Stefan Pscherer

587 citations
38 papers · 482 · h-index 13

Impact in

Papers in

    • Diabetes Management and Research 12
    • Diabetes Treatment and Management 6
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
    • TGF-β signaling in diseases 5
    • Metabolism, Diabetes, and Cancer 3
    • Bone Metabolism and Diseases 2

Stefan Pscherer

38 papers receiving 460 citations

Peers

Stefan Pscherer
Comparison fields: 5 of 63
  • Orthopedics and Sports Medicine 76
  • Endocrinology, Diabetes and Metabolism 122
  • Urology 17
  • Family Practice 4
  • Molecular Biology 161
Replace Nataša Drača with:
Nataša Drača Croatia
Ana López‐Herradón Spain
C M Francucci Italy
Bue Bak Denmark
Monica M. Beyer United States
Qinghe Zeng United States
J. Huuskonen Finland
H Liang United States
Mark Hajjawi United Kingdom
A. Ogasawara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Pscherer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Pscherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201265
2 201541
3 201640
4 201629
5 201229
6 201027
7 201320
8 201718
9 201518
10 201418
11 201016
12 201812
13 201512
14 202011
15 201210
16 201410
17 20189
18 20138
19 20198
20 20138

About Stefan Pscherer

Stefan Pscherer is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Epidemiology and Orthopedics and Sports Medicine, having authored 38 papers that have together received 482 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes Treatment and Management (6 papers), TGF-β signaling in diseases (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Bone Metabolism and Diseases (2 papers), Bone health and osteoporosis research (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (76 citations), Endocrinology, Diabetes and Metabolism (122 citations), Urology (17 citations), Family Practice (4 citations) and Molecular Biology (161 citations). Stefan Pscherer has collaborated with scholars based in Germany, India and Switzerland. Frequent co-authors include Sabrina Ehnert, Andreas K. Nüssler, Thomas Freude, Ulrich Stöckle, Karel Kostev, Franz‐Werner Dippel, Steven Dooley, Karl F. Braun, Jochen Seufert and Helga Frank. Their work appears in journals such as Diabetes Obesity and Metabolism, Journal of Diabetes Science and Technology, Diabetes, Primary care diabetes and Archives of Toxicology.

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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