L. Schaupp

1000 citations
23 papers · 828 · h-index 13

Impact in

Papers in

L. Schaupp

22 papers receiving 780 citations

Peers

L. Schaupp
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 439
  • Pharmaceutical Science 57
  • Genetics 168
  • Surgery 245
  • Bioengineering 32
Replace Michael Q. Slama with:
Michael Q. Slama United States
Nikolaos Tsamandouras United States
Joan Lee Parkes United States
Francisco Javier Ampudia‐Blasco Spain
Masahiko Iwamoto Japan
Sabine Arnolds Germany
J. Leonard Brandt United States
Michael Voelker Germany
Nobuko Matsushima Japan
Hanne L. Haahr Denmark
L. Schaupp relative to Michael Q. Slama United States Michael Q. Slama's profile →
Citations per field
00.5×2×3×3.8×
Michael Q. Slama · 1×
Citations per year

Countries citing papers authored by L. Schaupp

Since Specialization
Citations

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

Fields of papers citing papers by L. Schaupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004193
2 200191
3 200080
4 199971
5 199970
6 201360
7 200643
8 201341
9 199935
10 201329
11 199829
12 199826
13 199815
14 201513
15 201510
16 20088
17 20023
18 20143
19 20132
20 20022

About L. Schaupp

L. Schaupp is a scholar working on Endocrinology, Diabetes and Metabolism, Biophysics, Physiology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 23 papers that have together received 828 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Thermoregulation and physiological responses (4 papers), Body Composition Measurement Techniques (4 papers), Cardiovascular Function and Risk Factors (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Cardiovascular and exercise physiology (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (439 citations), Pharmaceutical Science (57 citations), Genetics (168 citations), Surgery (245 citations) and Bioengineering (32 citations). L. Schaupp has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Thomas Rudolf Pieber, Martin Ellmerer, Gernot A Brunner, Ludovic J. Chassin, Roman Hovorka, Malgorzata E. Wilinska, Andrea Wutte, Paul Wach, Gerald Sendlhofer and Zlatko Trajanoski. Their work appears in journals such as Biosensors and Bioelectronics, Diabetologia, Diabetic Medicine, Diabetes Obesity and Metabolism and Skin Research and Technology.

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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