M. E. Everts

1.6k citations
49 papers · 1.4k · h-index 21

Impact in

Papers in

M. E. Everts

48 papers receiving 1.3k citations

Peers

M. E. Everts
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 369
  • Complementary and alternative medicine 158
  • Equine 23
  • Rehabilitation 72
  • Physiology 271
Replace Jens R. Daugaard with:
Jens R. Daugaard Denmark
John N. Stallone United States
Woo-Yung Shin United States
A Bass Czechia
R. L. Terjung United States
Fumihiko Sasaki Japan
A. H. Sillau United States
Hideo Hatta Japan
Nis Ottesen Stride Denmark
C. van Hardeveld Netherlands
M. E. Everts relative to Jens R. Daugaard Denmark Jens R. Daugaard's profile →
Citations per field
00.5×2×3×3.8×
Jens R. Daugaard · 1×
Citations per year

Countries citing papers authored by M. E. Everts

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Everts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Everts. 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 M. E. Everts. The network helps show where M. E. Everts may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991213
2 1991110
3 1987103
4 199477
5 199670
6 199262
7 198955
8 198851
9 199350
10 199649
11 199439
12 199638
13 199431
14 198829
15 199527
16 198127
17 199626
18 200823
19 199323
20 200721

About M. E. Everts

M. E. Everts is a scholar working on Endocrinology, Diabetes and Metabolism, Equine, Animal Science and Zoology, Biochemistry and Molecular Biology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (20 papers), Ion channel regulation and function (15 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Veterinary Equine Medical Research (6 papers), Pharmacological Effects and Assays (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Muscle metabolism and nutrition (5 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (369 citations), Complementary and alternative medicine (158 citations), Equine (23 citations), Rehabilitation (72 citations) and Physiology (271 citations). M. E. Everts has collaborated with scholars based in Netherlands, Denmark and Czechia. Frequent co-authors include Torben Clausen, C. van Hardeveld, Keld P. Kjeldsen, Ellis P. C. M. Moerings, T. J. Visser, GEORG HENNEMANN, E. P. Krenning, R. Docter, Terje Lømo and Kjetil Retterstøl. Their work appears in journals such as Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, Equine Veterinary Journal, Metabolism and Journal of Endocrinology.

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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