Lars Kaderali

7.7k total citations
132 papers, 3.5k citations indexed

About

Lars Kaderali is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Lars Kaderali has authored 132 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 25 papers in Epidemiology and 24 papers in Hepatology. Recurrent topics in Lars Kaderali's work include Hepatitis C virus research (24 papers), Hepatitis B Virus Studies (14 papers) and HIV Research and Treatment (13 papers). Lars Kaderali is often cited by papers focused on Hepatitis C virus research (24 papers), Hepatitis B Virus Studies (14 papers) and HIV Research and Treatment (13 papers). Lars Kaderali collaborates with scholars based in Germany, United States and France. Lars Kaderali's co-authors include Ralf Bartenschlager, Volker Lohmann, Thomas Pietschmann, Alexander Schliep, Marco Binder, Marcus Vollmer, Carolin Zitzmann, Anne Frentzen, Sibylle Haid and Gabrielle Vièyres and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Lars Kaderali

128 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Kaderali Germany 35 1.5k 765 718 480 460 132 3.5k
Andrew Macdonald United Kingdom 36 1.3k 0.9× 1.2k 1.6× 750 1.0× 432 0.9× 654 1.4× 103 4.0k
Xiaonan Zhang China 29 778 0.5× 1.3k 1.7× 938 1.3× 477 1.0× 422 0.9× 100 2.6k
Liguo Zhang China 37 1.2k 0.8× 930 1.2× 514 0.7× 522 1.1× 1.4k 3.0× 187 4.1k
Renzo Boldorini Italy 37 911 0.6× 770 1.0× 335 0.5× 646 1.3× 562 1.2× 242 5.3k
Michael Schmidt Germany 33 866 0.6× 931 1.2× 434 0.6× 593 1.2× 694 1.5× 144 4.0k
Thomas von Hahn Germany 32 1.0k 0.7× 2.0k 2.6× 2.2k 3.0× 717 1.5× 431 0.9× 105 4.5k
Keigo Machida United States 39 1.8k 1.2× 1.9k 2.5× 1.5k 2.1× 276 0.6× 722 1.6× 88 4.7k
Marcus J. Korth United States 36 1.7k 1.1× 2.1k 2.8× 1.3k 1.8× 1.2k 2.5× 1.7k 3.8× 63 5.6k
Vaithilingaraja Arumugaswami United States 27 688 0.5× 688 0.9× 200 0.3× 863 1.8× 346 0.8× 87 2.5k

Countries citing papers authored by Lars Kaderali

Since Specialization
Citations

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

Fields of papers citing papers by Lars Kaderali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Kaderali

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Kaderali. A scholar is included among the top collaborators of Lars Kaderali 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 Lars Kaderali. Lars Kaderali 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.
Vollmer, Marcus, Günter Köhler, Julia Caroline Radosa, et al.. (2025). Validation of biomarkers and clinical scores for the detection of uterine leiomyosarcoma: a case-control study with an update of pLMS. BMC Cancer. 25(1). 33–33. 1 indexed citations
2.
Stürmer, Martin, Johanna Klinger-König, Marcus Vollmer, et al.. (2025). Long-term alteration of heart rate variability following childhood maltreatment: Results of a general population study. European Psychiatry. 68(1). e86–e86.
3.
Simm, Stefan, et al.. (2024). DiscovEpi: automated whole proteome MHC-I-epitope prediction and visualization. BMC Bioinformatics. 25(1). 310–310. 2 indexed citations
4.
Oldenburg, Jan, Lars Kaderali, Henry Völzke, et al.. (2024). XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets. Biomolecules. 14(12). 1501–1501. 2 indexed citations
5.
Burkart, Sandy S., Jamie Frankish, Christian Urban, et al.. (2023). High-resolution kinetic characterization of the RIG-I-signaling pathway and the antiviral response. Life Science Alliance. 6(10). e202302059–e202302059. 6 indexed citations
6.
Dächert, Christopher, Gaia Lupoli, Maximilian Muenchhoff, et al.. (2023). Ten rapid antigen tests for SARS-CoV-2 widely differ in their ability to detect Omicron-BA.4 and -BA.5. Medical Microbiology and Immunology. 212(5). 323–337. 4 indexed citations
7.
Köhler, Christian, Jacqueline King, Anne Pohlmann, et al.. (2023). Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022. Emerging Microbes & Infections. 12(2). 2245916–2245916. 2 indexed citations
8.
Vollmer, Marcus, Katharina Wittfeld, Antoine Weihs, et al.. (2023). Evaluating heart rate variability with 10 second multichannel electrocardiograms in a large population-based sample. Frontiers in Cardiovascular Medicine. 10. 1144191–1144191. 2 indexed citations
9.
Schönborn, Linda, Thomas Thiele, Jan Wesche, et al.. (2022). Quantitative interpretation of PF4/heparin‐EIA optical densities in predicting platelet‐activating VITT antibodies. Journal of Thrombosis and Haemostasis. 20(11). 2579–2586. 14 indexed citations
10.
Becker, Ann‐Kristin, Till Ittermann, Marcus Dörr, et al.. (2022). Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks. PLoS ONE. 17(7). e0271610–e0271610. 1 indexed citations
11.
Osterman, Andreas, Marcel Stern, Maximilian Muenchhoff, et al.. (2021). Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern. Medical Microbiology and Immunology. 210(5-6). 263–275. 40 indexed citations
12.
Becker, Ann‐Kristin, Marcus Dörr, Stephan B. Felix, et al.. (2021). From heterogeneous healthcare data to disease-specific biomarker networks: A hierarchical Bayesian network approach. PLoS Computational Biology. 17(2). e1008735–e1008735. 11 indexed citations
13.
Dächert, Christopher, Martijn J. van Hemert, Ali Taş, et al.. (2020). Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation. PLoS Computational Biology. 16(2). e1007587–e1007587. 7 indexed citations
14.
Blanco‐Gómez, Adrián, Sonia Castillo‐Lluva, María Isidoro‐García, et al.. (2018). The biological age linked to oxidative stress modifies breast cancer aggressiveness. Free Radical Biology and Medicine. 120. 133–146. 17 indexed citations
15.
Knecht, Kirsten M., Olga Buzovetsky, Constanze Schneider, et al.. (2018). The structural basis for cancer drug interactions with the catalytic and allosteric sites of SAMHD1. Proceedings of the National Academy of Sciences. 115(43). E10022–E10031. 24 indexed citations
16.
Bormann, Felix, Manuel Rodríguez‐Paredes, Sabine Hagemann, et al.. (2016). Reduced DNA methylation patterning and transcriptional connectivity define human skin aging. Aging Cell. 15(3). 563–571. 74 indexed citations
17.
Lauber, Chris, Gabrielle Vièyres, Ewa Terczyńska‐Dyla, et al.. (2015). Transcriptome analysis reveals a classical interferon signature induced by IFNλ4 in human primary cells. Genes and Immunity. 16(6). 414–421. 39 indexed citations
18.
Kaderali, Lars, et al.. (2015). Retrospective survival analysis of 237 consecutive patients with multiple pulmonary metastases from advanced renal cell carcinoma exclusively resected by a 1318-nm laser. Interactive Cardiovascular and Thoracic Surgery. 21(2). 211–217. 15 indexed citations
19.
Amberkar, Sandeep, et al.. (2013). Detecting Non-Uniform Clusters in Large-Scale Interaction Graphs. Journal of Computational Biology. 21(2). 173–183.
20.
Oberthuer, André, Lars Kaderali, Yvonne Kahlert, et al.. (2008). Subclassification and Individual Survival Time Prediction from Gene Expression Data of Neuroblastoma Patients by Using CASPAR. Clinical Cancer Research. 14(20). 6590–6601. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Andrew Macdonald Breakdown of academic impact, for papers by Xiaonan Zhang Breakdown of academic impact, for papers by Liguo Zhang Breakdown of academic impact, for papers by Renzo Boldorini Breakdown of academic impact, for papers by Michael Schmidt Breakdown of academic impact, for papers by Thomas von Hahn Breakdown of academic impact, for papers by Keigo Machida Breakdown of academic impact, for papers by Marcus J. Korth Breakdown of academic impact, for papers by Vaithilingaraja Arumugaswami
Rankless by CCL
2026