Wolf‐Eberhard Siems

1.1k citations
35 papers · 917 · h-index 18

Impact in

Papers in

Wolf‐Eberhard Siems

34 papers receiving 893 citations

Peers

Wolf‐Eberhard Siems
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 401
  • Endocrinology, Diabetes and Metabolism 150
  • Cellular and Molecular Neuroscience 163
  • Pharmacology 79
  • Genetics 45
Replace Sayaka Nagata with:
Sayaka Nagata Japan
L. Mannucci Italy
Anthony Johns United States
Claire Tournois France
Chris Hillier United Kingdom
Marcos Barrouin Melo Brazil
Gerald D. Kelly United States
Pierre Eftekhari France
Naoki Matsumoto Japan
Kyan James Allahdadi Brazil
Wolf‐Eberhard Siems relative to Sayaka Nagata Japan Sayaka Nagata's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wolf‐Eberhard Siems

Since Specialization
Citations

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

Fields of papers citing papers by Wolf‐Eberhard Siems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wolf‐Eberhard Siems. 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 Wolf‐Eberhard Siems. The network helps show where Wolf‐Eberhard Siems may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005164
2 200762
3 200758
4 200952
5 200148
6 200848
7 200544
8 200942
9 201037
10 200836
11 200134
12 201033
13 200930
14 199828
15 200421
16 200019
17 200917
18 199817
19 200616
20 199914

About Wolf‐Eberhard Siems

Wolf‐Eberhard Siems is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Oncology, having authored 35 papers that have together received 917 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Renin-Angiotensin System Studies (11 papers), Neuropeptides and Animal Physiology (7 papers), Hormonal Regulation and Hypertension (7 papers), Peptidase Inhibition and Analysis (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Heart Failure Treatment and Management (4 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (401 citations), Endocrinology, Diabetes and Metabolism (150 citations), Cellular and Molecular Neuroscience (163 citations), Pharmacology (79 citations) and Genetics (45 citations). Wolf‐Eberhard Siems has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas Walther, Florian Gembardt, Anja Sterner‐Kock, Heinz‐Peter Schultheiß, Matthias Becker, Heinz‐Peter Schultheiss, Hans Imboden, Gerd Krause, Björn Maul and Xiaoou Sun. Their work appears in journals such as PLoS ONE, Journal of Cardiovascular Pharmacology, Biological Chemistry, The FASEB Journal and Journal of Cardiac Failure.

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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