Michael Mrosek

535 citations
6 papers · 365 · h-index 6

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Muscle Physiology and Disorders
    • Ubiquitin and proteasome pathways
    • ATP Synthase and ATPases Research

Papers in

Michael Mrosek

6 papers receiving 362 citations

Peers

Michael Mrosek
Comparison fields: 5 of 74
  • Cancer Research 71
  • Molecular Biology 252
  • Cell Biology 56
  • Cardiology and Cardiovascular Medicine 57
  • Computational Theory and Mathematics 38
Replace Tomoki Yoshida with:
Tomoki Yoshida Japan
Byung Jo Moon South Korea
Mark R. Southern United States
Tanmay Chavan United States
Val S. Goodfellow United States
David Ban United States
Percy J. Russell United States
Robert Mintzer United States
Antonio Limatola Italy
Roopali Saxena India
Michael Mrosek relative to Tomoki Yoshida Japan Tomoki Yoshida's profile →
Citations per field
00.5×3.7×
Tomoki Yoshida · 1×
Citations per year

Countries citing papers authored by Michael Mrosek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mrosek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2012126
2 200780
3 201544
4 201340
5 200838
6 201837

About Michael Mrosek

Michael Mrosek is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Organic Chemistry, Cellular and Molecular Neuroscience and Dermatology, having authored 6 papers that have together received 365 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (2 papers), Protein Structure and Dynamics (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Lysosomal Storage Disorders Research (1 paper), RNA and protein synthesis mechanisms (1 paper), ATP Synthase and ATPases Research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Cancer Research (71 citations), Molecular Biology (252 citations), Cell Biology (56 citations), Cardiology and Cardiovascular Medicine (57 citations) and Computational Theory and Mathematics (38 citations). Michael Mrosek has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Siegfried Labeit, Eleonore von Castelmur, Olga Mayans, D. Labeit, Heiko Heerklotz, Stephanie H. Witt, Jonathan Tart, Richard A. Ward, Louise Goodwin and Geoffrey A. Holdgate. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, The FASEB Journal, Biochemical Pharmacology and Analytical Chemistry.

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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