Tom Delanghe

964 total citations
11 papers, 658 citations indexed

About

Tom Delanghe is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Tom Delanghe has authored 11 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Tom Delanghe's work include interferon and immune responses (7 papers), Cell death mechanisms and regulation (7 papers) and NF-κB Signaling Pathways (7 papers). Tom Delanghe is often cited by papers focused on interferon and immune responses (7 papers), Cell death mechanisms and regulation (7 papers) and NF-κB Signaling Pathways (7 papers). Tom Delanghe collaborates with scholars based in Belgium, Germany and United States. Tom Delanghe's co-authors include Mathieu J.M. Bertrand, Yves Dondelinger, Peter Vandenabeele, Dario Priem, Diego Rojas‐Rivera, Tinneke Delvaeye, Franky Van Herreweghe, Inge Bruggeman, Teresa Corona and Marcus Krüger and has published in prestigious journals such as Nature Communications, Immunity and Nature Cell Biology.

In The Last Decade

Tom Delanghe

9 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Delanghe Belgium 7 498 323 140 81 75 11 658
Dario Priem Belgium 10 512 1.0× 344 1.1× 194 1.4× 95 1.2× 104 1.4× 15 712
Danish Saleh United States 8 519 1.0× 317 1.0× 96 0.7× 86 1.1× 92 1.2× 16 781
Hyun‐Jung An South Korea 15 395 0.8× 169 0.5× 115 0.8× 108 1.3× 83 1.1× 22 627
Jie Han United States 15 527 1.1× 176 0.5× 119 0.8× 142 1.8× 118 1.6× 24 767
Marc Schuster Germany 14 217 0.4× 316 1.0× 125 0.9× 76 0.9× 141 1.9× 21 594
Jui Dutta United States 8 461 0.9× 172 0.5× 215 1.5× 183 2.3× 52 0.7× 14 752
Songfang Wu China 13 380 0.8× 105 0.3× 143 1.0× 64 0.8× 100 1.3× 15 622
Wenhui Yu China 18 586 1.2× 122 0.4× 254 1.8× 102 1.3× 65 0.9× 66 994
Shujun Yuan United States 11 520 1.0× 153 0.5× 60 0.4× 54 0.7× 121 1.6× 18 713
Catherine Chang Australia 15 275 0.6× 145 0.4× 78 0.6× 139 1.7× 35 0.5× 19 513

Countries citing papers authored by Tom Delanghe

Since Specialization
Citations

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

Fields of papers citing papers by Tom Delanghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Delanghe

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

All Works

11 of 11 papers shown
1.
Kolbrink, Benedikt, Tom Delanghe, Franziska Theilig, et al.. (2025). Primidone: a clinically promising candidate for the treatment of psoriasis. Cell Death Discovery. 11(1). 275–275.
2.
Priem, Dario, Barbara Gilbert, Tom Delanghe, et al.. (2025). ATG9A-mediated autophagy prevents inflammatory skin disease by limiting TNFR1-driven STING activation and ZBP1-dependent cell death. Immunity. 58(12). 2972–2988.e6.
3.
Delanghe, Tom, et al.. (2025). TAB2 controls a TAK1-independent cell death checkpoint at the level of TNFR1 complex II in the TNF pathway. Cell Death and Differentiation. 33(1). 64–76. 2 indexed citations
4.
Dondelinger, Yves, et al.. (2023). NINJ1 is activated by cell swelling to regulate plasma membrane permeabilization during regulated necrosis. Cell Death and Disease. 14(11). 755–755. 36 indexed citations
5.
Puylaert, Pauline, Yves Dondelinger, Tom Delanghe, et al.. (2022). The Impact of RIPK1 Kinase Inhibition on Atherogenesis: A Genetic and a Pharmacological Approach. Biomedicines. 10(5). 1016–1016. 5 indexed citations
6.
Delanghe, Tom, Dario Priem, Samya Van Coillie, et al.. (2021). Antioxidant and food additive BHA prevents TNF cytotoxicity by acting as a direct RIPK1 inhibitor. Cell Death and Disease. 12(7). 699–699. 24 indexed citations
7.
Delanghe, Tom, Yves Dondelinger, & Mathieu J.M. Bertrand. (2020). RIPK1 Kinase-Dependent Death: A Symphony of Phosphorylation Events. Trends in Cell Biology. 30(3). 189–200. 108 indexed citations
8.
Nagata, Masahiro, Tom Delanghe, Janica L. Wiederstein, et al.. (2020). Autophosphorylation at serine 166 regulates RIP kinase 1-mediated cell death and inflammation. Nature Communications. 11(1). 1747–1747. 172 indexed citations
9.
Dondelinger, Yves, Tom Delanghe, Dario Priem, et al.. (2019). Serine 25 phosphorylation inhibits RIPK1 kinase-dependent cell death in models of infection and inflammation. Nature Communications. 10(1). 1729–1729. 139 indexed citations
10.
Dondelinger, Yves, Tom Delanghe, & Mathieu J.M. Bertrand. (2018). MK2 puts an additional brake on RIPK1 cytotoxic potential. Cell Death and Differentiation. 25(3). 457–459. 10 indexed citations
11.
Dondelinger, Yves, Tom Delanghe, Diego Rojas‐Rivera, et al.. (2017). MK2 phosphorylation of RIPK1 regulates TNF-mediated cell death. Nature Cell Biology. 19(10). 1237–1247. 162 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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