Thorsten Schaefer

958 citations
15 papers · 711 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Pluripotent Stem Cells Research 3
    • Developmental Biology and Gene Regulation 2
    • Protein Degradation and Inhibitors 1
    • Glioma Diagnosis and Treatment 1

Thorsten Schaefer

14 papers receiving 701 citations

Peers

Thorsten Schaefer
Comparison fields: 5 of 57
  • Oncology 192
  • Hematology 112
  • Immunology 124
  • Cancer Research 54
  • Genetics 31
Replace Ruth Scheicher with:
Ruth Scheicher Austria
Stephen K. Horrigan United States
Raffaella Pippa Spain
Nicole M. Nasholm United States
Kaylyn E. Williamson United States
Valentina S. Caputo United Kingdom
Gabi Vohwinkel Germany
Jeevisha Bajaj United States
Marica Gemei Italy
Dagny Von Ahrens United States
Thorsten Schaefer relative to Ruth Scheicher Austria Ruth Scheicher's profile →
Citations per field
00.5×1.5×1.9×
Ruth Scheicher · 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

15 of 15 papers shown
#Work
1 2019299
2 2019148
3 202246
4 201538
5 201736
6 201633
7 202031
8 202022
9 202318
10 201817
11 202213
12 20244
13 20123
14 20243
15 20250

About Thorsten Schaefer

Thorsten Schaefer is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Cancer Research, having authored 15 papers that have together received 711 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Pluripotent Stem Cells Research (3 papers), Developmental Biology and Gene Regulation (2 papers), Cancer Cells and Metastasis (1 paper), Acute Myeloid Leukemia Research (1 paper), Click Chemistry and Applications (1 paper), Protein Degradation and Inhibitors (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (192 citations), Hematology (112 citations), Immunology (124 citations), Cancer Research (54 citations) and Genetics (31 citations). Thorsten Schaefer has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Claudia Lengerke, Martina Konantz, Sven Perner, Chiara Borsari, Matthias P. Wymann, Tanja Natascha Fehm, Lothar Kanz, Anna Paczulla, Klaus Schulze‐Osthoff and Hui Wang. Their work appears in journals such as Chemical Science, Oncogene, Blood, Journal of the American Chemical Society and Oncotarget.

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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