Hans A. Kestler

13.4k total citations
264 papers, 7.2k citations indexed

About

Hans A. Kestler is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Hans A. Kestler has authored 264 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 40 papers in Artificial Intelligence and 31 papers in Oncology. Recurrent topics in Hans A. Kestler's work include Gene Regulatory Network Analysis (30 papers), Bioinformatics and Genomic Networks (28 papers) and Gene expression and cancer classification (27 papers). Hans A. Kestler is often cited by papers focused on Gene Regulatory Network Analysis (30 papers), Bioinformatics and Genomic Networks (28 papers) and Gene expression and cancer classification (27 papers). Hans A. Kestler collaborates with scholars based in Germany, United States and Italy. Hans A. Kestler's co-authors include Friedhelm Schwenker, Christoph Müssel, Michael Kühl, Johann M. Kraus, Martin Hopfensitz, Vinzenz Hombach, Thomas M. Gress, Malte Buchholz, Jochen Wöhrle and Michael Kühl and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hans A. Kestler

251 papers receiving 7.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans A. Kestler Germany 45 3.4k 917 798 706 698 264 7.2k
Chandan Chakraborty India 46 1.6k 0.5× 624 0.7× 615 0.8× 812 1.2× 736 1.1× 178 7.2k
David Chen United States 40 3.3k 0.9× 920 1.0× 581 0.7× 233 0.3× 448 0.6× 161 6.4k
James A. Koziol United States 62 2.5k 0.7× 1.1k 1.2× 889 1.1× 1.0k 1.4× 1.4k 2.1× 270 14.0k
Raphael Bueno United States 56 4.4k 1.3× 1.9k 2.1× 1.1k 1.3× 210 0.3× 1.1k 1.6× 220 12.0k
Hua Liu China 42 3.4k 1.0× 1.1k 1.1× 781 1.0× 271 0.4× 229 0.3× 308 10.4k
Balasubramanian Narasimhan United States 30 2.4k 0.7× 687 0.7× 733 0.9× 183 0.3× 300 0.4× 67 5.5k
Julio Sáez-Rodríguez Germany 58 8.9k 2.6× 1.1k 1.2× 1.2k 1.5× 266 0.4× 296 0.4× 249 12.4k
Debashis Ghosh United States 42 6.3k 1.8× 1.8k 1.9× 1.9k 2.3× 290 0.4× 338 0.5× 244 11.2k
John A. McDonald United States 43 3.9k 1.1× 483 0.5× 743 0.9× 818 1.2× 370 0.5× 100 11.5k
David A. Fishman United States 53 6.3k 1.8× 2.2k 2.4× 2.0k 2.5× 375 0.5× 646 0.9× 157 11.4k

Countries citing papers authored by Hans A. Kestler

Since Specialization
Citations

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

Fields of papers citing papers by Hans A. Kestler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans A. Kestler. 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 Hans A. Kestler. The network helps show where Hans A. Kestler may publish in the future.

Co-authorship network of co-authors of Hans A. Kestler

This figure shows the co-authorship network connecting the top 25 collaborators of Hans A. Kestler. A scholar is included among the top collaborators of Hans A. Kestler 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 Hans A. Kestler. Hans A. Kestler 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.
Brefka, Simone, Christoph Leinert, Hans A. Kestler, et al.. (2025). Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor Data. Sensors. 25(16). 5021–5021.
2.
Ikonomi, Nensi, et al.. (2024). GatekeepR: an R Shiny application for the identification of nodes with high dynamic impact in Boolean networks. Bioinformatics. 40(1). 2 indexed citations
3.
Enzenmüller, Stefanie, Felix Seyfried, Daniel Tews, et al.. (2024). Venetoclax resistance in acute lymphoblastic leukemia is characterized by increased mitochondrial activity and can be overcome by co-targeting oxidative phosphorylation. Cell Death and Disease. 15(7). 475–475. 3 indexed citations
4.
Holderried, Martin, Friederike Holderried, Anne Herrmann‐Werner, et al.. (2024). Embracing digital health: German otolaryngology patients’ usage and prospects of digital information and communication technologies for cross-sectoral care. Digital Health. 10. 599892992–599892992. 1 indexed citations
6.
Kraus, Johann M., Marco Groth, Simon Laban, et al.. (2023). Liquid biopsy: an examination of platelet RNA obtained from head and neck squamous cell carcinoma patients for predictive molecular tumor markers. SHILAP Revista de lepidopterología. 4(3). 422–446. 6 indexed citations
7.
Kraus, Johann M., Thomas J. Ettrich, Hans A. Kestler, et al.. (2022). Comparative Panel Sequencing of DNA Variants in cf-, ev- and tumorDNA for Pancreatic Ductal Adenocarcinoma Patients. Cancers. 14(4). 1074–1074. 4 indexed citations
8.
Wezel, Felix, Wenya Wang, Xue Wang, et al.. (2021). Shorter Leukocyte Telomere Length Is Associated with Worse Survival of Patients with Bladder Cancer and Renal Cell Carcinoma. Cancers. 13(15). 3774–3774. 5 indexed citations
9.
Bauer, Richard, et al.. (2020). Heterogeneity of Streptococcus anginosus ß‐hemolysis in relation to CRISPR/Cas. Molecular Oral Microbiology. 35(2). 56–65. 8 indexed citations
10.
Schobel, Johannes, Thomas Probst, Manfred Reichert, et al.. (2020). Measuring Mental Effort for Creating Mobile Data Collection Applications. International Journal of Environmental Research and Public Health. 17(5). 1649–1649. 3 indexed citations
11.
Sahm, Arne, Martin Bens, Karol Szafranski, et al.. (2018). Long-lived rodents reveal signatures of positive selection in genes associated with lifespan. PLoS Genetics. 14(3). e1007272–e1007272. 41 indexed citations
12.
Tao, Si, Duozhuang Tang, Yohei Morita, et al.. (2015). Wnt activity and basal niche position sensitize intestinal stem and progenitor cells to DNA  damage. The EMBO Journal. 34(5). 624–640. 82 indexed citations
13.
Kaistha, Brajesh P., Holger Lorenz, Harald Schmidt, et al.. (2015). PLAC8 Localizes to the Inner Plasma Membrane of Pancreatic Cancer Cells and Regulates Cell Growth and Disease Progression through Critical Cell-Cycle Regulatory Pathways. Cancer Research. 76(1). 96–107. 51 indexed citations
14.
Azoitei, Ninel, Kristina Diepold, Cornelia Brunner, et al.. (2014). HSP90 Supports Tumor Growth and Angiogenesis through PRKD2 Protein Stabilization. Cancer Research. 74(23). 7125–7136. 51 indexed citations
15.
Liebau, Stefan, et al.. (2012). A Hierarchy in Reprogramming Capacity in Different Tissue Microenvironments: What We Know and What We Need to Know. Stem Cells and Development. 22(5). 695–706. 19 indexed citations
16.
Begus‐Nahrmann, Yvonne, Daniel Hartmann, Johann M. Kraus, et al.. (2012). Transient telomere dysfunction induces chromosomal instability and promotes carcinogenesis. Journal of Clinical Investigation. 122(6). 2283–2288. 41 indexed citations
17.
Herrmann, Franziska, et al.. (2012). A Boolean Model of the Cardiac Gene Regulatory Network Determining First and Second Heart Field Identity. PLoS ONE. 7(10). e46798–e46798. 52 indexed citations
18.
Stephen, Sam L., Eugenio Montini, Hans A. Kestler, et al.. (2010). Chromosomal Integration of Adenoviral Vector DNA In Vivo. Journal of Virology. 84(19). 9987–9994. 60 indexed citations
19.
Müller, André Frotta, Markus Kunze, Nico Merkle, et al.. (2006). Integrating model based and data driven approaches for the automatic segmentation of cardiac short-axis cine MRI recordings. Computing in Cardiology Conference. 73–76. 1 indexed citations
20.
Kestler, Hans A., Martin Höher, Friedhelm Schwenker, & Vinzenz Hombach. (2002). Filtering beat-to-beat recordings of the high resolution electrocardiogram. 461–464. 2 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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