Gotthard Schettler

4.8k citations
119 papers · 1.2k · h-index 17

Impact in

Papers in

Gotthard Schettler

99 papers receiving 1.0k citations

Peers

Gotthard Schettler
Comparison fields: 5 of 119
  • Internal Medicine 71
  • Biochemistry 119
  • Cardiology and Cardiovascular Medicine 239
  • Pharmacology 144
  • Endocrinology, Diabetes and Metabolism 128
Replace H. Neuhof with:
H. Neuhof Germany
J.R. O’Brien United Kingdom
Aarne Konttinen Finland
Ivo Volf Austria
Werner Richter Germany
A. Auteri Italy
Xiao‐Mei Li China
A Barsotti Italy
Mariano Janiszewski Brazil
A F Winder United Kingdom
Gotthard Schettler relative to H. Neuhof Germany H. Neuhof's profile →
Citations per field
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H. Neuhof · 1×
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 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985198
2 1983113
3 198673
4 198047
5 198742
6 198639
7 199032
8 198531
9 197927
10 195826
11 199224
12 199022
13 199021
14 198420
15 198519
16 198519
17 198616
18 199616
19 198716
20
Atherosclerosis IV : proceedings of the fourth International Symposium
197715

About Gotthard Schettler

Gotthard Schettler is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 119 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Cancer, Lipids, and Metabolism (11 papers), Inflammatory mediators and NSAID effects (7 papers), Health Promotion and Cardiovascular Prevention (6 papers), Diet and metabolism studies (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Lipid metabolism and disorders (5 papers). The work is most often cited by research in Internal Medicine (71 citations), Biochemistry (119 citations), Cardiology and Cardiovascular Medicine (239 citations), Pharmacology (144 citations) and Endocrinology, Diabetes and Metabolism (128 citations). Gotthard Schettler has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Andreas J. R. Habenicht, M. Goerig, Russell Ross, R G Gronwald, H. A. Dresel, H Mörl, H. Schmid‐Schönbein, Curt Diehm, Robert M. Nerem and B Kommerell. Their work appears in journals such as Journal of Molecular Medicine, Preventive Medicine, Atherosclerosis, The Keio Journal of Medicine and The EMBO Journal.

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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