Torsten Steinbrunn

805 citations
33 papers · 655 · h-index 13

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Heat shock proteins research
    • Protein Degradation and Inhibitors
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling

Papers in

Torsten Steinbrunn

30 papers receiving 653 citations

Peers

Torsten Steinbrunn
Comparison fields: 5 of 53
  • Hematology 326
  • Molecular Biology 199
  • Cell Biology 26
  • Oncology 41
  • Genetics 13
Replace Luigia Rao with:
Luigia Rao Italy
Michela Carlet Germany
Masayuki Umeda United States
Chin Hin Ng Singapore
Maria Chiara Fontana Italy
Sonia S. D'Souza United States
Joan P. Zape United States
Kamaleldin E. Elagib United States
Pravina Fernandez United States
Julia E. Draper United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Torsten Steinbrunn

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Steinbrunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 201072
3 201954
4 201652
5 202052
6 201350
7 201247
8 202122
9 201420
10 201419
11 201617
12 202417
13 201914
14 202012
15 202311
16 201210
17 20186
18 20226
19 20165
20 20245

About Torsten Steinbrunn

Torsten Steinbrunn is a scholar working on Hematology, Biotechnology, Genetics, Molecular Biology and Immunology, having authored 33 papers that have together received 655 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (28 papers), RNA Interference and Gene Delivery (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Heat shock proteins research (1 paper), Phagocytosis and Immune Regulation (1 paper), CAR-T cell therapy research (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Hematology (326 citations), Molecular Biology (199 citations), Cell Biology (26 citations), Oncology (41 citations) and Genetics (13 citations). Torsten Steinbrunn has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Thorsten Stühmer, Ralf Christian Bargou, Manik Chatterjee, Hermann Einsele, Andreas Rosenwald, Claudia Hofmann, S. Kressmann, Mindaugas Andrulis, Anja Mottok and Christian Unzicker. Their work appears in journals such as Haematologica, Blood Cancer Journal, Blood, Leukemia and Cancers.

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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