Peter D. Walker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976119
2 1966104
3 200481
4 201274
5 197571
6 200470
7 197967
8 196662
9 196854
10 200851
11 197344
12 196941
13
DNA-based molecular diagnostic techniques : research needs for standardization and validation of the detection of aquatic animal pathogens and diseases
200037
14 200836
15 196435
16 196335
17 197032
18 197831
19 198331
20 197428

About Peter D. Walker

Peter D. Walker is a scholar working on Infectious Diseases, Endocrinology, Ecology, Clinical Biochemistry and Microbiology, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (19 papers), Bacteriophages and microbial interactions (10 papers), Diphtheria, Corynebacterium, and Tetanus (8 papers), Botulinum Toxin and Related Neurological Disorders (8 papers), Bacterial Identification and Susceptibility Testing (8 papers), Bacterial Genetics and Biotechnology (7 papers), Parasite Biology and Host Interactions (7 papers) and Streptococcal Infections and Treatments (7 papers). The work is most often cited by research in Endocrinology (133 citations), Microbiology (153 citations), Infectious Diseases (448 citations), Ecology (415 citations) and Clinical Biochemistry (101 citations). Peter D. Walker has collaborated with scholars based in United Kingdom, Netherlands and Papua New Guinea. Frequent co-authors include Irene Batty, Gregor Lawrence, ROBERT O. THOMSON, Timothy G.C. Murrell, J. R. Egerton, Sjoerd E. Wendelaar Bonga, Gerard van der Velde, P. Andreas Svensson, Pavel Novotný and Iain Barber. Their work appears in journals such as The Lancet, Journal of Medical Microbiology, Research in Veterinary Science, Nature and Journal of Applied 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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