Ryan D. Mateja

517 citations
5 papers · 406 indexed · h-index 5

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 1
    • Cardiomyopathy and Myosin Studies 4
    • Cardiovascular Effects of Exercise 4
    • Cardiac electrophysiology and arrhythmias 1
    • Cardiovascular Function and Risk Factors 1

Ryan D. Mateja

5 papers receiving 403 citations

Peers

Ryan D. Mateja
Comparison fields: 5 of 61
  • Cardiology and Cardiovascular Medicine 301
  • Cell Biology 53
  • Molecular Biology 209
  • Rehabilitation 19
  • Cellular and Molecular Neuroscience 40
Replace Takako Terui with:
Takako Terui Japan
Brett A. Colson United States
Marion von Frieling-Salewsky Germany
Philip A. Wahr United States
K. G�th Germany
Felipe de Souza Leite Canada
Marta Nocella Italy
Alexandra Belus Italy
Irene Pertici Italy
June‐Chiew Han New Zealand
Ryan D. Mateja relative to Takako Terui Japan Takako Terui's profile →
Citations per field
00.5×1.6×
Takako Terui · 1×
Citations per year

Countries citing papers authored by Ryan D. Mateja

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. Mateja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Mateja. 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 Ryan D. Mateja. The network helps show where Ryan D. Mateja may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Ryan D. Mateja, 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 Ryan D. Mateja Line = papers co-authored together Ryan D. Mateja links everyone, so they are left out of the graph.

All Works

About Ryan D. Mateja

Ryan D. Mateja is a scholar working on Aging, Cardiology and Cardiovascular Medicine, Rehabilitation, Molecular Biology and Infectious Diseases, having authored 5 papers that have together received 406 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Effects of Exercise (4 papers), Muscle Physiology and Disorders (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper), Cardiovascular Function and Risk Factors (1 paper), Exercise and Physiological Responses (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (301 citations), Cell Biology (53 citations), Molecular Biology (209 citations), Rehabilitation (19 citations) and Cellular and Molecular Neuroscience (40 citations). Ryan D. Mateja has collaborated with scholars based in United States and France. Frequent co-authors include Pieter P. de Tombe, Kittipong Tachampa, Gerrie P. Farman, Thomas C. Irving, Younss Aït Mou, Olivier Cazorla, Alain Lacampagne, Marion L. Greaser, Jessica L. Andrews and Karyn A. Esser. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Journal of Applied Physiology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Molecular and Cellular Cardiology and Biophysical 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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