Peter Davoren

451 citations
26 papers · 287 · h-index 9

Impact in

Papers in

Peter Davoren

24 papers receiving 283 citations

Peers

Peter Davoren
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 54
  • Small Animals 23
  • Physiology 60
  • Neurology 19
  • Gastroenterology 11
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L Savi Italy
Gao Long China
Jana Varvařovská Czechia
Christian D. Lates United States
Abdülkerim Yılmaz Türkiye
Kazuya Ohno Japan
Malek Moien Ansar Iran
Fatma H. Rizk Egypt
Chung‐Hao Li Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Peter Davoren

Since Specialization
Citations

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

Fields of papers citing papers by Peter Davoren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2 201227
3 201324
4 201920
5 199815
6 201512
7 200211
8 201410
9 19919
10 20216
11 20245
12 19915
13 20174
14 20084
15
Glucose-lowering medicines for type 2 diabetes.
20154
16 20223
17 20193
18 20072
19
Why Private Health Insurance Initiatives Don't Help Public Hospitals
20012
20 20241

About Peter Davoren

Peter Davoren is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Epidemiology and Pharmacology, having authored 26 papers that have together received 287 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (3 papers), Diet and metabolism studies (2 papers), Gut microbiota and health (2 papers), Pharmacology and Obesity Treatment (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (54 citations), Small Animals (23 citations), Physiology (60 citations), Neurology (19 citations) and Gastroenterology (11 citations). Peter Davoren has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ping Zhang, Amanda J. Cox, Allan W. Cripps, Donald W. Bowden, Benedict Devereaux, Nicholas P. West, Simon Broadley, K. M. Bowen, Caroline Whately‐Smith and A Hübinger. Their work appears in journals such as Endocrine Practice, Metabolism, Journal of Foot and Ankle Research, The Medical Journal of Australia and Australian and New Zealand Journal of Obstetrics and Gynaecology.

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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