M. E. Everts

1.6k citations
47 papers · 1.3k · h-index 21

Impact in

Papers in

M. E. Everts

46 papers receiving 1.3k citations

Peers

M. E. Everts
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 356
  • Complementary and alternative medicine 173
  • Equine 25
  • Physiology 275
  • Rehabilitation 70
Replace Jens R. Daugaard with:
Jens R. Daugaard Denmark
John N. Stallone United States
Woo-Yung Shin United States
C. van Hardeveld Netherlands
R. L. Terjung United States
Fumihiko Sasaki Japan
A Bass Czechia
A. H. Sillau United States
Nis Stride Denmark
Hideo Hatta Japan
M. E. Everts relative to Jens R. Daugaard Denmark Jens R. Daugaard's profile →
Citations per field
00.5×3.6×
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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991204
2 1991107
3 1987101
4 199475
5 199668
6 199258
7 198955
8 199351
9 198850
10 199647
11 199637
12 199437
13 198830
14 199430
15 199526
16 199626
17 198126
18 200822
19 198621
20 200720

About M. E. Everts

M. E. Everts is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cell Biology and Equine, having authored 47 papers that have together received 1.3k 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), Muscle metabolism and nutrition (6 papers), Veterinary Equine Medical Research (6 papers), Muscle activation and electromyography studies (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Complementary and alternative medicine (173 citations), Equine (25 citations), Physiology (275 citations) and Rehabilitation (70 citations). M. E. Everts has collaborated with scholars based in Netherlands, Denmark and Czechia. Frequent co-authors include Torben Clausen, C. van Hardeveld, Keld Kjeldsen, E P Moerings, T. J. Visser, G Hennemann, R. Docter, E. P. Krenning, Kjetil Retterstøl and Terje Lømo. Their work appears in journals such as Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, Equine Veterinary Journal, Journal of Endocrinology and 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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