Gotthard Schettler

73 papers receiving 879 citations

Peers

Gotthard Schettler
Comparison fields: 5 of 115
  • Internal Medicine 63
  • Biochemistry 96
  • Cardiology and Cardiovascular Medicine 183
  • Pharmacology 130
  • Endocrinology, Diabetes and Metabolism 95
Replace H. Neuhof with:
H. Neuhof Germany
J.R. O’Brien United Kingdom
Aarne Konttinen Finland
Ivo Volf Austria
J Benvéniste France
A. Auteri Italy
A Barsotti Italy
Xiao‐Mei Li China
Mariano Janiszewski Brazil
Peter D. DeHart United States
Gotthard Schettler relative to H. Neuhof Germany H. Neuhof's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gotthard Schettler

Since Specialization
Citations

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

Fields of papers citing papers by Gotthard Schettler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985182
2 198385
3 198670
4 198044
5 198741
6 198632
7 199030
8 198528
9 199223
10 199021
11 197921
12 195820
13 199019
14 198517
15 198517
16 198417
17 199616
18 198615
19 198613
20 198713

About Gotthard Schettler

Gotthard Schettler is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 86 papers that have together received 956 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Inflammatory mediators and NSAID effects (7 papers), Cancer, Lipids, and Metabolism (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Health Promotion and Cardiovascular Prevention (5 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Internal Medicine (63 citations), Biochemistry (96 citations), Cardiology and Cardiovascular Medicine (183 citations), Pharmacology (130 citations) and Endocrinology, Diabetes and Metabolism (95 citations). Gotthard Schettler has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Andreas J. R. Habenicht, M. Goerig, R G Gronwald, H. A. Dresel, Russell Ross, B Kommerell, Job Harenberg, H Mörl, Rainer Zimmermann and Robert M. Nerem. Their work appears in journals such as Journal of Molecular Medicine, Preventive Medicine, Atherosclerosis, The EMBO Journal and The Keio Journal of Medicine.

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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