Maria E. Everts

826 citations
28 papers · 714 · h-index 14

Impact in

Papers in

Maria E. Everts

28 papers receiving 660 citations

Peers

Maria E. Everts
Comparison fields: 5 of 77
  • Equine 37
  • Endocrinology, Diabetes and Metabolism 185
  • Nephrology 51
  • Nutrition and Dietetics 79
  • Cell Biology 82
Replace S. Porta with:
S. Porta Austria
H.K. Nielsen Denmark
BA Scoggins Australia
A. Mengel Denmark
Clarissa H. Beatty United States
Ensari Güneli Türkiye
Shannon E. Campbell Canada
P A MacLennan United Kingdom
Katsuhiro Koyama Japan
Dean A. Sewell United Kingdom
Maria E. Everts relative to S. Porta Austria S. Porta's profile →
Citations per field
00.5×9.3×
S. Porta · 1×
Citations per year

Countries citing papers authored by Maria E. Everts

Since Specialization
Citations

This map shows the geographic impact of Maria 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 Maria 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 Maria E. Everts more than expected).

Fields of papers citing papers by Maria E. Everts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria 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 Maria E. Everts Line = papers co-authored together Maria 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989210
2 199191
3 199154
4 198649
5 199644
6 199732
7 198622
8 200321
9 198721
10 200718
11 200417
12 199917
13 200515
14 200714
15 199813
16 200611
17 200710
18 20019
19 19929
20 20069

About Maria E. Everts

Maria E. Everts is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Equine and Surgery, having authored 28 papers that have together received 714 indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Thyroid Disorders and Treatments (7 papers), Muscle metabolism and nutrition (6 papers), Veterinary Equine Medical Research (5 papers), Muscle Physiology and Disorders (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Pharmacological Effects and Assays (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Equine (37 citations), Endocrinology, Diabetes and Metabolism (185 citations), Nephrology (51 citations), Nutrition and Dietetics (79 citations) and Cell Biology (82 citations). Maria E. Everts has collaborated with scholars based in Netherlands, Denmark and Switzerland. Frequent co-authors include Allan Flyvbjerg, I Dørup, Torben Clausen, Keld Kjeldsen, Theo J. Visser, G Hennemann, Hans Ørskov, Roelof Docter, Karin Eizema and Eric P. Krenning. Their work appears in journals such as American Journal of Veterinary Research, Endocrinology, Journal of Histochemistry & Cytochemistry, British Journal Of Nutrition and American Journal of Obstetrics and Gynecology.

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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