L. Schaupp

997 citations
23 papers · 722 · h-index 13

Impact in

Papers in

L. Schaupp

22 papers receiving 684 citations

Peers

L. Schaupp
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 410
  • Pharmaceutical Science 50
  • Surgery 223
  • Genetics 150
  • Bioengineering 31
Replace Joan Lee Parkes with:
Joan Lee Parkes United States
Steen H. Ingwersen Denmark
Kenshi Ichinose Japan
Yasuhiro Tahara Japan
C.H. Mesquita Brazil
Leona Plum‐Mörschel Germany
J C Standefer United States
Hanne Haahr Denmark
Nancy A. Hurley United States
Katarzyna Nabrdalik Poland
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Citations per field
00.5×10×16.7×
Joan Lee Parkes · 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 2004182
2 200189
3 200076
4 199967
5 201354
6 200640
7 199937
8 201335
9 201330
10 199827
11 199822
12 199814
13 201513
14 201510
15 20088
16 20064
17 20143
18 20023
19 20022
20 20022

About L. Schaupp

L. Schaupp is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Biomedical Engineering and Surgery, having authored 23 papers that have together received 722 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Body Composition Measurement Techniques (4 papers), Thermoregulation and physiological responses (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Cardiovascular Function and Risk Factors (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Cardiovascular and exercise physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (410 citations), Pharmaceutical Science (50 citations), Surgery (223 citations), Genetics (150 citations) and Bioengineering (31 citations). L. Schaupp has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Thomas R. Pieber, Martin Ellmerer, Gernot Brunner, Ludovic J. Chassin, Roman Hovorka, Malgorzata E. Wilinska, Andrea Wutte, Gerald Sendlhofer, Paul Wach and Zlatko Trajanoski. Their work appears in journals such as Biosensors and Bioelectronics, Diabetic Medicine, Diabetes Obesity and Metabolism, Biomedical Microdevices 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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