Katrin Schäfer

7.5k citations
136 papers · 5.1k indexed · h-index 39

Katrin Schäfer

131 papers receiving 5.0k citations

Peers

Katrin Schäfer
Comparison fields: 5 of 152
  • Internal Medicine 582
  • Endocrine and Autonomic Systems 569
  • Cardiology and Cardiovascular Medicine 1.4k
  • Hematology 487
  • Physiology 1.0k
Replace Kunio Shirato with:
Kunio Shirato Japan
Martin R. Wilkins United Kingdom
Christoph Kopp Austria
Paul M. Hassoun United States
Ernest L. Mazzaferri United States
Harrison W. Farber United States
Ramzi Ajjan United Kingdom
Andreas Günther Germany
Horst Olschewski Austria
David Montani France
Katrin Schäfer relative to Kunio Shirato Japan Kunio Shirato's profile →
Citations per field
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Kunio Shirato · 1×
Citations per year

Countries citing papers authored by Katrin Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20246
4 202410
5 20241
6 20219
7 202123
8 20207
9 201815
10 201732
11 201774
12 20168
13 201427
14 201148
15 2010106
16 20059
17
Lipopolysaccharide binding protein: a marker for intraperitoneal bacterial infection in patients with CAPD peritonitis.
19971
18 1994118
19 197441
20 19532

About Katrin Schäfer

Katrin Schäfer is a scholar working on Internal Medicine, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Hematology and Cancer Research, having authored 136 papers that have together received 5.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (26 papers), Regulation of Appetite and Obesity (16 papers), Venous Thromboembolism Diagnosis and Management (14 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), Angiogenesis and VEGF in Cancer (13 papers), Protease and Inhibitor Mechanisms (11 papers), Atherosclerosis and Cardiovascular Diseases (11 papers) and Cardiovascular Disease and Adiposity (11 papers). The work is most often cited by research in Internal Medicine (582 citations), Endocrine and Autonomic Systems (569 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Hematology (487 citations) and Physiology (1.0k citations). Katrin Schäfer has collaborated with scholars based in Germany, Greece and United States. Frequent co-authors include Stavros Konstantinides, David J. Loskutoff, Magdalena L. Bochenek, Gerd Hasenfuß, Claudia Dellas, Rajinikanth Gogiraju, Stefan Koschnick, Mareike Lankeit, Thomas Münzel and Philip Wenzel. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Thrombosis and Haemostasis, Berichte der Bunsengesellschaft für physikalische Chemie, Cardiovascular Research and Circulation.

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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