Andrea Ablasser

19.2k total citations · 15 hit papers
46 papers, 14.1k citations indexed

About

Andrea Ablasser is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Andrea Ablasser has authored 46 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 23 papers in Molecular Biology and 13 papers in Infectious Diseases. Recurrent topics in Andrea Ablasser's work include interferon and immune responses (36 papers), Immune Response and Inflammation (22 papers) and Inflammasome and immune disorders (14 papers). Andrea Ablasser is often cited by papers focused on interferon and immune responses (36 papers), Immune Response and Inflammation (22 papers) and Inflammasome and immune disorders (14 papers). Andrea Ablasser collaborates with scholars based in Switzerland, Germany and United States. Andrea Ablasser's co-authors include Veit Hornung, Eicke Latz, Alexiane Decout, Franz Bauernfeind, Katherine A. Fitzgerald, Zhijian J. Chen, Shankar Venkatraman, Jason D. Katz, Gábor Horváth and Karl‐Peter Hopfner and has published in prestigious journals such as Nature, Science and Nature Medicine.

In The Last Decade

Andrea Ablasser

46 papers receiving 14.0k citations

Hit Papers

AIM2 recognizes cytosolic dsDNA and forms a caspase-1-act... 2005 2026 2012 2019 2009 2021 2013 2005 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Ablasser Switzerland 33 10.3k 8.2k 3.0k 1.6k 1.3k 46 14.1k
Fenghe Du United States 25 10.3k 1.0× 10.7k 1.3× 3.3k 1.1× 2.7k 1.7× 2.0k 1.5× 43 17.3k
Hong‐Bing Shu China 67 9.8k 1.0× 8.1k 1.0× 2.0k 0.7× 1.9k 1.2× 2.0k 1.6× 188 15.0k
Lijun Sun United States 33 16.2k 1.6× 10.0k 1.2× 4.6k 1.5× 3.0k 1.9× 2.4k 1.9× 64 20.6k
Winfried Barchet Germany 46 8.5k 0.8× 4.1k 0.5× 2.0k 0.7× 1.6k 1.1× 1.2k 0.9× 69 11.0k
Ganes C. Sen United States 72 9.7k 0.9× 7.6k 0.9× 2.6k 0.9× 3.3k 2.1× 3.1k 2.4× 245 17.4k
Hideyuki Yanai Japan 36 9.1k 0.9× 3.5k 0.4× 1.2k 0.4× 2.1k 1.3× 2.4k 1.8× 69 12.3k
Falk Nimmerjahn Germany 61 10.4k 1.0× 7.2k 0.9× 1.2k 0.4× 1.7k 1.1× 1.7k 1.3× 205 18.2k
Olaf Groß Germany 34 5.0k 0.5× 4.2k 0.5× 1.8k 0.6× 1.9k 1.2× 589 0.5× 71 9.1k
Akinori Takaoka Japan 45 11.6k 1.1× 5.8k 0.7× 1.7k 0.6× 2.7k 1.7× 4.8k 3.8× 91 17.6k

Countries citing papers authored by Andrea Ablasser

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Ablasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Ablasser

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Ablasser. A scholar is included among the top collaborators of Andrea Ablasser 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 Andrea Ablasser. Andrea Ablasser 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.
Gülen, Muhammet F., Alexander Keller, Marius Schwabenland, et al.. (2023). cGAS–STING drives ageing-related inflammation and neurodegeneration. Nature. 620(7973). 374–380. 500 indexed citations breakdown →
2.
Liu, Ying, Pengbiao Xu, Chong Liu, et al.. (2022). Clathrin-associated AP-1 controls termination of STING signalling. Nature. 610(7933). 761–767. 99 indexed citations
3.
Domizio, Jérémy Di, Muhammet F. Gülen, Fanny Saidoune, et al.. (2022). The cGAS–STING pathway drives type I IFN immunopathology in COVID-19. Nature. 603(7899). 145–151. 371 indexed citations breakdown →
4.
Guey, Baptiste & Andrea Ablasser. (2022). Emerging dimensions of cellular cGAS-STING signaling. Current Opinion in Immunology. 74. 164–171. 21 indexed citations
5.
Engels, Sander, Anja J. de Jong, Katka Franke, et al.. (2021). m6A methylation potentiates cytosolic dsDNA recognition in a sequence-specific manner. Open Biology. 11(3). 210030–210030. 11 indexed citations
6.
Guey, Baptiste, Alexiane Decout, Kristina Makasheva, et al.. (2020). BAF restricts cGAS on nuclear DNA to prevent innate immune activation. Science. 369(6505). 823–828. 139 indexed citations
7.
Pathare, G.R., Alexiane Decout, Simone Cavadini, et al.. (2020). Structural mechanism of cGAS inhibition by the nucleosome. Nature. 587(7835). 668–672. 192 indexed citations
8.
Ablasser, Andrea & Sun Hur. (2019). Regulation of cGAS- and RLR-mediated immunity to nucleic acids. Nature Immunology. 21(1). 17–29. 240 indexed citations
9.
Ablasser, Andrea, et al.. (2018). Innate immunosensing of DNA in cellular senescence. Current Opinion in Immunology. 56. 31–36. 49 indexed citations
10.
Haag, Simone M., Muhammet F. Gülen, Luc Reymond, et al.. (2018). Targeting STING with covalent small-molecule inhibitors. Nature. 559(7713). 269–273. 788 indexed citations breakdown →
11.
Gülen, Muhammet F., Ute Koch, Simone M. Haag, et al.. (2017). Signalling strength determines proapoptotic functions of STING. Nature Communications. 8(1). 427–427. 376 indexed citations breakdown →
12.
Guey, Baptiste, Muhammet F. Gülen, Katharina Wolter, et al.. (2017). Innate immune sensing of cytosolic chromatin fragments through cGAS promotes senescence. Nature Cell Biology. 19(9). 1061–1070. 831 indexed citations breakdown →
13.
Ablasser, Andrea & Muhammet F. Gülen. (2016). The role of cGAS in innate immunity and beyond. Journal of Molecular Medicine. 94(10). 1085–1093. 42 indexed citations
14.
Cavlar, Taner, Tobias Deimling, Andrea Ablasser, Karl‐Peter Hopfner, & Veit Hornung. (2013). Species‐specific detection of the antiviral small‐molecule compound CMA by STING. The EMBO Journal. 32(10). 1440–1450. 171 indexed citations
15.
Ablasser, Andrea, Marion Goldeck, Taner Cavlar, et al.. (2013). cGAS produces a 2′-5′-linked cyclic dinucleotide second messenger that activates STING. Nature. 498(7454). 380–384. 1268 indexed citations breakdown →
16.
Ablasser, Andrea, Jonathan L. Schmid‐Burgk, Gábor Horváth, et al.. (2013). Cell intrinsic immunity spreads to bystander cells via the intercellular transfer of cGAMP. Nature. 503(7477). 530–534. 503 indexed citations breakdown →
17.
Kim-Hellmuth, Sarah, Franz Bauernfeind, Andrea Ablasser, et al.. (2010). Listeria monocytogenes is sensed by the NLRP3 and AIM2 inflammasome. European Journal of Immunology. 40(6). 1545–1551. 210 indexed citations
18.
Ablasser, Andrea, Hendrik Poeck, David Anz, et al.. (2009). Selection of Molecular Structure and Delivery of RNA Oligonucleotides to Activate TLR7 versus TLR8 and to Induce High Amounts of IL-12p70 in Primary Human Monocytes. The Journal of Immunology. 182(11). 6824–6833. 83 indexed citations
19.
Hornung, Veit, Andrea Ablasser, Marie Charrel-Dennis, et al.. (2009). AIM2 recognizes cytosolic dsDNA and forms a caspase-1-activating inflammasome with ASC. Nature. 458(7237). 514–518. 2049 indexed citations breakdown →
20.
Bekeredjian‐Ding, Isabelle, Susanne Roth, Stefanie Gilles, et al.. (2006). T Cell-Independent, TLR-Induced IL-12p70 Production in Primary Human Monocytes. The Journal of Immunology. 176(12). 7438–7446. 89 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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