Thorsten Stühmer

3.6k total citations
62 papers, 2.7k citations indexed

About

Thorsten Stühmer is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Thorsten Stühmer has authored 62 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 29 papers in Hematology and 17 papers in Oncology. Recurrent topics in Thorsten Stühmer's work include Multiple Myeloma Research and Treatments (29 papers), PI3K/AKT/mTOR signaling in cancer (10 papers) and Heat shock proteins research (9 papers). Thorsten Stühmer is often cited by papers focused on Multiple Myeloma Research and Treatments (29 papers), PI3K/AKT/mTOR signaling in cancer (10 papers) and Heat shock proteins research (9 papers). Thorsten Stühmer collaborates with scholars based in Germany, United States and Spain. Thorsten Stühmer's co-authors include Ralf C. Bargou, Manik Chatterjee, John L.R. Rubenstein, Kurt Bommert, Marc Ekker, Hermann Einsele, Stewart A. Anderson, Mindaugas Andrulis, Torsten Steinbrunn and Harald Wajant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Thorsten Stühmer

61 papers receiving 2.6k citations

Peers

Thorsten Stühmer
Thorsten Stühmer
Citations per year, relative to Thorsten Stühmer Thorsten Stühmer (= 1×) peers Kunio Kitamura

Countries citing papers authored by Thorsten Stühmer

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Stühmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Stühmer

This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten Stühmer. A scholar is included among the top collaborators of Thorsten Stühmer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thorsten Stühmer. Thorsten Stühmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stühmer, Thorsten, Martin Schreder, Torsten Steinbrunn, et al.. (2024). Association of ADAM family members with proliferation signaling and disease progression in multiple myeloma. Blood Cancer Journal. 14(1). 156–156. 2 indexed citations
2.
Chatterjee, Manik, et al.. (2020). Targeting of the E3 ubiquitin-protein ligase HUWE1 impairs DNA repair capacity and tumor growth in preclinical multiple myeloma models. Scientific Reports. 10(1). 18419–18419. 11 indexed citations
3.
Brünnert, Daniela, Marianne Kraus, Thorsten Stühmer, et al.. (2019). Novel cell line models to study mechanisms and overcoming strategies of proteasome inhibitor resistance in multiple myeloma. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(6). 1666–1676. 13 indexed citations
4.
El‐Mesery, Mohamed, Hilka Rauert‐Wunderlich, Martin Schreder, et al.. (2019). The NEDD8-activating enzyme inhibitor MLN4924 sensitizes a TNFR1+ subgroup of multiple myeloma cells for TNF-induced cell death. Cell Death and Disease. 10(8). 611–611. 17 indexed citations
5.
Stühmer, Thorsten, Anja Mottok, Claus Jürgen Scholz, et al.. (2019). RAL GTPases mediate multiple myeloma cell survival and are activated independently of oncogenic RAS. Haematologica. 105(9). 2316–2326. 13 indexed citations
6.
Roth, M., Santiago Barrio, Harald Wajant, et al.. (2019). Assessment of TP53 lesions for p53 system functionality and drug resistance in multiple myeloma using an isogenic cell line model. Scientific Reports. 9(1). 18062–18062. 14 indexed citations
7.
El‐Mesery, Mohamed, Alexander Kübler, Urs Müller‐Richter, et al.. (2017). The anti-myeloma activity of bone morphogenetic protein 2 predominantly relies on the induction of growth arrest and is apoptosis-independent. PLoS ONE. 12(10). e0185720–e0185720. 8 indexed citations
8.
Seher, Axel, Thorsten Stühmer, Urs Müller‐Richter, et al.. (2017). Utilizing BMP-2 muteins for treatment of multiple myeloma. PLoS ONE. 12(5). e0174884–e0174884. 8 indexed citations
9.
Müller, Elisabeth, Sebastian Bauer, Thorsten Stühmer, et al.. (2016). Pan-Raf co-operates with PI3K-dependent signalling and critically contributes to myeloma cell survival independently of mutated RAS. Leukemia. 31(4). 922–933. 16 indexed citations
10.
Hausmann, Stefan, Evelyn R. Brandt, Hermann Einsele, et al.. (2015). Loss of Serum and Glucocorticoid-Regulated Kinase 3 (SGK3) Does Not Affect Proliferation and Survival of Multiple Myeloma Cell Lines. PLoS ONE. 10(4). e0122689–e0122689. 3 indexed citations
11.
Leich, Ellen, Susann Weißbach, Hans‐Ulrich Klein, et al.. (2013). Multiple myeloma is affected by multiple and heterogeneous somatic mutations in adhesion- and receptor tyrosine kinase signaling molecules. Blood Cancer Journal. 3(2). e102–e102. 43 indexed citations
12.
Stühmer, Thorsten, et al.. (2013). Modulation of natural killer cell effector functions through lenalidomide/dasatinib and their combined effects against multiple myeloma cells. Leukemia & lymphoma. 55(1). 168–176. 19 indexed citations
13.
Steinbrunn, Torsten, Daniela Siegmund, Mindaugas Andrulis, et al.. (2012). Integrin-linked kinase is dispensable for multiple myeloma cell survival. Leukemia Research. 36(9). 1165–1171. 10 indexed citations
14.
Berg, Daniela, Thorsten Stühmer, Daniela Siegmund, et al.. (2009). Oligomerized tumor necrosis factor‐related apoptosis inducing ligand strongly induces cell death in myeloma cells, but also activates proinflammatory signaling pathways. FEBS Journal. 276(23). 6912–6927. 23 indexed citations
15.
Stühmer, Thorsten, Manik Chatterjee, Ruth Seggewiss, et al.. (2009). Anti‐myeloma activity of the novel 2‐aminothienopyrimidine Hsp90 inhibitor NVP‐BEP800. British Journal of Haematology. 147(3). 319–327. 14 indexed citations
16.
Gattenlöhner, Stefan, Thorsten Stühmer, Ellen Leich, et al.. (2009). Specific Detection of CD56 (NCAM) Isoforms for the Identification of Aggressive Malignant Neoplasms with Progressive Development. American Journal Of Pathology. 174(4). 1160–1171. 37 indexed citations
17.
Bringmann, Gerhard, Torsten Bruhn, Reto Brun, et al.. (2008). Antitumoral and antileishmanial dioncoquinones and ancistroquinones from cell cultures of Triphyophyllum peltatum (Dioncophyllaceae) and Ancistrocladus abbreviatus (Ancistrocladaceae). Phytochemistry. 69(13). 2501–2509. 37 indexed citations
18.
Janz, Martin, Thorsten Stühmer, Lyubomir T. Vassilev, & Ralf C. Bargou. (2007). Pharmacologic activation of p53-dependent and p53-independent apoptotic pathways in Hodgkin/Reed-Sternberg cells. Leukemia. 21(4). 772–779. 33 indexed citations
19.
Bommert, Kurt, Ralf C. Bargou, & Thorsten Stühmer. (2006). Signalling and survival pathways in multiple myeloma. European Journal of Cancer. 42(11). 1574–1580. 128 indexed citations

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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