I. Kolder

528 citations
8 papers · 325 · h-index 7

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Cardiac electrophysiology and arrhythmias
    • Cardiomyopathy and Myosin Studies
    • Cardiovascular Effects of Exercise
    • Cardiac pacing and defibrillation studies

Papers in

I. Kolder

8 papers receiving 319 citations

Peers

I. Kolder
Comparison fields: 5 of 64
  • Genetics 84
  • Cardiology and Cardiovascular Medicine 139
  • Hematology 48
  • Molecular Biology 144
  • Neurology 27
Replace Norihiro Koyama with:
Norihiro Koyama Japan
Donna K. Mahnke-Zizelman United States
Guillaume Jedraszak France
Sarah Groves United Kingdom
Edyta Glogowska France
N. Logghe Belgium
Lina Ghaloul‐Gonzalez United States
S Shiokawa Japan
Wendy Yang United States
Laila K. Effat Egypt
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Citations per field
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Norihiro Koyama · 1×
Citations per year

Countries citing papers authored by I. Kolder

Since Specialization
Citations

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

Fields of papers citing papers by I. Kolder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201389
2 201473
3 201947
4 201242
5 201635
6 201223
7 201915
8 20171

About I. Kolder

I. Kolder is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Epidemiology and Pharmacology, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Semantic Web and Ontologies (1 paper), Ion channel regulation and function (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Genetics (84 citations), Cardiology and Cardiovascular Medicine (139 citations), Hematology (48 citations), Molecular Biology (144 citations) and Neurology (27 citations). I. Kolder has collaborated with scholars based in Netherlands, United Kingdom and Russia. Frequent co-authors include Michael W.T. Tanck, Connie R. Bezzina, Mariëlle Alders, Nynke Hofman, Ronald H. Lekanne Deprez, Irene M. van Langen, Marcel M. A. M. Mannens, Hanno L. Tan, Simone de Haij and Arthur A.M. Wilde. Their work appears in journals such as BMC Genomics, Journal of Molecular and Cellular Cardiology, Journal of Proteome Research, European Journal of Human Genetics and Molecular Therapy — Nucleic Acids.

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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