Friedhelm Sayk

58 papers receiving 1.5k citations

Peers

Friedhelm Sayk
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 226
  • Endocrinology 131
  • Cardiology and Cardiovascular Medicine 334
  • Physiology 283
  • Experimental and Cognitive Psychology 131
Replace Lucia Spicuzza with:
Lucia Spicuzza Italy
K. Gourgoulianis Greece
Chih‐Cheng Huang Taiwan
Gerard J. Ligthart Netherlands
Jeong Jin Lee South Korea
Jan Hedenbro Sweden
Brandon Williams United States
Marta Cześnikiewicz‐Guzik Poland
Michel A. Pontari United States
Charles A. Sninsky United States
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Citations per field
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Citations per year

Countries citing papers authored by Friedhelm Sayk

Since Specialization
Citations

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

Fields of papers citing papers by Friedhelm Sayk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002147
2 2018124
3 2012110
4 200985
5
Histopathological grading of ascending aortic aneurysm: comparison of patients with bicuspid versus tricuspid aortic valve.
200373
6 201070
7 201170
8 200768
9 200267
10 200857
11 200452
12 200952
13 201345
14 199944
15 201343
16 200539
17 201537
18 201229
19 201422
20 201122

About Friedhelm Sayk

Friedhelm Sayk is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Physiology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (12 papers), Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Sleep and Wakefulness Research (6 papers), Regulation of Appetite and Obesity (5 papers), Circadian rhythm and melatonin (4 papers), Sleep and related disorders (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (226 citations), Endocrinology (131 citations), Cardiology and Cardiovascular Medicine (334 citations), Physiology (283 citations) and Experimental and Cognitive Psychology (131 citations). Friedhelm Sayk has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christoph Dodt, Hendrik Lehnert, Peter Wellhöner, Alfred C. Feller, Stefan Krüger, Daniel Droemann, Hartwig Büttner, Andreas Böhle, Christoph R. Becker and Martin Nitschke. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Hypertension and Current Infectious Disease Reports.

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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