Klaus‐Peter Knobeloch

9.4k total citations · 1 hit paper
78 papers, 5.3k citations indexed

About

Klaus‐Peter Knobeloch is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Klaus‐Peter Knobeloch has authored 78 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Immunology, 45 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in Klaus‐Peter Knobeloch's work include interferon and immune responses (39 papers), Ubiquitin and proteasome pathways (19 papers) and Immunotherapy and Immune Responses (14 papers). Klaus‐Peter Knobeloch is often cited by papers focused on interferon and immune responses (39 papers), Ubiquitin and proteasome pathways (19 papers) and Immunotherapy and Immune Responses (14 papers). Klaus‐Peter Knobeloch collaborates with scholars based in Germany, United States and Switzerland. Klaus‐Peter Knobeloch's co-authors include Ivan D. Horak, Marco Prinz, E Rohde, Anja Basters, Jürgen Löhler, Olaf Utermöhlen, Sandra Niendorf, Frank Rosenbauer, Rolf M. Zinkernagel and G. Fritz and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Klaus‐Peter Knobeloch

73 papers receiving 5.2k citations

Hit Papers

Immunodeficiency and Chronic Myelogenous Leukemia-like Sy... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers

Klaus‐Peter Knobeloch
Tal Shay Israel
Ted Yednock United States
Peter N. Monk United Kingdom
Craig M. Walsh United States
George Kassiotis United Kingdom
Susan R. Schwab United States
Klaus‐Peter Knobeloch
Citations per year, relative to Klaus‐Peter Knobeloch Klaus‐Peter Knobeloch (= 1×) peers Michel Aurrand‐Lions

Countries citing papers authored by Klaus‐Peter Knobeloch

Since Specialization
Citations

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

Fields of papers citing papers by Klaus‐Peter Knobeloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus‐Peter Knobeloch

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus‐Peter Knobeloch. A scholar is included among the top collaborators of Klaus‐Peter Knobeloch 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 Klaus‐Peter Knobeloch. Klaus‐Peter Knobeloch 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.
Zhang, Qimin, Shan Huang, Weiwei Wang, et al.. (2025). USP8‐Governed MDA5 Homeostasis Promotes Innate Immunity and Autoimmunity. Advanced Science. 12(34). e03865–e03865. 2 indexed citations
2.
Kooij, Raymond, Gan Jin, Ayşegül Sapmaz, et al.. (2025). High‐Throughput Synthesis and Screening of a Cyanimide Library Identifies Selective Inhibitors of ISG15‐Specific Protease mUSP18. Angewandte Chemie International Edition. 64(49). e202510941–e202510941.
3.
Knobeloch, Klaus‐Peter, et al.. (2024). In the moonlight: non-catalytic functions of ubiquitin and ubiquitin-like proteases. Frontiers in Molecular Biosciences. 11. 1349509–1349509. 4 indexed citations
4.
Marongiu, Luigi, Natalia Ruétalo, Christian Leischner, et al.. (2023). Compounds derived from Humulus lupulus inhibit SARS-CoV-2 papain-like protease and virus replication. Phytomedicine. 123. 155176–155176. 4 indexed citations
5.
Faust, Travis E., Philip A. Feinberg, Christopher M. O’Connor, et al.. (2023). A comparative analysis of microglial inducible Cre lines. Cell Reports. 42(9). 113031–113031. 41 indexed citations
6.
Hess, Sandra, et al.. (2021). SCF Fbxw5 targets kinesin‐13 proteins to facilitate ciliogenesis. The EMBO Journal. 40(18). e107735–e107735. 10 indexed citations
7.
Fan, Jun-Bao, Sayuri Miyauchi, Huizhong Xu, et al.. (2020). Type I Interferon Regulates a Coordinated Gene Network to Enhance Cytotoxic T Cell–Mediated Tumor Killing. Cancer Discovery. 10(3). 382–393. 42 indexed citations
8.
Masuda, Takahiro, Lukas Amann, Roman Sankowski, et al.. (2020). Novel Hexb-based tools for studying microglia in the CNS. Nature Immunology. 21(7). 802–815. 210 indexed citations
9.
Zhang, Yifeng, Fabien Théry, Nicholas C. Wu, et al.. (2019). The in vivo ISGylome links ISG15 to metabolic pathways and autophagy upon Listeria monocytogenes infection. Nature Communications. 10(1). 5383–5383. 63 indexed citations
10.
Xin, Bo‐Tao, Gan Jin, Daniel J. Fernandez, et al.. (2019). Total chemical synthesis of murine ISG15 and an activity-based probe with physiological binding properties. Organic & Biomolecular Chemistry. 17(48). 10148–10152. 12 indexed citations
11.
Curato, Caterina, Biana Bernshtein, Eva Zupančič, et al.. (2019). DC Respond to Cognate T Cell Interaction in the Antigen-Challenged Lymph Node. Frontiers in Immunology. 10. 863–863. 17 indexed citations
12.
Basters, Anja, Paul P. Geurink, Annika Röcker, et al.. (2017). Structural basis of the specificity of USP18 toward ISG15. Nature Structural & Molecular Biology. 24(3). 270–278. 89 indexed citations
13.
Skroblin, Philipp, et al.. (2015). The A-kinase Anchoring Protein GSKIP Regulates GSK3β Activity and Controls Palatal Shelf Fusion in Mice. Journal of Biological Chemistry. 291(2). 681–690. 12 indexed citations
14.
Basters, Anja, Paul P. Geurink, Farid El Oualid, et al.. (2014). Molecular characterization of ubiquitin‐specific protease 18 reveals substrate specificity for interferon‐stimulated gene 15. FEBS Journal. 281(7). 1918–1928. 43 indexed citations
15.
Zeller, Nicolas, Geert Loo, Doron Merkler, et al.. (2011). IκB kinase 2 determines oligodendrocyte loss by non-cell-autonomous activation of NF-κB in the central nervous system. Brain. 134(4). 1184–1198. 84 indexed citations
16.
Prinz, Marco, Hauke Schmidt, Alexander Mildner, et al.. (2008). Distinct and Nonredundant In Vivo Functions of IFNAR on Myeloid Cells Limit Autoimmunity in the Central Nervous System. Immunity. 28(5). 675–686. 318 indexed citations
17.
Lenschow, Deborah J., Natalia Frias‐Staheli, Nadia V. Giannakopoulos, et al.. (2007). IFN-stimulated gene 15 functions as a critical antiviral molecule against influenza, herpes, and Sindbis viruses. Proceedings of the National Academy of Sciences. 104(4). 1371–1376. 436 indexed citations
18.
Fischer, Andreas, Christian Steidl, Toni U. Wagner, et al.. (2007). Combined Loss of Hey1 and HeyL Causes Congenital Heart Defects Because of Impaired Epithelial to Mesenchymal Transition. Circulation Research. 100(6). 856–863. 138 indexed citations
19.
Spriel, Annemiek B. van, Mariam Sofi, Dodie Pouniotis, et al.. (2004). A Regulatory Role for CD37 in T Cell Proliferation. The Journal of Immunology. 172(5). 2953–2961. 100 indexed citations
20.
Löhler, Jürgen, Yuka Kanno, Thomas Fehr, et al.. (1996). Immunodeficiency and Chronic Myelogenous Leukemia-like Syndrome in Mice with a Targeted Mutation of the ICSBP Gene. Cell. 87(2). 307–317. 547 indexed citations breakdown →

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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