Mats Garle

55 papers receiving 2.1k citations

Peers

Mats Garle
Comparison fields: 5 of 110
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Toxicology 121
  • Pharmacology 257
  • Cell Biology 398
  • Animal Science and Zoology 246
Replace Enrique Baraona with:
Enrique Baraona United States
Lena Ekström Sweden
H. F. Woods United Kingdom
H.L.J. Makin United Kingdom
Bernard B. Davis United States
Robert B. Parker United States
Patricia A. Craven United States
Sheila A Doggrell Australia
Peter S. Sever United Kingdom
Georg Sager Norway
Mats Garle relative to Enrique Baraona United States Enrique Baraona's profile →
Citations per field
00.5×5.9×
Enrique Baraona · 1×
Citations per year

Countries citing papers authored by Mats Garle

Since Specialization
Citations

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

Fields of papers citing papers by Mats Garle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008249
2 2006231
3 2008151
4 201599
5 200893
6 200388
7 201282
8 197267
9 200563
10 201254
11 201153
12 197452
13 200647
14 199544
15 198243
16 201043
17 199641
18 199240
19 199639
20 200837

About Mats Garle

Mats Garle is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Sociology and Political Science and Pharmacology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (22 papers), Sexual Differentiation and Disorders (12 papers), Doping in Sports (8 papers), Anesthesia and Pain Management (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Analytical Methods in Pharmaceuticals (5 papers), Pain Mechanisms and Treatments (5 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Toxicology (121 citations), Pharmacology (257 citations), Cell Biology (398 citations) and Animal Science and Zoology (246 citations). Mats Garle has collaborated with scholars based in Sweden, United Kingdom and Switzerland. Frequent co-authors include Anders Rane, Folke Sjöqvist, Lena Ekström, Jenny J. Schulze, Ingemar Thiblin, John‐Olof Thörngren, Kjell Carlström, O. Borg�, Magnus Borga and Elzbieta Palonek. Their work appears in journals such as European Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Chromatography A, Acta Anaesthesiologica Scandinavica and The Journal of Clinical Endocrinology & Metabolism.

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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