Peter A. C. Maple

2.2k citations
58 papers · 1.8k · h-index 23

Impact in

Papers in

Peter A. C. Maple

58 papers receiving 1.7k citations

Peers

Peter A. C. Maple
Comparison fields: 5 of 106
  • Microbiology 423
  • Endocrinology 267
  • Infectious Diseases 590
  • Epidemiology 754
  • Clinical Biochemistry 147
Replace Brenda Kwambana-Adams with:
Brenda Kwambana-Adams United Kingdom
Jin Han Kang South Korea
Geoff G. Hogg Australia
Anwar Ahmed Hoosen South Africa
Craig S. Conover United States
Trevor P. Anderson New Zealand
Daniel Goldenberger Switzerland
Candice E. Johnson United States
Musa Y. Hindiyeh Israel
Maureen H. Diaz United States
Peter A. C. Maple relative to Brenda Kwambana-Adams United Kingdom Brenda Kwambana-Adams's profile →
Citations per field
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Brenda Kwambana-Adams · 1×
Citations per year

Countries citing papers authored by Peter A. C. Maple

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. C. Maple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. C. Maple. 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 A. C. Maple. The network helps show where Peter A. C. Maple may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989278
2 2007129
3 2004118
4 2000109
5 199596
6 200388
7 200082
8 200469
9 199265
10 200044
11 200642
12 201440
13 201038
14 200337
15 198935
16 201034
17 202231
18 200930
19 198926
20 201925

About Peter A. C. Maple

Peter A. C. Maple is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Microbiology and Animal Science and Zoology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (19 papers), Diphtheria, Corynebacterium, and Tetanus (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Animal Virus Infections Studies (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Bacterial Infections and Vaccines (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Virology and Viral Diseases (5 papers). The work is most often cited by research in Microbiology (423 citations), Endocrinology (267 citations), Infectious Diseases (590 citations), Epidemiology (754 citations) and Clinical Biochemistry (147 citations). Peter A. C. Maple has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include William Brumfitt, Jeremy M. T. Hamilton-Miller, Nick J Andrews, Elizabeth J. Miller, Kevin Brown, Nicholas J. Andrews, Robert C. George, Richard G. Pebody, Judith Breuer and Rose‐Marie Ölander. Their work appears in journals such as Vaccine, Vaccines, Epidemiology and Infection, Journal of Clinical Virology and The Lancet.

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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