Lutz Thon

879 total citations
10 papers, 585 citations indexed

About

Lutz Thon is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Lutz Thon has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Lutz Thon's work include Cell death mechanisms and regulation (6 papers), Phagocytosis and Immune Regulation (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). Lutz Thon is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Phagocytosis and Immune Regulation (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). Lutz Thon collaborates with scholars based in Germany, United States and France. Lutz Thon's co-authors include Dieter Adam, Sabine Mathieu, Stefan Schütze, Dieter Kabelitz, Jürgen Tepel, Andreas Noack, Bodo Schniewind, Holger Kalthoff, Harald Wajant and Anna Trauzold and has published in prestigious journals such as The Journal of Immunology, Cancer Research and The FASEB Journal.

In The Last Decade

Lutz Thon

10 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lutz Thon Germany 7 349 188 177 79 63 10 585
Yanwen Zhou Japan 16 394 1.1× 119 0.6× 158 0.9× 90 1.1× 61 1.0× 34 618
Elisa Lorenzo Italy 6 475 1.4× 144 0.8× 142 0.8× 112 1.4× 29 0.5× 7 737
Catherine Olesch Germany 12 293 0.8× 234 1.2× 126 0.7× 77 1.0× 40 0.6× 20 525
Bingfeng Song China 16 262 0.8× 364 1.9× 155 0.9× 111 1.4× 41 0.7× 22 759
Liza D. Morales United States 12 406 1.2× 190 1.0× 149 0.8× 114 1.4× 81 1.3× 20 736
Longzhen Piao China 17 450 1.3× 95 0.5× 181 1.0× 126 1.6× 57 0.9× 33 674
Chantal Lummen Netherlands 8 273 0.8× 166 0.9× 124 0.7× 122 1.5× 33 0.5× 9 547
Franz M. Hess Germany 7 323 0.9× 126 0.7× 180 1.0× 171 2.2× 44 0.7× 10 650
Yang Brooks United States 7 337 1.0× 87 0.5× 160 0.9× 115 1.5× 161 2.6× 8 627
Jin Na Shin United States 11 488 1.4× 143 0.8× 138 0.8× 108 1.4× 144 2.3× 15 656

Countries citing papers authored by Lutz Thon

Since Specialization
Citations

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

Fields of papers citing papers by Lutz Thon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lutz Thon

This figure shows the co-authorship network connecting the top 25 collaborators of Lutz Thon. A scholar is included among the top collaborators of Lutz Thon 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 Lutz Thon. Lutz Thon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Falk, Alexander T., Lutz Thon, Nicolas Guibert, et al.. (2016). Impact of Kras mutant subtypes on PD-L1 expression in lung adenocarcinoma. Annals of Oncology. 27. vi28–vi28. 2 indexed citations
2.
Sosna, Justyna, Sabine Mathieu, Lutz Thon, et al.. (2013). TNF-induced necroptosis and PARP-1-mediated necrosis represent distinct routes to programmed necrotic cell death. Cellular and Molecular Life Sciences. 71(2). 331–348. 132 indexed citations
4.
Egberts, Jan‐Hen drik, Andreas Noack, Bodo Schniewind, et al.. (2008). Anti–Tumor Necrosis Factor Therapy Inhibits Pancreatic Tumor Growth and Metastasis. Cancer Research. 68(5). 1443–1450. 211 indexed citations
5.
Mathieu, Sabine, Lutz Thon, Diane M. Ward, et al.. (2007). The WD repeat protein FAN regulates lysosome size independent from abnormal downregulation/membrane recruitment of protein kinase C. Experimental Cell Research. 313(12). 2703–2718. 17 indexed citations
6.
Stamme, Cordula, Lutz Thon, Dieter Adam, et al.. (2006). MaxiK Blockade Selectively Inhibits the Lipopolysaccharide-Induced IκB-α/NF-κB Signaling Pathway in Macrophages. The Journal of Immunology. 177(6). 4086–4093. 47 indexed citations
7.
Thon, Lutz, Sabine Mathieu, Dieter Kabelitz, & Dieter Adam. (2006). The murine TRAIL receptor signals caspase-independent cell death through ceramide. Experimental Cell Research. 312(19). 3808–3821. 34 indexed citations
8.
Hallas, Cora, Supandi Winoto‐Morbach, Marten Jakob, et al.. (2006). TNF-receptor I defective in internalization allows for cell death through activation of neutral sphingomyelinase. Experimental Cell Research. 312(11). 2142–2153. 36 indexed citations
9.
Thon, Lutz, et al.. (2005). The apoptosis inhibitory domain of FE65-like protein 1 regulates both apoptotic and caspase-independent programmed cell death mediated by tumor necrosis factor. Biochemical and Biophysical Research Communications. 335(2). 575–583. 4 indexed citations
10.
Thon, Lutz, Sabine Mathieu, Elena Bulanova, et al.. (2005). Ceramide mediates caspase‐independent programmed cell death. The FASEB Journal. 19(14). 1945–1956. 101 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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