Reinhold Schäfer

8.0k citations
132 papers · 5.9k indexed · 1 hit paper · h-index 41
    • Cancer Genomics and Diagnostics 14
    • RNA Research and Splicing 12
    • Genomics and Chromatin Dynamics 9
    • PI3K/AKT/mTOR signaling in cancer 8
    • Protein Kinase Regulation and GTPase Signaling 8
  • Oncology top 2%
    • Cancer-related Molecular Pathways 20
    • Cancer Cells and Metastasis 14
    • Colorectal Cancer Treatments and Studies 10
  • Immunology top 2%

Reinhold Schäfer

130 papers receiving 5.7k citations

Hit Papers

Deficient signaling in mice devoid of double-stranded RNA...5551995202620052015100200300400500

Peers

Reinhold Schäfer
Comparison fields: 5 of 137
  • Cancer Research 1.1k
  • Molecular Biology 3.8k
  • Oncology 1.3k
  • Cell Biology 750
  • Immunology 961
Replace Laura Sanz with:
Laura Sanz Spain
Peter M. Finan United Kingdom
Christine Sers Germany
Anke Klippel United States
Ningzhi Xu China
Richard Leduc Canada
Sebastian Nijman Austria
Kathleen Kelly United States
Paul Yaswen United States
Robert P. Wersto United States
Reinhold Schäfer relative to Laura Sanz Spain Laura Sanz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Reinhold Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Reinhold Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20231
4 202217
5 202210
6 202113
7 202016
8 201932
9 201319
10 201026
11 200942
12 20087
13 20075
14 20061
15 200595
16 200556
17 2005128
18 199444
19 1993119
20 199191

About Reinhold Schäfer

Reinhold Schäfer is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 132 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (20 papers), Cancer Genomics and Diagnostics (14 papers), Cancer Cells and Metastasis (14 papers), RNA Research and Splicing (12 papers), Colorectal Cancer Treatments and Studies (10 papers), Genomics and Chromatin Dynamics (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.8k citations) and Oncology (1.3k citations). Reinhold Schäfer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include R Klemenz, Christine Sers, Erika Fröhli, Balázs Győrffy, Christian Stratowa, Atsushi Aoyama, Rudolf H. Steiger, Oleg Tchernitsa, Manfred Dietel and Adriano Aguzzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

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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