Karin Eizema

955 citations
19 papers · 761 · h-index 11

Impact in

Papers in

Karin Eizema

19 papers receiving 726 citations

Peers

Karin Eizema
Comparison fields: 5 of 85
  • Equine 44
  • Cardiology and Cardiovascular Medicine 245
  • Genetics 266
  • Oncology 122
  • Molecular Biology 311
Replace H. Welter with:
H. Welter Germany
Yasmin A. Chandrasekher United States
M. J. Pead United Kingdom
Christopher P. Jerome United States
B. W. Brown Australia
Hatice Aldemir France
Barbara Fegley United States
Patrick A. Lester United States
Dennis J. Beer United States
Gareth E. Zeiler South Africa
Karin Eizema relative to H. Welter Germany H. Welter's profile →
Citations per field
00.5×8.4×
H. Welter · 1×
Citations per year

Countries citing papers authored by Karin Eizema

Since Specialization
Citations

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

Fields of papers citing papers by Karin Eizema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Eizema. 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 Karin Eizema. The network helps show where Karin Eizema may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1999263
2 2011207
3 200073
4 199242
5 200341
6 200230
7 200515
8
Comparative analysis of Engrailed-1 and Wnt-1 expression in the developing central nervous system of Xenopus laevis.
199415
9 200714
10 199613
11 200710
12 20069
13 20008
14 20096
15 20066
16 19993
17 20003
18 20062
19 20071

About Karin Eizema

Karin Eizema is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Equine and Cell Biology, having authored 19 papers that have together received 761 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Veterinary Equine Medical Research (4 papers), Signaling Pathways in Disease (4 papers), Viral Infections and Immunology Research (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Muscle metabolism and nutrition (3 papers), RNA Interference and Gene Delivery (2 papers) and Genetics and Physical Performance (2 papers). The work is most often cited by research in Equine (44 citations), Cardiology and Cardiovascular Medicine (245 citations), Genetics (266 citations), Oncology (122 citations) and Molecular Biology (311 citations). Karin Eizema has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Jos M. J. Lamers, Henry Fechner, Wolfgang Poller, Richard van Veghel, Adriaan B. Houtsmuller, Matthias Pauschinger, Regien G. Schoemaker, Schultheiss Hp, A Haack and Henk J. Stam. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, American Journal of Veterinary Research, Developmental Biology, Equine Veterinary Journal and European Heart Journal.

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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