David Moquin

4.5k total citations · 2 hit papers
8 papers, 3.6k citations indexed

About

David Moquin is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, David Moquin has authored 8 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in David Moquin's work include Cell death mechanisms and regulation (5 papers), NF-κB Signaling Pathways (3 papers) and interferon and immune responses (2 papers). David Moquin is often cited by papers focused on Cell death mechanisms and regulation (5 papers), NF-κB Signaling Pathways (3 papers) and interferon and immune responses (2 papers). David Moquin collaborates with scholars based in United States, Russia and Italy. David Moquin's co-authors include Francis Ka-Ming Chan, Melissa Guildford, Sreerupa Challa, Tathagat Dutta Ray, Ryan M. Genga, Thomas J. McQuade, Hao Wu, Johanna Napetschnig, Thomas Walz and Ansgar B. Siemer and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and Genes & Development.

In The Last Decade

David Moquin

8 papers receiving 3.6k citations

Hit Papers

Phosphorylation-Driven Assembly of the RIP1-RIP3 Complex ... 2009 2026 2014 2020 2009 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Moquin United States 7 2.7k 1.5k 601 458 429 8 3.6k
Vera Goossens Belgium 26 2.8k 1.0× 1.4k 0.9× 722 1.2× 416 0.9× 554 1.3× 37 4.2k
Juan Lin China 12 2.5k 0.9× 1.5k 1.0× 679 1.1× 472 1.0× 413 1.0× 25 3.5k
Tathagat Dutta Ray United States 8 2.3k 0.9× 1.3k 0.8× 715 1.2× 287 0.6× 789 1.8× 12 3.4k
Hamid Kashkar Germany 34 2.5k 0.9× 1.0k 0.7× 544 0.9× 614 1.3× 447 1.0× 73 3.7k
Yves Dondelinger Belgium 16 2.1k 0.8× 1.2k 0.8× 407 0.7× 317 0.7× 472 1.1× 21 2.7k
Christian Stehlik United States 43 4.1k 1.5× 2.5k 1.6× 478 0.8× 454 1.0× 746 1.7× 70 5.5k
Antoine Attinger Switzerland 16 1.8k 0.7× 1.6k 1.0× 620 1.0× 411 0.9× 324 0.8× 27 3.3k
Gregory I. Vladimer Austria 15 3.1k 1.1× 2.2k 1.5× 871 1.4× 187 0.4× 252 0.6× 28 4.6k
Kate Welsh United States 35 4.1k 1.5× 1.5k 1.0× 630 1.0× 1.0k 2.3× 863 2.0× 51 5.3k
Marsha Penman United States 19 1.4k 0.5× 1.2k 0.8× 466 0.8× 504 1.1× 496 1.2× 23 3.6k

Countries citing papers authored by David Moquin

Since Specialization
Citations

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

Fields of papers citing papers by David Moquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Moquin

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

All Works

8 of 8 papers shown
1.
Moquin, David, Marie‐Michelle Genois, Jiamin Zhang, et al.. (2018). Localized protein biotinylation at DNA damage sites identifies ZPET, a repressor of homologous recombination. Genes & Development. 33(1-2). 75–89. 18 indexed citations
2.
Moquin, David & Francis Ka-Ming Chan. (2018). Loss-of-Function RNAi Screen to Identify Necrosis-Signaling Molecules. Methods in molecular biology. 1857. 11–18. 1 indexed citations
3.
Moquin, David, Thomas J. McQuade, & Francis Ka-Ming Chan. (2013). CYLD Deubiquitinates RIP1 in the TNFα-Induced Necrosome to Facilitate Kinase Activation and Programmed Necrosis. PLoS ONE. 8(10). e76841–e76841. 263 indexed citations
4.
Li, Jixi, Thomas J. McQuade, Ansgar B. Siemer, et al.. (2012). The RIP1/RIP3 Necrosome Forms a Functional Amyloid Signaling Complex Required for Programmed Necrosis. Cell. 150(2). 339–350. 947 indexed citations breakdown →
5.
Moquin, David & Francis Ka-Ming Chan. (2010). The molecular regulation of programmed necrotic cell injury. Trends in Biochemical Sciences. 35(8). 434–441. 121 indexed citations
6.
Challa, Sreerupa, et al.. (2010). Viral Cell Death Inhibitor MC159 Enhances Innate Immunity against Vaccinia Virus Infection. Journal of Virology. 84(20). 10467–10476. 26 indexed citations
7.
Challa, Sreerupa, David Moquin, Ryan M. Genga, et al.. (2009). Phosphorylation-Driven Assembly of the RIP1-RIP3 Complex Regulates Programmed Necrosis and Virus-Induced Inflammation. Cell. 137(6). 1112–1123. 1915 indexed citations breakdown →
8.
Dienz, Oliver, Sheri M. Eaton, Jeffrey P. Bond, et al.. (2009). The induction of antibody production by IL-6 is indirectly mediated by IL-21 produced by CD4+ T cells. The Journal of Experimental Medicine. 206(1). 69–78. 340 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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