Thomas C. Wascher

4.0k citations
112 papers · 3.0k · h-index 33

Impact in

Papers in

Thomas C. Wascher

102 papers receiving 2.9k citations

Peers

Thomas C. Wascher
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 438
  • Physiology 604
  • Cardiology and Cardiovascular Medicine 456
  • Cancer Research 230
  • Clinical Biochemistry 89
Replace Paolo Mené with:
Paolo Mené Italy
Andreas H. Wagner Germany
Andreas Gardemann Germany
Marshall A. Corson United States
Miguel Pocovı́ Spain
T B Rajavashisth United States
Hideo Izawa Japan
Elisabetta Trabetti Italy
Eddie L. Greene United States
Vanesa Esteban Spain
Thomas C. Wascher relative to Paolo Mené Italy Paolo Mené's profile →
Citations per field
00.5×1.5×1.9×
Paolo Mené · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003275
2 2003248
3 2012100
4 200692
5 199782
6 201081
7 199972
8 199370
9 200669
10 200566
11 201266
12 200565
13 199764
14 199962
15 199554
16 200652
17 200249
18 200549
19 200349
20 200446

About Thomas C. Wascher

Thomas C. Wascher is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Metabolism, Diabetes, and Cancer (15 papers), Nitric Oxide and Endothelin Effects (14 papers), Diabetes Management and Research (12 papers), Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Diet and metabolism studies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (438 citations), Physiology (604 citations), Cardiology and Cardiovascular Medicine (456 citations), Cancer Research (230 citations) and Clinical Biochemistry (89 citations). Thomas C. Wascher has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Wilfried Renner, Bernhard Paulweber, Wolfgang F. Graier, Peter Krippl, Uwe Langsenlehner, Harald Sourij, Hellmut Samonigg, Babak Yazdani‐Biuki, Gerald Wolf and Hermann Toplak. Their work appears in journals such as Diabetes, European Journal of Clinical Investigation, Breast Cancer Research and Treatment, Atherosclerosis and European Journal of Pharmacology.

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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