S. Sailer

125 papers receiving 1.5k citations

Peers

S. Sailer
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 571
  • Biochemistry 170
  • Clinical Biochemistry 114
  • Cancer Research 230
  • Cardiology and Cardiovascular Medicine 260
Replace Gladys Perisutti with:
Gladys Perisutti United States
John T. Gwynne United States
C. R. Park United States
C.R. Park United States
Agneta Mode Sweden
H Kather Germany
Fumiko Mitani Japan
D L Severson Canada
Erwin J. Landon United States
Thomas H. Claus United States
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Citations per field
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Citations per year

Countries citing papers authored by S. Sailer

Since Specialization
Citations

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

Fields of papers citing papers by S. Sailer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974235
2 197696
3 202087
4 201886
5 202079
6 195776
7 198171
8 197864
9 201549
10 197546
11 196644
12 202039
13 201827
14 196624
15
[Lecithin: cholesterol acyltransferase].
197823
16 202123
17 196623
18 196622
19 198120
20 195920

About S. Sailer

S. Sailer is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 137 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Lipid metabolism and disorders (19 papers), Diabetes and associated disorders (14 papers), Diet and metabolism studies (14 papers), Lipoproteins and Cardiovascular Health (12 papers), Cancer, Lipids, and Metabolism (11 papers), Lipid metabolism and biosynthesis (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (571 citations), Biochemistry (170 citations), Clinical Biochemistry (114 citations), Cancer Research (230 citations) and Cardiology and Cardiovascular Medicine (260 citations). S. Sailer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include H Braunsteiner, F. Sandhofer, Wolfgang Patsch, Josef R. Patsch, Christian Stumpf, Gerhard M. Kostner, H.‐J. Lisch, Katrin Watschinger, A. Holasek and Ernst R. Werner. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Clinical Investigation, Naunyn-Schmiedeberg s Archives of Pharmacology, Acta Haematologica and Journal of Lipid Research.

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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