Thomas Kaufmann

15.3k total citations · 1 hit paper
126 papers, 5.7k citations indexed

About

Thomas Kaufmann is a scholar working on Molecular Biology, Immunology and Agronomy and Crop Science. According to data from OpenAlex, Thomas Kaufmann has authored 126 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 37 papers in Immunology and 20 papers in Agronomy and Crop Science. Recurrent topics in Thomas Kaufmann's work include Cell death mechanisms and regulation (34 papers), Reformation and Early Modern Christianity (13 papers) and RNA Interference and Gene Delivery (12 papers). Thomas Kaufmann is often cited by papers focused on Cell death mechanisms and regulation (34 papers), Reformation and Early Modern Christianity (13 papers) and RNA Interference and Gene Delivery (12 papers). Thomas Kaufmann collaborates with scholars based in Switzerland, Germany and Australia. Thomas Kaufmann's co-authors include Andreas Strasser, Philipp J. Jost, Christoph Borner, David C.S. Huang, Philippe Bouillet, Hans‐Uwe Simon, Anna C. Schinzel, Jerry M. Adams, Ruth M. Kluck and Mark F. van Delft and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas Kaufmann

121 papers receiving 5.6k citations

Hit Papers

Apoptosis Initiated When BH3 Ligands Engage Multiple Bcl-... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Kaufmann Switzerland 35 3.6k 1.6k 765 654 455 126 5.7k
P.A. Walker United Kingdom 36 4.7k 1.3× 1.2k 0.7× 2.3k 3.0× 439 0.7× 365 0.8× 50 7.3k
Honglin Luo Canada 42 2.7k 0.8× 1.3k 0.8× 1.3k 1.7× 568 0.9× 545 1.2× 150 6.0k
Aimin Zhou United States 36 2.3k 0.6× 2.2k 1.3× 748 1.0× 1.0k 1.6× 453 1.0× 116 5.1k
Timothy Harris United States 35 1.6k 0.4× 1.8k 1.1× 528 0.7× 1.3k 2.0× 334 0.7× 90 5.0k
Michael F. Radonovich United States 35 1.7k 0.5× 1.9k 1.2× 375 0.5× 1.3k 1.9× 348 0.8× 60 4.4k
Andrew J. Dorner United States 43 3.1k 0.9× 1.9k 1.2× 832 1.1× 904 1.4× 509 1.1× 87 7.3k
Tomozumi Imamichi United States 28 2.8k 0.8× 1.5k 0.9× 643 0.8× 554 0.8× 792 1.7× 89 6.1k
Haruko Ogawa Japan 35 1.6k 0.4× 726 0.4× 611 0.8× 226 0.3× 240 0.5× 236 4.4k
Ramneek Gupta Denmark 24 4.7k 1.3× 893 0.5× 575 0.8× 438 0.7× 229 0.5× 62 7.1k
Kenneth C. Parker United States 33 4.5k 1.3× 2.8k 1.7× 667 0.9× 692 1.1× 216 0.5× 65 7.9k

Countries citing papers authored by Thomas Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kaufmann

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Kaufmann. A scholar is included among the top collaborators of Thomas Kaufmann 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 Kaufmann. Thomas Kaufmann 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
2.
Humbert, Magali, Petra Minder, Anna M. Schläfli, et al.. (2022). Hexokinase 3 enhances myeloid cell survival via non-glycolytic functions. Cell Death and Disease. 13(5). 448–448. 34 indexed citations
3.
Kaufmann, Thomas, et al.. (2021). Sialic Acids and Their Influence on Human NK Cell Function. Cells. 10(2). 263–263. 25 indexed citations
4.
Fernández‐Marrero, Yuniel, et al.. (2021). Loss of BOK Has a Minor Impact on Acetaminophen Overdose-Induced Liver Damage in Mice. International Journal of Molecular Sciences. 22(6). 3281–3281. 1 indexed citations
5.
Wiersema, Renske, José Castela Forte, Thomas Kaufmann, et al.. (2019). Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies. Journal of Visualized Experiments. 5 indexed citations
6.
Spilgies, Lisanne M., Monica Yabal, Erika Owsley, et al.. (2019). TNFR2 induced priming of the inflammasome leads to a RIPK1-dependent cell death in the absence of XIAP. Cell Death and Disease. 10(10). 56–56. 28 indexed citations
7.
Kaufmann, Thomas, et al.. (2018). IL-4 enhances survival of in vitro-differentiated mouse basophils through transcription-independent signaling downstream of PI3K. Cell Death and Disease. 9(7). 713–713. 9 indexed citations
8.
Corazza, Nadia, et al.. (2018). Loss of BID Delays FASL-Induced Cell Death of Mouse Neutrophils and Aggravates DSS-Induced Weight Loss. International Journal of Molecular Sciences. 19(3). 684–684. 9 indexed citations
9.
Kr̆epela, E, Vera S. Donnenberg, Albert D. Donnenberg, et al.. (2017). BOK displays cell death‐independent tumor suppressor activity in non‐small‐cell lung carcinoma. International Journal of Cancer. 141(10). 2050–2061. 23 indexed citations
10.
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
11.
Schneider, Christoph, Christian W. Keller, Isaak Quast, et al.. (2017). IVIG regulates the survival of human but not mouse neutrophils. Scientific Reports. 7(1). 1296–1296. 28 indexed citations
12.
Rabachini, Tatiana, Yuniel Fernández‐Marrero, M. Montani, et al.. (2017). BOK promotes chemical-induced hepatocarcinogenesis in mice. Cell Death and Differentiation. 25(4). 708–720. 30 indexed citations
13.
Fernández‐Marrero, Yuniel, et al.. (2016). Survival control of malignant lymphocytes by anti-apoptotic MCL-1. Leukemia. 30(11). 2152–2159. 31 indexed citations
14.
Wong, W. Wei‐Lynn, et al.. (2016). Loss of XIAP facilitates switch to TNFα-induced necroptosis in mouse neutrophils. Cell Death and Disease. 7(10). e2422–e2422. 70 indexed citations
15.
Kaufmann, Thomas, et al.. (2015). Hearing Loops, The Preferred Assistive Listening Technology. Journal of the Audio Engineering Society. 63(4). 298–302. 3 indexed citations
16.
Yousefi, Shída, et al.. (2014). The generation of neutrophils in the bone marrow is controlled by autophagy. Cell Death and Differentiation. 22(3). 445–456. 91 indexed citations
17.
Moeller, Bernd & Thomas Kaufmann. (2011). Zwinglis Disputationen : studien zur Kirchengründung in den Städten der frühen Reformation. Vandenhoeck & Ruprecht eBooks. 3 indexed citations
18.
Schmich, Kathrin, Robert Pick, Thomas Kaufmann, et al.. (2008). Switch from type II to I Fas/CD95 death signaling on in vitro culturing of primary hepatocytes. Hepatology. 48(6). 1942–1953. 46 indexed citations
19.
Kaufmann, Thomas, et al.. (2007). A BVD Free Communal Alpine Pasture in Switzerland. Bern Open Repository and Information System (University of Bern). 1 indexed citations
20.
Schinzel, Anna C., et al.. (2004). Conformational control of Bax localization and apoptotic activity by Pro168. The Journal of Cell Biology. 164(7). 1021–1032. 124 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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