Marcel E. Meima

2.9k citations
62 papers · 1.9k · h-index 27

Impact in

Papers in

Marcel E. Meima

60 papers receiving 1.9k citations

Peers

Marcel E. Meima
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 594
  • Cell Biology 382
  • Aging 31
  • Molecular Biology 1.0k
  • Nephrology 85
Replace Fumihiko Hakuno with:
Fumihiko Hakuno Japan
Takayasu Kobayashi Japan
Heather Towery United States
Alfonso Mora Spain
A. García-Pérez United States
Masao Takeda Japan
Peter Drain United States
A S Preston United States
D. Brian Foster United States
Chris Yun United States
Marcel E. Meima relative to Fumihiko Hakuno Japan Fumihiko Hakuno's profile →
Citations per field
00.5×6.1×
Fumihiko Hakuno · 1×
Citations per year

Countries citing papers authored by Marcel E. Meima

Since Specialization
Citations

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

Fields of papers citing papers by Marcel E. Meima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010152
2 2013102
3 200990
4 200281
5 199679
6 201278
7 200776
8 200073
9 200164
10 201264
11 199860
12 201860
13 201652
14 201751
15 201651
16 201548
17 199947
18 201543
19 200341
20 201337

About Marcel E. Meima

Marcel E. Meima is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cell Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (28 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Cellular Mechanics and Interactions (9 papers), Ion Transport and Channel Regulation (8 papers), Genetics and Neurodevelopmental Disorders (6 papers), Hormonal Regulation and Hypertension (5 papers), Phosphodiesterase function and regulation (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (594 citations), Cell Biology (382 citations), Aging (31 citations), Molecular Biology (1.0k citations) and Nephrology (85 citations). Marcel E. Meima has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Pauline Schaap, A.H. Jan Danser, Robin P. Peeters, W. Edward Visser, Diane L. Barber, Theo J. Visser, Nils van der Lubbe, Robert A. Fenton, Ewout J. Hoorn and Robert Zietse. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry, Endocrinology and Pflügers Archiv - European Journal of Physiology.

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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