Stephan Schäfer

3.3k citations
51 papers · 2.2k · h-index 22

Impact in

    • Skin and Cellular Biology Research
    • Hippo pathway signaling and YAP/TAZ
  • Neurology top 5%
    • Barrier Structure and Function Studies

Papers in

Stephan Schäfer

49 papers receiving 2.1k citations

Peers

Stephan Schäfer
Comparison fields: 5 of 107
  • Cell Biology 585
  • Neurology 203
  • Immunology and Allergy 115
  • Molecular Biology 1.2k
  • Cancer Research 207
Replace Michael G. Humphreys‐Beher with:
Michael G. Humphreys‐Beher United States
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Citations per field
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Michael G. Humphreys‐Beher · 1×
Citations per year

Countries citing papers authored by Stephan Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996243
2 1999235
3 1994206
4 1995159
5
Desmosomes and cytoskeletal architecture in epithelial differentiation: cell type-specific plaque components and intermediate filament anchorage.
1994151
6 2005114
7 200699
8 199598
9
Patterns of desmocollin synthesis in human epithelia: immunolocalization of desmocollins 1 and 3 in special epithelia and in cultured cells.
199690
10 199687
11 200484
12 199864
13 201762
14 200955
15 201648
16 201543
17 200539
18 202029
19 201827
20 200826

About Stephan Schäfer

Stephan Schäfer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cell Biology and Surgery, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (12 papers), Skin and Cellular Biology Research (8 papers), Nitric Oxide and Endothelin Effects (5 papers), Renin-Angiotensin System Studies (4 papers), Cancer-related gene regulation (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cell Adhesion Molecules Research (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cell Biology (585 citations), Neurology (203 citations), Immunology and Allergy (115 citations), Molecular Biology (1.2k citations) and Cancer Research (207 citations). Stephan Schäfer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Werner W. Franke, Peter J. Koch, Christine Gründ, Hans‐Anton Lehr, C Kuhn, Brigitte H. Keon, Sabine Stumpp, Ulrike A. Nuber, Hans Heid and Ralf Zimbelmann. Their work appears in journals such as Differentiation, Scientific Reports, Clinical Neuropathology, The Journal of Cell Biology and American Journal of Physiology-Heart and Circulatory Physiology.

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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