Karl‐Peter Hopfner

23.6k total citations · 5 hit papers
177 papers, 17.1k citations indexed

About

Karl‐Peter Hopfner is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Karl‐Peter Hopfner has authored 177 papers receiving a total of 17.1k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Molecular Biology, 53 papers in Immunology and 32 papers in Oncology. Recurrent topics in Karl‐Peter Hopfner's work include DNA Repair Mechanisms (52 papers), interferon and immune responses (34 papers) and Genomics and Chromatin Dynamics (33 papers). Karl‐Peter Hopfner is often cited by papers focused on DNA Repair Mechanisms (52 papers), interferon and immune responses (34 papers) and Genomics and Chromatin Dynamics (33 papers). Karl‐Peter Hopfner collaborates with scholars based in Germany, United States and Switzerland. Karl‐Peter Hopfner's co-authors include Veit Hornung, Gregor Witte, Annette Kärcher, Andrea Ablasser, John A. Tainer, Tobias Deimling, Katja Lammens, James P. Carney, Katharina Büttner and Lisa Craig and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Karl‐Peter Hopfner

176 papers receiving 17.0k citations

Hit Papers

Molecular mechanisms and ... 2000 2026 2008 2017 2020 2013 2000 2013 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl‐Peter Hopfner Germany 64 11.3k 6.9k 2.4k 2.2k 1.4k 177 17.1k
B. Matija Peterlin United States 72 8.3k 0.7× 5.1k 0.7× 1.4k 0.6× 3.6k 1.6× 1.2k 0.8× 188 15.8k
Robert Liddington United States 66 9.4k 0.8× 2.8k 0.4× 1.3k 0.5× 1.3k 0.6× 2.1k 1.4× 145 18.1k
Charles E. Samuel United States 64 9.2k 0.8× 5.7k 0.8× 1.8k 0.7× 2.3k 1.1× 1.9k 1.3× 214 15.6k
Ara G. Hovanessian France 66 8.2k 0.7× 5.4k 0.8× 2.0k 0.8× 1.6k 0.7× 1.2k 0.9× 205 13.5k
Philip D. Stahl United States 78 12.6k 1.1× 4.8k 0.7× 1.0k 0.4× 952 0.4× 948 0.7× 226 20.1k
Jacques Neefjes Netherlands 91 13.5k 1.2× 13.9k 2.0× 5.5k 2.3× 1.1k 0.5× 1.8k 1.3× 339 29.6k
Kuan‐Teh Jeang United States 64 7.2k 0.6× 4.8k 0.7× 1.5k 0.6× 1.7k 0.8× 841 0.6× 213 13.3k
Matthew Bogyo United States 80 12.0k 1.1× 2.9k 0.4× 4.7k 1.9× 1.1k 0.5× 885 0.6× 300 21.5k
Thijn R. Brummelkamp Netherlands 59 15.8k 1.4× 2.8k 0.4× 3.4k 1.4× 2.0k 0.9× 2.7k 1.9× 100 21.5k
Michael B. Mathews United States 71 14.5k 1.3× 2.6k 0.4× 2.3k 0.9× 1.7k 0.8× 4.6k 3.2× 195 19.1k

Countries citing papers authored by Karl‐Peter Hopfner

Since Specialization
Citations

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

Fields of papers citing papers by Karl‐Peter Hopfner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl‐Peter Hopfner. 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 Karl‐Peter Hopfner. The network helps show where Karl‐Peter Hopfner may publish in the future.

Co-authorship network of co-authors of Karl‐Peter Hopfner

This figure shows the co-authorship network connecting the top 25 collaborators of Karl‐Peter Hopfner. A scholar is included among the top collaborators of Karl‐Peter Hopfner 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 Karl‐Peter Hopfner. Karl‐Peter Hopfner 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.
Ma, Junfei, et al.. (2024). Structural basis for human OGG1 processing 8-oxodGuo within nucleosome core particles. Nature Communications. 15(1). 9407–9407. 7 indexed citations
2.
Kugler, Michaël, et al.. (2024). Phosphorylation-mediated conformational change regulates human SLFN11. Nature Communications. 15(1). 10500–10500. 6 indexed citations
3.
Drexler, David, et al.. (2022). Chemical Synthesis of the Fluorescent, Cyclic Dinucleotides cthGAMP. ChemBioChem. 23(8). e202200005–e202200005. 4 indexed citations
4.
Böhmer, Daniel, David Drexler, Stefan Bauernfried, et al.. (2022). Novel Poxin Stable cGAMP‐Derivatives Are Remarkable STING Agonists. Angewandte Chemie International Edition. 61(40). e202207175–e202207175. 21 indexed citations
5.
Seeholzer, Thomas, Ambroise Desfosses, Torben Gehring, et al.. (2018). Molecular architecture and regulation of BCL10-MALT1 filaments. Nature Communications. 9(1). 4041–4041. 49 indexed citations
6.
Lammens, Katja, et al.. (2016). Structural mechanism of ATP ‐dependent DNA binding and DNA end bridging by eukaryotic Rad50. The EMBO Journal. 35(7). 759–772. 78 indexed citations
7.
Rojowska, Anna, et al.. (2014). Structure of the Rad50 DNA double‐strand break repair protein in complex with DNA. The EMBO Journal. 33(23). 2847–2859. 57 indexed citations
8.
Mankan, Arun K., Tobias Schmidt, Dhruv Chauhan, et al.. (2014). Cytosolic RNA:DNA hybrids activate the cGAS –STING axis. The EMBO Journal. 33(24). 2937–2946. 259 indexed citations
9.
Roth, Susanne, Andrea Rottach, Amelie S. Lotz‐Havla, et al.. (2014). Rad50-CARD9 interactions link cytosolic DNA sensing to IL-1β production. Nature Immunology. 15(6). 538–545. 117 indexed citations
10.
Linke, Christian, et al.. (2014). Structural Studies of DNA End Detection and Resection in Homologous Recombination. Cold Spring Harbor Perspectives in Biology. 6(10). a017962–a017962. 22 indexed citations
11.
Motz, C., Axel Kirchhofer, Manuela Moldt, et al.. (2013). Paramyxovirus V Proteins Disrupt the Fold of the RNA Sensor MDA5 to Inhibit Antiviral Signaling. Science. 339(6120). 690–693. 102 indexed citations
12.
Haas, Caroline, Franz Herzog, Otto Berninghausen, et al.. (2013). Structure and Subunit Topology of the INO80 Chromatin Remodeler and Its Nucleosome Complex. Cell. 154(6). 1207–1219. 182 indexed citations
13.
Cui, Sheng, Ramya Viswanathan, Otto Berninghausen, et al.. (2011). Structure and mechanism of the Swi2/Snf2 remodeller Mot1 in complex with its substrate TBP. Nature. 475(7356). 403–407. 60 indexed citations
14.
Hartung, Sophia, et al.. (2011). Processive RNA decay by the exosome. RNA Biology. 8(1). 55–60. 4 indexed citations
15.
Lammens, Alfred & Karl‐Peter Hopfner. (2010). Structural Basis for Adenylate Kinase Activity in ABC ATPases. Journal of Molecular Biology. 401(2). 265–273. 8 indexed citations
16.
Schmidt, Andreas, Tobias Schwerd, Johannes C. Hellmuth, et al.. (2009). 5′-triphosphate RNA requires base-paired structures to activate antiviral signaling via RIG-I. Proceedings of the National Academy of Sciences. 106(29). 12067–12072. 325 indexed citations
17.
Pippig, Diana A., Johannes C. Hellmuth, Sheng Cui, et al.. (2009). The regulatory domain of the RIG-I family ATPase LGP2 senses double-stranded RNA. Nucleic Acids Research. 37(6). 2014–2025. 124 indexed citations
18.
Gack, Michaela U., Axel Kirchhofer, Young C. Shin, et al.. (2008). Roles of RIG-I N-terminal tandem CARD and splice variant in TRIM25-mediated antiviral signal transduction. Proceedings of the National Academy of Sciences. 105(43). 16743–16748. 215 indexed citations
19.
Alt, Aaron, Katja Lammens, Claudia Chiocchini, et al.. (2007). Bypass of DNA Lesions Generated During Anticancer Treatment with Cisplatin by DNA Polymerase η. Science. 318(5852). 967–970. 172 indexed citations
20.
Büttner, Katharina, Katja Wenig, & Karl‐Peter Hopfner. (2005). Structural Framework for the Mechanism of Archaeal Exosomes in RNA Processing. Molecular Cell. 20(3). 461–471. 134 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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