G Schettler

59 papers receiving 187 citations

Peers

G Schettler
Comparison fields: 5 of 72
  • Clinical Biochemistry 18
  • Nephrology 15
  • Endocrinology, Diabetes and Metabolism 32
  • Genetics 17
  • Transplantation 4
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Citations per year

Countries citing papers authored by G Schettler

Since Specialization
Citations

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

Fields of papers citing papers by G Schettler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195428
2 195912
3 195512
4 195312
5 197410
6
Acute influence of smoking on plasma lipoproteins.
198410
7 19529
8 19587
9 19567
10
[Epidemiology of coronary heart disease].
19846
11
[Clearance as kidney function test].
19536
12 19625
13
Preoperative chemotherapy in localized cancer of the esophagus with cis-platinum, vindesine and bleomycin.
19855
14
The low density lipoprotein and low density lipoprotein receptors and their possible importance in the pathogenesis of atherosclerosis.
19855
15 19524
16
[Anatomical and morphological studies on the so-called minus variant of the ulna at the wrist joint].
19734
17
[Essential familial hyperlipemia in monozygotic twins].
19634
18 19844
19 19743
20
[Pathogenesis of arteriosclerosis as a metabolic problem].
19553

About G Schettler

G Schettler is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 68 papers that have together received 220 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (4 papers), Vitamin D Research Studies (3 papers), Metabolism and Genetic Disorders (3 papers), Lipid metabolism and disorders (3 papers), Health and Medical Studies (2 papers), Biotin and Related Studies (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Clinical Biochemistry (18 citations), Nephrology (15 citations), Endocrinology, Diabetes and Metabolism (32 citations), Genetics (17 citations) and Transplantation (4 citations). G Schettler has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include M. Eggstein, N. Lang, Frank Dietrich, H. Greten, Gudrun Lamm, Michael Wagner, W Schwartzkopff, Gerd Schmitz, Werner Haberbosch and J. Augustín. Their work appears in journals such as Journal of Molecular Medicine, Journal of Neurology, DMW - Deutsche Medizinische Wochenschrift, Methods of Information in Medicine and Archives of Orthopaedic and Trauma Surgery.

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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