Jan Hauke

5.3k total citations
42 papers, 1.2k citations indexed

About

Jan Hauke is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Jan Hauke has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 18 papers in Molecular Biology and 17 papers in Cancer Research. Recurrent topics in Jan Hauke's work include BRCA gene mutations in cancer (23 papers), Cancer Genomics and Diagnostics (17 papers) and Genetic factors in colorectal cancer (8 papers). Jan Hauke is often cited by papers focused on BRCA gene mutations in cancer (23 papers), Cancer Genomics and Diagnostics (17 papers) and Genetic factors in colorectal cancer (8 papers). Jan Hauke collaborates with scholars based in Germany, United States and Poland. Jan Hauke's co-authors include Eric Hahnen, Ingmar Blümcke, Brunhilde Wirth, Ilker Y. Eyüpoglu, Christian Tränkle, Markus Rießland, Assam El‐Osta, Lutz Garbes, Roland Coras and Katja Kobow and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Oncogene.

In The Last Decade

Jan Hauke

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Hauke Germany 15 836 385 346 165 146 42 1.2k
Caterina Garone Italy 21 1.3k 1.6× 182 0.5× 148 0.4× 119 0.7× 131 0.9× 45 1.7k
Chandree L. Beaulieu Canada 20 645 0.8× 459 1.2× 89 0.3× 93 0.6× 127 0.9× 33 1.1k
Xueqiu Jian United States 11 940 1.1× 753 2.0× 60 0.2× 232 1.4× 55 0.4× 17 1.5k
Irina Mikolaenko United States 12 786 0.9× 51 0.1× 290 0.8× 252 1.5× 117 0.8× 27 1.4k
Kristin D. Kernohan Canada 18 887 1.1× 584 1.5× 80 0.2× 105 0.6× 52 0.4× 49 1.3k
Taila Hartley Canada 20 591 0.7× 674 1.8× 77 0.2× 150 0.9× 102 0.7× 54 1.2k
Sarah L. Sawyer Canada 15 589 0.7× 486 1.3× 42 0.1× 80 0.5× 99 0.7× 37 1.0k
Matthew Hayden United Kingdom 5 826 1.0× 511 1.3× 79 0.2× 97 0.6× 55 0.4× 5 1.4k
Michaela S. Banck United States 23 987 1.2× 233 0.6× 92 0.3× 157 1.0× 200 1.4× 29 1.8k
Laurence Duprez Belgium 16 1.2k 1.4× 330 0.9× 89 0.3× 88 0.5× 395 2.7× 17 2.3k

Countries citing papers authored by Jan Hauke

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hauke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hauke

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hauke. A scholar is included among the top collaborators of Jan Hauke 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 Jan Hauke. Jan Hauke 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.
Hanenberg, Helmut, Constanze Wiek, Brett Klamer, et al.. (2025). Reclassification of ATM Missense Variants of Uncertain Significance by Integrating Results from Systematic Functional Assays into an ACMG Points–Based Framework. Clinical Cancer Research. 31(12). 2426–2440.
3.
Rhiem, Kerstin, Clara Breidenbach, Anke Waha, et al.. (2025). Online Training to Increase Genetic and Risk Literacy in Physicians Counseling Breast and Ovarian Cancer Patients for Genetic Testing. Breast Care. 20(5). 305–313.
5.
Heitz, Florian, Christian Marth, Stéphanie Henry, et al.. (2023). AGO-OVAR 28/ENGOT-ov57. Niraparib alone versus niraparib in combination with bevacizumab in patients with carboplatin-taxane-based chemotherapy in advanced ovarian cancer: a multicenter randomized phase III trial. International Journal of Gynecological Cancer. 33(12). 1966–1969. 11 indexed citations
6.
7.
Weber‐Lassalle, Konstantin, Philipp Harter, Jan Hauke, et al.. (2018). Diagnosis of Li-Fraumeni Syndrome: Differentiating TP53 germline mutations from clonal hematopoiesis. Human Mutation. 39(12). 2040–2046. 17 indexed citations
8.
Ernst, Corinna, Eric Hahnen, Christoph Engel, et al.. (2018). Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics. BMC Medical Genomics. 11(1). 35–35. 75 indexed citations
9.
Pohl, Esther, Andreas Schneeweiß, Jan Hauke, et al.. (2018). Germline mutation status and therapy response in patients with triple-negative breast cancer (TNBC): Results of the GeparOcto study. Annals of Oncology. 29. viii77–viii77. 2 indexed citations
10.
Hahnen, Eric, Jan Hauke, Christoph Engel, et al.. (2017). Germline Mutations in Triple-Negative Breast Cancer. Breast Care. 12(1). 15–19. 42 indexed citations
11.
Mehler, Katrin, Ingo Gottschalk, Anne Vierzig, et al.. (2017). Disorders of fatty acid oxidation and autosomal recessive polycystic kidney disease—different clinical entities and comparable perinatal renal abnormalities. Pediatric Nephrology. 32(5). 791–800. 18 indexed citations
12.
Meindl, A, Juliane Ramser, Jan Hauke, & Eric Hahnen. (2015). Genetic aspects of hereditary breast and ovarian cancer: options and limits. Kölner Universitäts PublikationsServer (Universität zu Köln). 1 indexed citations
13.
Kobow, Katja, Antony Kaspi, K N Harikrishnan, et al.. (2013). Deep sequencing reveals increased DNA methylation in chronic rat epilepsy. Acta Neuropathologica. 126(5). 741–756. 150 indexed citations
14.
Wappenschmidt, Barbara, Alexandra Becker, Jan Hauke, et al.. (2012). Analysis of 30 Putative BRCA1 Splicing Mutations in Hereditary Breast and Ovarian Cancer Families Identifies Exonic Splice Site Mutations That Escape In Silico Prediction. PLoS ONE. 7(12). e50800–e50800. 41 indexed citations
15.
Rießland, Markus, Anja Förster, Jan Hauke, et al.. (2010). SAHA ameliorates the SMA phenotype in two mouse models for spinal muscular atrophy. Human Molecular Genetics. 19(8). 1492–1506. 177 indexed citations
16.
Savaskan, Nicolai, et al.. (2010). Dissection of mitogenic and neurodegenerative actions of cystine and glutamate in malignant gliomas. Oncogene. 30(1). 43–53. 31 indexed citations
17.
Kobow, Katja, Michelle A.T. Hildebrandt, Jan Hauke, et al.. (2009). Increased Reelin Promoter Methylation Is Associated With Granule Cell Dispersion in Human Temporal Lobe Epilepsy. Journal of Neuropathology & Experimental Neurology. 68(4). 356–364. 131 indexed citations
18.
Garbes, Lutz, Markus Rießland, Irmgard Hölker, et al.. (2009). LBH589 induces up to 10-fold SMN protein levels by several independent mechanisms and is effective even in cells from SMA patients non-responsive to valproate. Human Molecular Genetics. 18(19). 3645–3658. 87 indexed citations
19.
Hauke, Jan, Markus Rießland, Sebastian Lunke, et al.. (2008). Survival motor neuron gene 2 silencing by DNA methylation correlates with spinal muscular atrophy disease severity and can be bypassed by histone deacetylase inhibition. Human Molecular Genetics. 18(2). 304–317. 111 indexed citations
20.
Hahnen, Eric, Jan Hauke, Christian Tränkle, et al.. (2008). Histone deacetylase inhibitors: possible implications for neurodegenerative disorders. Expert Opinion on Investigational Drugs. 17(2). 169–184. 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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