Bert Klebl

6.3k total citations · 1 hit paper
71 papers, 3.4k citations indexed

About

Bert Klebl is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Bert Klebl has authored 71 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 21 papers in Oncology and 15 papers in Epidemiology. Recurrent topics in Bert Klebl's work include Cancer-related Molecular Pathways (7 papers), Cytomegalovirus and herpesvirus research (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Bert Klebl is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Cytomegalovirus and herpesvirus research (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Bert Klebl collaborates with scholars based in Germany, United States and Norway. Bert Klebl's co-authors include Anil Koul, Jan Eickhoff, Axel Ullrich, Thomas Herget, Gerhard Müller, Axel Choidas, Peter Habenberger, Anne Walburger, Liem Nguyen and Giorgio Ferrari and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Bert Klebl

70 papers receiving 3.4k citations

Hit Papers

Gasdermin D plays a vital... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bert Klebl 2.1k 708 692 661 402 71 3.4k
Xin Hu 1.5k 0.7× 512 0.7× 743 1.1× 490 0.7× 272 0.7× 109 3.5k
Zhe Zhou 2.2k 1.0× 867 1.2× 570 0.8× 354 0.5× 188 0.5× 106 4.3k
David A. Ostrov 1.9k 0.9× 656 0.9× 1.0k 1.5× 430 0.7× 737 1.8× 141 5.1k
Yuji Sato 1.6k 0.8× 336 0.5× 664 1.0× 863 1.3× 409 1.0× 96 4.1k
Scott J. Snipas 2.8k 1.4× 344 0.5× 841 1.2× 467 0.7× 615 1.5× 58 4.0k
Torsten Steinmetzer 1.5k 0.7× 1.1k 1.6× 428 0.6× 630 1.0× 525 1.3× 137 3.8k
Yoshimasa Uehara 2.4k 1.2× 645 0.9× 427 0.6× 586 0.9× 828 2.1× 126 4.3k
Paul Brennan 2.8k 1.4× 827 1.2× 1.6k 2.2× 1.1k 1.7× 1.0k 2.6× 95 5.5k
Erguang Li 2.0k 0.9× 270 0.4× 849 1.2× 526 0.8× 551 1.4× 87 3.9k
Kailin Yang 2.2k 1.0× 794 1.1× 293 0.4× 336 0.5× 663 1.6× 72 3.6k

Countries citing papers authored by Bert Klebl

Since Specialization
Citations

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

Fields of papers citing papers by Bert Klebl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bert Klebl

This figure shows the co-authorship network connecting the top 25 collaborators of Bert Klebl. A scholar is included among the top collaborators of Bert Klebl 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 Bert Klebl. Bert Klebl 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
2.
Wagner, Sabrina, Martin Schütz, Jaeseung Kim, et al.. (2024). An Antiherpesviral Host-Directed Strategy Based on CDK7 Covalently Binding Drugs: Target-Selective, Picomolar-Dose, Cross-Virus Reactivity. Pharmaceutics. 16(2). 158–158. 6 indexed citations
3.
Tillmanns, Julia, Eva Maria Borst, Jan Eickhoff, et al.. (2023). Assessment of Covalently Binding Warhead Compounds in the Validation of the Cytomegalovirus Nuclear Egress Complex as an Antiviral Target. Cells. 12(8). 1162–1162. 8 indexed citations
4.
Rückert, Christian, Tobias Busche, Alexander Wolf, et al.. (2023). Characterization of the Antibacterial Activity of Quinone-Based Compounds Originating from the Alnumycin Biosynthetic Gene Cluster of a Streptomyces Isolate. Antibiotics. 12(7). 1116–1116. 3 indexed citations
5.
Andrei, Sebastian A., Yusuke Higuchi, Nobuo Kato, et al.. (2023). IFNα primes cancer cells for Fusicoccin-induced cell death via 14-3-3 PPI stabilization. Cell chemical biology. 30(6). 573–590.e6. 12 indexed citations
6.
Molin, Michael Dal, Vikram Pareek, Uwe Koch, et al.. (2023). A Reinvestigation of the Role of the Sorbic Acid Tail on the Antibacterial and Anti‐Tuberculosis Properties of Moiramide B. ChemMedChem. 18(11). e202200631–e202200631. 2 indexed citations
7.
Dahl, Edgar, et al.. (2022). White Paper: Mimetics of Class 2 Tumor Suppressor Proteins as Novel Drug Candidates for Personalized Cancer Therapy. Cancers. 14(18). 4386–4386. 12 indexed citations
8.
Meijer, Femke A., Richard G. Doveston, Anke Unger, et al.. (2021). Structure–Activity Relationship Studies of Trisubstituted Isoxazoles as Selective Allosteric Ligands for the Retinoic-Acid-Receptor-Related Orphan Receptor γt. Journal of Medicinal Chemistry. 64(13). 9238–9258. 9 indexed citations
9.
Andersen, Jeanette H., Annette Bayer, Kåre B. Jørgensen, et al.. (2019). Kinase Chemodiversity from the Arctic: The Breitfussins. Journal of Medicinal Chemistry. 62(22). 10167–10181. 25 indexed citations
10.
Vetter, Ingrid R., Patricia Stege, Farnusch Kaschani, et al.. (2018). Identification of Noncatalytic Lysine Residues from Allosteric Circuits via Covalent Probes. ACS Chemical Biology. 13(5). 1307–1312. 8 indexed citations
11.
Sollberger, Gabriel, Axel Choidas, Garth L. Burn, et al.. (2018). Gasdermin D plays a vital role in the generation of neutrophil extracellular traps. Science Immunology. 3(26). 571 indexed citations breakdown →
12.
Klebl, Bert, Gerhard Müller, & Michael Hamacher. (2011). Protein kinases as drug targets. Wiley-VCH eBooks. 15 indexed citations
13.
Klebl, Bert, et al.. (2010). A Flexible Multiwell Format for Immunofluorescence Screening Microscopy of Small-Molecule Inhibitors. Assay and Drug Development Technologies. 8(5). 571–580. 2 indexed citations
14.
Mayer, Günter, Christian D. Huber, Lars Neumann, et al.. (2008). An RNA molecule that specifically inhibits G-protein-coupled receptor kinase 2 in vitro. RNA. 14(3). 524–534. 45 indexed citations
15.
Eisele, Yvonne S., et al.. (2007). Gleevec Increases Levels of the Amyloid Precursor Protein Intracellular Domain and of the Amyloid-β–degrading Enzyme Neprilysin. Molecular Biology of the Cell. 18(9). 3591–3600. 47 indexed citations
16.
Brehmer, Dirk, Zoltán Greff, Klaus Godl, et al.. (2005). Cellular Targets of Gefitinib. Cancer Research. 65(2). 379–382. 199 indexed citations
17.
Walburger, Anne, Anil Koul, Giorgio Ferrari, et al.. (2004). Protein Kinase G from Pathogenic Mycobacteria Promotes Survival Within Macrophages. Science. 304(5678). 1800–1804. 451 indexed citations
18.
Daub, Henrik, Klaus Godl, Dirk Brehmer, Bert Klebl, & Gerhard Müller. (2004). Evaluation of Kinase Inhibitor Selectivity by Chemical Proteomics. Assay and Drug Development Technologies. 2(2). 215–224. 33 indexed citations
19.
Bevec, Dorian, et al.. (2004). Screening Assay for the Identification of Deoxyhypusine Synthase Inhibitors. SLAS DISCOVERY. 9(5). 434–438. 16 indexed citations
20.
Klebl, Bert, Detlef Kozian, Ekkehard Leberer, & Maria A. Kukuruzinska. (2001). A Comprehensive Analysis of Gene Expression Profiles in a Yeast N-Glycosylation Mutant. Biochemical and Biophysical Research Communications. 286(4). 714–720. 11 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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