Thomas Schwarzmayr

10.7k total citations
24 papers, 1.5k citations indexed

About

Thomas Schwarzmayr is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Thomas Schwarzmayr has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Thomas Schwarzmayr's work include Adipose Tissue and Metabolism (4 papers), Fibroblast Growth Factor Research (3 papers) and Metabolism and Genetic Disorders (3 papers). Thomas Schwarzmayr is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Fibroblast Growth Factor Research (3 papers) and Metabolism and Genetic Disorders (3 papers). Thomas Schwarzmayr collaborates with scholars based in Germany, Italy and United States. Thomas Schwarzmayr's co-authors include Tim M. Strom, Thomas Meitinger, Tim-Matthias Strom, Stanislas Werfel, Stefan Engelhardt, Elisabeth Graf, Paulina Mrozek-Górska, Herbert B. Schiller, Antonio Scialdone and Gerald Burgstaller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Thomas Schwarzmayr

24 papers receiving 1.5k citations

Peers

Thomas Schwarzmayr
Comparison fields: 5 of 105
  • Molecular Biology 808
  • Cancer Research 346
  • Physiology 267
  • Epidemiology 230
  • Surgery 228
Replace Joo‐ri Kim‐Kaneyama with:
Joo‐ri Kim‐Kaneyama Japan
Е. Р. Андреева Russia
Susan C. Hubchak United States
Markella Ponticos United Kingdom
Gervaise H. Henry United States
Ryoko Shimizu‐Hirota Japan
Ciarán O’Neill United Kingdom
Tanja Schönberger Germany
Andrew Tri Van Ho United States
Michelle Kéramidas France
Joo‐ri Kim‐Kaneyama Japan View profile →
Citations per field, relative to Thomas Schwarzmayr
Thomas Schwarzmayr · 1×
Citations per year, relative to Thomas Schwarzmayr
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Countries citing papers authored by Thomas Schwarzmayr

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schwarzmayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schwarzmayr

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schwarzmayr. A scholar is included among the top collaborators of Thomas Schwarzmayr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Schwarzmayr. Thomas Schwarzmayr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 11
3 62
4 16
5 139
6 88
7 13
8 19
9 42
10 103
11 11
12 249
13 82
14 62
15 28
16 76
17 181
18 37
19 6
20 151

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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