Marcel E. Meima

2.8k citations
60 papers · 1.8k indexed · h-index 26

Impact in

Papers in

Marcel E. Meima

59 papers receiving 1.8k citations

Peers

Marcel E. Meima
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 585
  • Cell Biology 365
  • Aging 32
  • Molecular Biology 1.0k
  • Nephrology 89
Replace Fumihiko Hakuno with:
Fumihiko Hakuno Japan
Boqin Qiang China
Takayasu Kobayashi Japan
Heather Towery United States
Masao Takeda Japan
A. García-Pérez United States
Chris Yun United States
Zoya Galcheva-Gargova United States
D. Brian Foster United States
Anne‐Françoise Burnol France
Marcel E. Meima relative to Fumihiko Hakuno Japan Fumihiko Hakuno's profile →
Citations per field
00.5×6.4×
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010144
2 2013100
3 200990
4 200275
5 201275
6 199674
7 200773
8 200069
9 201261
10 199859
11 201858
12 199946
13 201746
14 201645
15 201644
16 201543
17 201542
18 200340
19 201337
20 199934

About Marcel E. Meima

Marcel E. Meima is a scholar working on Endocrinology, Diabetes and Metabolism, Aging, Cell Biology, Genetics and Biochemistry, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (28 papers), Growth Hormone and Insulin-like Growth Factors (23 papers), Genetics and Neurodevelopmental Disorders (10 papers), Cellular Mechanics and Interactions (9 papers), Ion Transport and Channel Regulation (8 papers), Hormonal Regulation and Hypertension (7 papers), Phosphodiesterase function and regulation (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (585 citations), Cell Biology (365 citations), Aging (32 citations), Molecular Biology (1.0k citations) and Nephrology (89 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, Robert A. Fenton, Robert Zietse, Nils van der Lubbe, Ewout J. Hoorn and Theo J. Visser. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry, Endocrinology and American Journal of Physiology-Renal 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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