Eugen Tausch

8.8k total citations
72 papers, 1.0k citations indexed

About

Eugen Tausch is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Eugen Tausch has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Genetics, 33 papers in Pathology and Forensic Medicine and 27 papers in Immunology. Recurrent topics in Eugen Tausch's work include Chronic Lymphocytic Leukemia Research (63 papers), Lymphoma Diagnosis and Treatment (33 papers) and Immunodeficiency and Autoimmune Disorders (26 papers). Eugen Tausch is often cited by papers focused on Chronic Lymphocytic Leukemia Research (63 papers), Lymphoma Diagnosis and Treatment (33 papers) and Immunodeficiency and Autoimmune Disorders (26 papers). Eugen Tausch collaborates with scholars based in Germany, United States and United Kingdom. Eugen Tausch's co-authors include Stephan Stilgenbauer, Daniel Mertens, Hartmut Döhner, Johannes Bloehdorn, Michael Hallek, William Close, Kirsten Fischer, Lars Bullinger, Anna Dolnik and Brenda Chyla and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Eugen Tausch

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugen Tausch Germany 18 686 536 309 308 188 72 1.0k
Jennifer Edelmann Germany 12 812 1.2× 564 1.1× 352 1.1× 257 0.8× 237 1.3× 22 1.0k
Yvona Brychtová Czechia 19 704 1.0× 450 0.8× 385 1.2× 422 1.4× 294 1.6× 71 1.2k
Johannes Bloehdorn Germany 14 581 0.8× 437 0.8× 320 1.0× 320 1.0× 137 0.7× 34 891
Ludger Sellmann Germany 19 683 1.0× 426 0.8× 526 1.7× 344 1.1× 269 1.4× 34 1.1k
Marwan Kwok United Kingdom 10 522 0.8× 422 0.8× 277 0.9× 320 1.0× 288 1.5× 15 881
Daniela Gottardi Italy 11 605 0.9× 379 0.7× 405 1.3× 353 1.1× 193 1.0× 19 1.0k
John N. Allan United States 21 803 1.2× 708 1.3× 319 1.0× 206 0.7× 333 1.8× 97 1.1k
Piers Patten United Kingdom 16 867 1.3× 602 1.1× 492 1.6× 231 0.8× 315 1.7× 72 1.2k
Wanlong Ma United States 18 548 0.8× 283 0.5× 207 0.7× 405 1.3× 235 1.3× 71 1.0k
Domenico Levato Italy 20 674 1.0× 461 0.9× 387 1.3× 309 1.0× 168 0.9× 29 974

Countries citing papers authored by Eugen Tausch

Since Specialization
Citations

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

Fields of papers citing papers by Eugen Tausch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugen Tausch

This figure shows the co-authorship network connecting the top 25 collaborators of Eugen Tausch. A scholar is included among the top collaborators of Eugen Tausch 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 Eugen Tausch. Eugen Tausch 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.
Baumann, Bernd, Francesca Ferrante, Eugen Tausch, et al.. (2025). A noncoding mutation in the NOTCH1 gene initiates oncogenic NOTCH signaling via wild-type NICD stabilization in CLL. Blood. 146(16). 1936–1949.
2.
Malčíková, Jitka, Šárka Pavlová, Panagiotis Baliakas, et al.. (2024). ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia—2024 update. Leukemia. 38(7). 1455–1468. 8 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
5.
Knoll, Maximilian, Deyan Y. Yosifov, Christof Schneider, et al.. (2024). Biallelic Deletion 13q in Chronic Lymphocytic Leukemia Treated with Targeted Agents. Blood. 144(Supplement 1). 4608–4608.
6.
Riecke, Armin, Eugen Tausch, Deyan Y. Yosifov, et al.. (2023). Genetic markers and ibrutinib vs placebo treatment in early stage chronic lymphocytic leukemia -results from the GCLLSG CLL12 trial. Blood. 142(Supplement 1). 199–199.
7.
Fürstenau, Moritz, Jonathan M. Weiss, Sandra Robrecht, et al.. (2022). Circulating Tumor DNA–Based MRD Assessment in Patients with CLL Treated with Obinutuzumab, Acalabrutinib, and Venetoclax. Clinical Cancer Research. 28(19). 4203–4211. 17 indexed citations
8.
Schilhabel, Anke, Paula Cramer, Julia von Tresckow, et al.. (2022). CD20 Expression as a Possible Novel Prognostic Marker in CLL: Application of EuroFlow Standardization Technique and Normalization Procedures in Flow Cytometric Expression Analysis. Cancers. 14(19). 4917–4917. 3 indexed citations
9.
Pan, Heng, Loïc Renaud, Ronan Chaligné, et al.. (2021). Discovery of Candidate DNA Methylation Cancer Driver Genes. Cancer Discovery. 11(9). 2266–2281. 53 indexed citations
10.
Zapatka, Marc, Eugen Tausch, Selcen Öztürk, et al.. (2021). Clonal evolution in chronic lymphocytic leukemia is scant in relapsed but accelerated in refractory cases after chemo(immune) therapy. Haematologica. 107(3). 604–614. 9 indexed citations
11.
Maier, Julia, Melanie Martin, Alpaslan Tasdogan, et al.. (2020). U-RT1 – A new model for Richter transformation. Neoplasia. 23(1). 140–148. 9 indexed citations
12.
Al‐Sawaf, Othman, Sandra Robrecht, Jasmin Bahlo, et al.. (2020). Richter transformation in chronic lymphocytic leukemia (CLL)—a pooled analysis of German CLL Study Group (GCLLSG) front line treatment trials. Leukemia. 35(1). 169–176. 62 indexed citations
13.
Demir, Salih, Elena Boldrin, Qian Sun, et al.. (2019). Therapeutic targeting of mutant p53 in pediatric acute lymphoblastic leukemia. Haematologica. 105(1). 170–181. 32 indexed citations
14.
Close, William, Sabrina J. Kugler, Michaela Reichenzeller, et al.. (2018). FBXW7 mutations reduce binding of NOTCH1, leading to cleaved NOTCH1 accumulation and target gene activation in CLL. Blood. 133(8). 830–839. 58 indexed citations
15.
Scheffold, Annika, Billy Michael Chelliah Jebaraj, Johannes Bloehdorn, et al.. (2017). High IGF1R Expression Is Associated with Worse Prognosis in CLL and Impacts Response to PI3K-δ Inhibitor Treatment. Blood. 130. 390–390.
16.
Schirmer, Melanie, Luca Trentin, Manon Queudeville, et al.. (2016). Intrinsic and chemo-sensitizing activity of SMAC-mimetics on high-risk childhood acute lymphoblastic leukemia. Cell Death and Disease. 7(1). e2052–e2052. 19 indexed citations
17.
Tausch, Eugen, Daniel Mertens, & Stephan Stilgenbauer. (2016). Genomic Features: Impact on Pathogenesis and Treatment of Chronic Lymphocytic Leukemia. Oncology Research and Treatment. 39(1-2). 34–40. 4 indexed citations
18.
Tausch, Eugen, R. Schlenk, Peter Hillmen, et al.. (2014). SF3B1 mutations and outcome in CLL patients treated with chlorambucil (CHL) or ofatumumab-CHL (O plus CHL): results from the phase III study complement 1 (OMB110911). Haematologica. 99. 522–523. 1 indexed citations
19.
Tausch, Eugen, Daniel Mertens, & Stephan Stilgenbauer. (2014). Advances in treating chronic lymphocytic leukemia. F1000Prime Reports. 6. 65–65. 11 indexed citations
20.
Botteron, Catherine, et al.. (2008). Tracing Functional Antigen-Specific CCR6+ Th17 Cells after Vaccination. PLoS ONE. 3(8). e2951–e2951. 18 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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