Thorsten Schaefer

1.0k citations
18 papers · 408 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Degradation and Inhibitors

Papers in

    • PI3K/AKT/mTOR signaling in cancer 4
    • Protein Degradation and Inhibitors 3
    • Renal and related cancers 2
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 2
    • Click Chemistry and Applications 2

Thorsten Schaefer

18 papers receiving 395 citations

Peers

Thorsten Schaefer
Comparison fields: 5 of 73
  • Cancer Research 86
  • Molecular Biology 246
  • Toxicology 12
  • Oncology 93
  • Organic Chemistry 70
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Christian Argueta United States
Markus Kleih Germany
Arwed Cleve Germany
Andrea Gaißler Germany
Laura Caboni Ireland
Brian L. Batley United States
Diana C. West United States
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Lata Chauhan United States
Georges Laı̈n France
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Citations per field
00.5×1.6×
Christian Argueta · 1×
Citations per year

Countries citing papers authored by Thorsten Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019131
2 202240
3 199236
4 201533
5 201731
6 201627
7 202026
8 199524
9 202315
10 202015
11 202211
12 19717
13 19634
14 20123
15 20182
16 20241
17 20161
18 20051

About Thorsten Schaefer

Thorsten Schaefer is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Oncology and Genetics, having authored 18 papers that have together received 408 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Degradation and Inhibitors (3 papers), Mast cells and histamine (2 papers), Renal and related cancers (2 papers), CAR-T cell therapy research (2 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (86 citations), Molecular Biology (246 citations), Toxicology (12 citations), Oncology (93 citations) and Organic Chemistry (70 citations). Thorsten Schaefer has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Claudia Lengerke, Steven R. Binder, Martina Konantz, Kathryn S. Kalasinsky, Sven Perner, Douglas B. Grotjahn, Matthias P. Wymann, Chiara Borsari, Lothar Kanz and Tanja Fehm. Their work appears in journals such as Chemical Science, Canadian Journal of Chemistry, Oncogene, Blood and European Journal of Medicinal Chemistry.

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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