Thomas Brunner

17.1k total citations · 6 hit papers
171 papers, 13.8k citations indexed

About

Thomas Brunner is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Thomas Brunner has authored 171 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Immunology, 77 papers in Molecular Biology and 31 papers in Oncology. Recurrent topics in Thomas Brunner's work include Cell death mechanisms and regulation (44 papers), Immune Cell Function and Interaction (30 papers) and Immune Response and Inflammation (25 papers). Thomas Brunner is often cited by papers focused on Cell death mechanisms and regulation (44 papers), Immune Cell Function and Interaction (30 papers) and Immune Response and Inflammation (25 papers). Thomas Brunner collaborates with scholars based in Switzerland, Germany and United States. Thomas Brunner's co-authors include Douglas R. Green, Thomas A. Ferguson, Thomas S. Griffith, C. A. Dahinden, Shailaja Kasibhatla, Artin Mahboubi, Fernando Echeverri, Stephan C. Bischoff, Nadia Corazza and Clemens A. Dahinden and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas Brunner

169 papers receiving 13.5k citations

Hit Papers

Fas Ligand-Induced Apopto... 1992 2026 2003 2014 1995 1995 2006 1998 1992 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Brunner 5.9k 5.8k 2.1k 1.9k 1.6k 171 13.8k
Masato Tanaka 7.5k 1.3× 6.2k 1.1× 1.7k 0.8× 1.3k 0.7× 1.3k 0.8× 203 14.8k
Maripat Corr 7.0k 1.2× 5.1k 0.9× 1.7k 0.8× 1.4k 0.7× 1.4k 0.9× 177 14.4k
Edwin R. Chilvers 4.8k 0.8× 4.1k 0.7× 1.3k 0.6× 1.1k 0.6× 1.4k 0.9× 218 12.1k
David R. Greaves 7.1k 1.2× 7.1k 1.2× 3.5k 1.7× 2.0k 1.0× 1.2k 0.7× 183 16.9k
Irmgard Förster 8.3k 1.4× 4.2k 0.7× 2.6k 1.2× 1.6k 0.8× 1.9k 1.2× 117 14.8k
Michael A. Palladino 7.8k 1.3× 7.4k 1.3× 3.5k 1.7× 1.6k 0.9× 1.7k 1.0× 218 18.4k
Bernd Arnold 6.6k 1.1× 4.5k 0.8× 2.0k 0.9× 1.2k 0.6× 1.2k 0.8× 167 15.1k
Teizo Yoshimura 8.6k 1.5× 5.4k 0.9× 4.8k 2.3× 1.7k 0.9× 1.6k 1.0× 318 17.8k
Brian J. Nickoloff 9.1k 1.5× 5.3k 0.9× 4.4k 2.1× 1.7k 0.9× 1.4k 0.8× 239 19.0k
John Westwick 3.9k 0.7× 6.0k 1.0× 3.0k 1.4× 969 0.5× 1.3k 0.8× 239 13.8k

Countries citing papers authored by Thomas Brunner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Brunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Brunner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Brunner. A scholar is included among the top collaborators of Thomas Brunner 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 Thomas Brunner. Thomas Brunner 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.
El‐Mesery, Mohamed, et al.. (2024). Non-canonical functions of BCL-2 family members in energy metabolism and necrotic cell death regulation. Cell Cycle. 23(21-24). 931–948.
2.
Lambrecht, R, Valentina C. Sladky, Truong San Phan, et al.. (2023). Non-canonical BIM-regulated energy metabolism determines drug-induced liver necrosis. Cell Death and Differentiation. 31(1). 119–131. 8 indexed citations
3.
Renzulli, Pietro, et al.. (2023). Glucocorticoids are differentially synthesized along the murine and human respiratory tree. Allergy. 78(9). 2428–2440. 6 indexed citations
4.
Grob, Leonie, et al.. (2023). Human lung carcinomas synthesize immunoregulatory glucocorticoids. Genes and Immunity. 24(1). 52–56. 3 indexed citations
5.
Butera, Alessio, Lena Smirnova, Elisa Ferrando‐May, et al.. (2023). Deconvoluting gene and environment interactions to develop an “epigenetic score meter” of disease. EMBO Molecular Medicine. 15(9). e18208–e18208. 7 indexed citations
6.
Phan, Truong San, Pascale Zwicky, Sarah Mundt, et al.. (2021). Keratinocytes control skin immune homeostasis through de novo–synthesized glucocorticoids. Science Advances. 7(5). 36 indexed citations
7.
Bogomolovas, Julius, Jennifer R. Fleming, Barbara Franke, et al.. (2021). Titin kinase ubiquitination aligns autophagy receptors with mechanical signals in the sarcomere. EMBO Reports. 22(10). e48018–e48018. 31 indexed citations
8.
Seiwert, Nina, Daniel Heylmann, Markus Christmann, et al.. (2021). Natural Merosesquiterpenes Activate the DNA Damage Response via DNA Strand Break Formation and Trigger Apoptotic Cell Death in p53-Wild-Type and Mutant Colorectal Cancer. Cancers. 13(13). 3282–3282. 10 indexed citations
9.
Huang, Juan, Truong San Phan, Christian Schmidt, et al.. (2019). The orphan nuclear receptor LRH-1/NR5a2 critically regulates T cell functions. Science Advances. 5(7). eaav9732–eaav9732. 18 indexed citations
11.
Haimovici, A, Magali Humbert, Elena Federzoni, et al.. (2017). PU.1 supports TRAIL-induced cell death by inhibiting NF-κB-mediated cell survival and inducing DR5 expression. Cell Death and Differentiation. 24(5). 866–877. 20 indexed citations
13.
Kassahn, Daniela, et al.. (2011). Local glucocorticoid production in the mouse lung is induced by immune cell stimulation. Allergy. 67(2). 227–234. 56 indexed citations
14.
Bandi, Nora, Mathias Gugger, Marlène Arnold, et al.. (2009). miR-15a and miR-16 Are Implicated in Cell Cycle Regulation in a Rb-Dependent Manner and Are Frequently Deleted or Down-regulated in Non–Small Cell Lung Cancer. Cancer Research. 69(13). 5553–5559. 312 indexed citations
15.
Herold, Susanne, Werner von Wulffen, Lidija Cakarova, et al.. (2008). Lung epithelial apoptosis in influenza virus pneumonia: the role of macrophage-expressed TNF-related apoptosis-inducing ligand. The Journal of Experimental Medicine. 205(13). 3065–3077. 298 indexed citations
16.
Zeisler, Harald, et al.. (2005). Akupunktur zur Behandlung postmenopausaler Beschwerden: Ein Erfahrungsbericht. Journal für Kardiologie (Krause & Pachernegg GmbH). 12(1). 25–26. 1 indexed citations
17.
Yada, Shinichiro, Noriaki Takamura, Kyoko Inagaki‐Ohara, et al.. (2005). The Role of p53 and Fas in a Model of Acute Murine Graft-versus-Host Disease. The Journal of Immunology. 174(3). 1291–1297. 9 indexed citations
18.
Saurer, Leslie, Nadia Corazza, Sabine Jakob, et al.. (2003). Sensitizing antigen-specific CD8+ T cells for accelerated suicide causes immune incompetence. Journal of Clinical Investigation. 111(8). 1191–1199. 16 indexed citations
19.
Vallan, Claudio, et al.. (2001). Accumulation and Activation-Induced Release of Preformed Fas (CD95) Ligand During the Pathogenesis of Experimental Graft-Versus-Host Disease. The Journal of Immunology. 167(5). 2936–2941. 29 indexed citations
20.
Brunner, Thomas & Clemens A. Dahinden. (1993). Regulation of basophil effector functions by cytokines. 5. 175–180. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026