Frieder Schöck

2.0k citations
40 papers · 1.6k · h-index 24

Impact in

Papers in

Frieder Schöck

39 papers receiving 1.5k citations

Peers

Frieder Schöck
Comparison fields: 5 of 109
  • Cell Biology 553
  • Immunology and Allergy 117
  • Aging 31
  • Cellular and Molecular Neuroscience 276
  • Cardiology and Cardiovascular Medicine 305
Replace Erika R. Geisbrecht with:
Erika R. Geisbrecht United States
Elizabeth H. Chen United States
Sarah Woolner United Kingdom
Sven Bogdan Germany
Susan R. Haynes United States
Thomas A. Bunch United States
Wayne L. Rickoll United States
Ruth A. Montague United States
József Mihály Hungary
Everett Bandman United States
Frieder Schöck relative to Erika R. Geisbrecht United States Erika R. Geisbrecht's profile →
Citations per field
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Erika R. Geisbrecht · 1×
Citations per year

Countries citing papers authored by Frieder Schöck

Since Specialization
Citations

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

Fields of papers citing papers by Frieder Schöck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002209
2 2009151
3 200799
4 200491
5 200287
6 200268
7 200355
8 201254
9 200352
10 201152
11 201348
12 201346
13 201044
14 199644
15 200838
16 199938
17 201435
18 201734
19 200031
20 199827

About Frieder Schöck

Frieder Schöck is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Cellular and Molecular Neuroscience and Genetics, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (17 papers), Cellular Mechanics and Interactions (16 papers), Muscle Physiology and Disorders (10 papers), Developmental Biology and Gene Regulation (9 papers), Neurobiology and Insect Physiology Research (7 papers), RNA Research and Splicing (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cell Biology (553 citations), Immunology and Allergy (117 citations), Aging (31 citations), Cellular and Molecular Neuroscience (276 citations) and Cardiology and Cardiovascular Medicine (305 citations). Frieder Schöck has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Norbert Perrimon, John C. Sparrow, Michael K. Dahl, Nicanor González‐Morales, Herbert Jäckle, Stefan Czerniecki, Bruce H. Reed, Ronit Wilk, Howard D. Lipshitz and Beverly A. Purnell. Their work appears in journals such as Journal of Cell Science, PLoS Genetics, Mechanisms of Development, The Journal of Cell Biology and Frontiers in Cell and Developmental Biology.

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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