Peter A. Milligan

23 papers receiving 1.2k citations

Peers

Peter A. Milligan
Comparison fields: 5 of 123
  • Statistics and Probability 244
  • Infectious Diseases 498
  • Pharmacology 155
  • Pharmacology 209
  • Epidemiology 399
Replace Yoshitaka Yano with:
Yoshitaka Yano Japan
Martin Bergstrand Sweden
Radojka M. Savić United States
Ron J. Keizer Netherlands
Aaron Dane United Kingdom
Guy Montay France
Dong‐Seok Yim South Korea
Nitin Mehrotra United States
Ene Ette United States
DR Mould United States
Peter A. Milligan relative to Yoshitaka Yano Japan Yoshitaka Yano's profile →
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Citations per year

Countries citing papers authored by Peter A. Milligan

Since Specialization
Citations

This map shows the geographic impact of Peter A. Milligan'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. Milligan 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. Milligan more than expected).

Fields of papers citing papers by Peter A. Milligan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007300
2 2004246
3 2013174
4 2008165
5 2010100
6 200456
7 200255
8 200342
9 199230
10 200325
11 201520
12 200911
13 200711
14 201611
15 202310
16 20087
17 20227
18 19935
19 20205
20 20164

About Peter A. Milligan

Peter A. Milligan is a scholar working on Pulmonary and Respiratory Medicine, Pharmacology, Pharmacology, Infectious Diseases and Molecular Biology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Statistical Methods in Clinical Trials (3 papers), Antifungal resistance and susceptibility (3 papers), Computational Drug Discovery Methods (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Statistics and Probability (244 citations), Infectious Diseases (498 citations), Pharmacology (155 citations), Pharmacology (209 citations) and Epidemiology (399 citations). Peter A. Milligan has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Mats O. Karlsson, Irja Lutsar, Timothy Driscoll, Nolan Wood, Thomas J. Walsh, Antonio Arrieta, R L Lalonde, Ulrika Wählby, Ajay Vora and Peter C. Adamson. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Antimicrobial Agents and Chemotherapy, Cancer Chemotherapy and Pharmacology and Toxicological Sciences.

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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