Thomas C. Wascher

4.0k total citations
112 papers, 3.0k citations indexed

About

Thomas C. Wascher is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas C. Wascher has authored 112 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Molecular Biology and 30 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas C. Wascher's work include Diabetes Treatment and Management (23 papers), Metabolism, Diabetes, and Cancer (18 papers) and Diabetes Management and Research (17 papers). Thomas C. Wascher is often cited by papers focused on Diabetes Treatment and Management (23 papers), Metabolism, Diabetes, and Cancer (18 papers) and Diabetes Management and Research (17 papers). Thomas C. Wascher collaborates with scholars based in Austria, Germany and United States. Thomas C. Wascher's co-authors include Wilfried Renner, Bernhard Paulweber, Wolfgang F. Graier, Uwe Langsenlehner, Peter Krippl, Harald Sourij, Hellmut Samonigg, Babak Yazdani‐Biuki, Gerald Wolf and Hermann Toplak and has published in prestigious journals such as Circulation, Diabetes Care and Diabetes.

In The Last Decade

Thomas C. Wascher

101 papers receiving 2.9k citations

Peers

Thomas C. Wascher
Comparison fields: 5 of 121
  • Molecular Biology 972
  • Physiology 731
  • Cardiology and Cardiovascular Medicine 643
  • Endocrinology, Diabetes and Metabolism 627
  • Surgery 383
Replace Friedrich Thaiss with:
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Marie‐Luise Brennan United States
Günter Wolf Germany
Marina Cardellini Italy
Praveen Chander United States
Friedrich Thaiss Germany View profile →
Citations per field, relative to Thomas C. Wascher
Thomas C. Wascher · 1×
Citations per year, relative to Thomas C. Wascher
Thomas C. Wascher · 1×

Countries citing papers authored by Thomas C. Wascher

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Wascher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas C. Wascher

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Wascher. A scholar is included among the top collaborators of Thomas C. Wascher 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 C. Wascher. Thomas C. Wascher 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 0
2 0
3 0
4 1
5 3
6 1
7 1
8 0
9 18
10 66
11 81
12 52
13 28
14 9
15 33
16 6
17 46
18
The V34L polymorphism of factor XIII and peripheral arterial disease.
9
19
Automated tissue classification of extremities using knowledge-based segmentation of MR images.
2
20 54

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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