Stefan Schäfer

2.8k citations
60 papers · 1.8k · h-index 22

Impact in

Papers in

Stefan Schäfer

56 papers receiving 1.7k citations

Peers

Stefan Schäfer
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 500
  • Cardiology and Cardiovascular Medicine 417
  • Physiology 79
  • Nephrology 68
  • Pulmonary and Respiratory Medicine 267
Replace Nirmal Parajuli with:
Nirmal Parajuli Canada
Isabella Russo Italy
Paola Massucco Italy
Luigi Mattiello Italy
Sachiko Hattori Japan
Christiane Viedt Germany
Hideaki Jinnouchi Japan
Jody Levasseur Canada
Fina Lovren Canada
Franziska Theilig Germany
Stefan Schäfer relative to Nirmal Parajuli Canada Nirmal Parajuli's profile →
Citations per field
00.5×2.6×
Nirmal Parajuli · 1×
Citations per year

Countries citing papers authored by Stefan Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014313
2 2010156
3 2008121
4 1999106
5 199994
6 200265
7 201062
8 199362
9 199760
10 200760
11 200849
12 201145
13 200537
14 200536
15 200534
16 200833
17 200431
18 200429
19 201528
20 201027

About Stefan Schäfer

Stefan Schäfer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Hormonal Regulation and Hypertension (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Radiation Dose and Imaging (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (4 papers), Protein Degradation and Inhibitors (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (500 citations), Cardiology and Cardiovascular Medicine (417 citations), Physiology (79 citations), Nephrology (68 citations) and Pulmonary and Respiratory Medicine (267 citations). Stefan Schäfer has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Peter Kolkhof, Lars Bärfacker, Malte Kelm, Axel Kretschmer, Elke Hartmann, Barbara Albrecht‐Küpper, Martina Delbeck, Andreas Büsch, Wolfram Steinke and Frank Eitner. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Nutrients, Cardiovascular Research, ChemMedChem and Drug Discovery Today.

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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