Christian Beisel

12.4k total citations · 6 hit papers
79 papers, 7.2k citations indexed

About

Christian Beisel is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Christian Beisel has authored 79 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 18 papers in Cancer Research and 15 papers in Infectious Diseases. Recurrent topics in Christian Beisel's work include Genomics and Chromatin Dynamics (14 papers), Cancer Genomics and Diagnostics (13 papers) and Epigenetics and DNA Methylation (13 papers). Christian Beisel is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Cancer Genomics and Diagnostics (13 papers) and Epigenetics and DNA Methylation (13 papers). Christian Beisel collaborates with scholars based in Switzerland, United States and Austria. Christian Beisel's co-authors include Renato Paro, Michael Stadler, Niko Beerenwinkel, Marcus Vetter, William P. Weber, Francesc Castro-Giner, Nicola Aceto, Ramona Scherrer, Christoph Rochlitz and Barbara M. Szczerba and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Christian Beisel

78 papers receiving 7.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neutrophils escort circulating tumour cells to enable cell cycle progression

2019 886 citations Jochen Singer, Christian Beisel et al. profile →
An Immune Atlas of Clear Cell Renal Cell Carcinoma

2017 694 citations Christian Beisel, Michael Stadler et al. profile →
Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seeding

2019 608 citations Christian Beisel et al. profile →
Repressive and active histone methylation mark distinct promoters in human and mouse spermatozoa

2010 510 citations Christian Beisel, Michael Stadler et al. profile →
Clonal evolution and clinical correlates of somatic mutations in myeloproliferative neoplasms

2014 401 citations Christian Beisel, Radek C. Skoda et al. Blood profile →
Distinct contributions of partial and full EMT to breast cancer malignancy

2021 250 citations Christian Beisel, Robert Ivánek et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Beisel Switzerland	37	4.3k	1.8k	1.3k	1.0k	807	79	7.2k
Dik C. van Gent Netherlands	49	6.5k 1.5×	2.4k 1.3×	1.4k 1.1×	1.6k 1.5×	832 1.0×	109	9.0k
Anthony T. Papenfuss Australia	45	3.5k 0.8×	994 0.6×	1.1k 0.9×	1.8k 1.7×	1.2k 1.5×	158	7.2k
Daniel C. Koboldt United States	27	4.3k 1.0×	1.6k 0.9×	2.6k 2.0×	1.2k 1.2×	2.2k 2.7×	54	8.1k
Hanlee P. Ji United States	35	4.8k 1.1×	1.1k 0.6×	1.8k 1.3×	585 0.6×	1.4k 1.8×	130	7.6k
Laura M. Machesky United Kingdom	68	7.9k 1.8×	1.3k 0.7×	866 0.7×	1.8k 1.7×	665 0.8×	199	15.9k
David Levens United States	57	8.7k 2.0×	1.3k 0.7×	1.1k 0.8×	962 0.9×	755 0.9×	129	10.7k
Martina Schnölzer Germany	54	5.6k 1.3×	1.2k 0.7×	825 0.6×	1.3k 1.2×	572 0.7×	174	9.0k
Neville E. Sanjana United States	35	10.3k 2.4×	1.3k 0.7×	1.6k 1.2×	1.1k 1.1×	1.7k 2.1×	74	12.5k
Itay Tirosh Israel	34	8.0k 1.9×	1.9k 1.1×	2.2k 1.6×	1.8k 1.8×	793 1.0×	65	10.7k
Dirk Eick Germany	57	8.9k 2.1×	2.6k 1.5×	991 0.8×	968 1.0×	713 0.9×	131	10.8k

Countries citing papers authored by Christian Beisel

Since Specialization

Citations

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

Fields of papers citing papers by Christian Beisel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Beisel

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Beisel. A scholar is included among the top collaborators of Christian Beisel 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 Christian Beisel. Christian Beisel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Stritt, Christoph, Galo A. Goig, Sònia Borrell, et al.. (2025). Gene conversion and duplication contribute to genetic variation in an outbreak of Mycobacterium tuberculosis. Microbial Genomics. 11(5). 1 indexed citations

Meli, Marina L., Jean‐Michel Hatt, Anja Kipar, et al.. (2024). Detection of SARS-CoV-2 RNA in a Zoo-Kept Red Fox (Vulpes vulpes). Viruses. 16(4). 521–521. 4 indexed citations

Wiberg, R. Axel W., et al.. (2023). Genome assemblies of the simultaneously hermaphroditic flatworms Macrostomum cliftonense and Macrostomum hystrix. G3 Genes Genomes Genetics. 13(9). 3 indexed citations

Willi, Barbara, Aline Wolfensberger, Christian Beisel, et al.. (2023). Detection and Molecular Characterization of the SARS-CoV-2 Delta Variant and the Specific Immune Response in Companion Animals in Switzerland. Viruses. 15(1). 245–245. 10 indexed citations

Loiseau, Chloé, Etthel M. Windels, Sebastian M. Gygli, et al.. (2023). The relative transmission fitness of multidrug-resistant Mycobacterium tuberculosis in a drug resistance hotspot. Nature Communications. 14(1). 1988–1988. 38 indexed citations

Goig, Galo A., Fabrizio Menardo, Anzaan Dippenaar, et al.. (2023). Effect of compensatory evolution in the emergence and transmission of rifampicin-resistant Mycobacterium tuberculosis in Cape Town, South Africa: a genomic epidemiology study. The Lancet Microbe. 4(7). e506–e515. 20 indexed citations

Mukhtar, Tanzila, Marcelo Boareto, Alice Grison, et al.. (2022). Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis. The EMBO Journal. 41(24). e111132–e111132. 8 indexed citations

Ramelyte, Egle, Aizhan Tastanova, Zsolt Balázs, et al.. (2021). Oncolytic virotherapy-mediated anti-tumor response: a single-cell perspective. Cancer Cell. 39(3). 394–406.e4. 79 indexed citations

Boettcher, Steffen, C. Matthias Wilk, Jochen Singer, et al.. (2020). Clonal hematopoiesis in donors and long-term survivors of related allogeneic hematopoietic stem cell transplantation. Blood. 135(18). 1548–1559. 50 indexed citations

10.

Beisel, Christian, et al.. (2020). Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping. Nature Communications. 11(1). 3551–3551. 47 indexed citations

11.

Wunderer, Julia, Willi Salvenmoser, Birgit Lengerer, et al.. (2019). Temporary adhesion of the proseriate flatworm Minona ileanae. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1784). 20190194–20190194. 16 indexed citations

12.

Brites, Daniela, Chloé Loiseau, Fabrizio Menardo, et al.. (2018). A New Phylogenetic Framework for the Animal-Adapted Mycobacterium tuberculosis Complex. Frontiers in Microbiology. 9. 2820–2820. 122 indexed citations

13.

Servera, Llucia Albertí, Panagiotis Tsapogas, Katja Eschbach, et al.. (2017). Single‐cell RNA sequencing reveals developmental heterogeneity among early lymphoid progenitors. The EMBO Journal. 36(24). 3619–3633. 31 indexed citations

14.

Giallonardo, Francesca Di, Armin Töpfer, Sandhya Prabhakaran, et al.. (2014). Full-length haplotype reconstruction to infer the structure of heterogeneous virus populations. Nucleic Acids Research. 42(14). e115–e115. 89 indexed citations

15.

Routtu, Jarkko, Matthew D. Hall, Christian Beisel, et al.. (2014). An SNP-based second-generation genetic map of Daphnia magna and its application to QTL analysis of phenotypic traits. BMC Genomics. 15(1). 1033–1033. 42 indexed citations

16.

Zagordi, Osvaldo, Martin Däumer, Christian Beisel, & Niko Beerenwinkel. (2012). Read length versus Depth of Coverage for Viral Quasispecies Reconstruction. PLoS ONE. 7(10). e47046–e47046. 47 indexed citations

17.

Braun, Andreas, et al.. (2012). Laser fluorescence of dentin caries covered with a novel nano-filled sealant. Lasers in Medical Science. 28(1). 133–138. 3 indexed citations

18.

Bauch, Angela, Franz‐Josef Elmer, Andreas Quandt, et al.. (2011). openBIS: a flexible framework for managing and analyzing complex data in biology research. BMC Bioinformatics. 12(1). 468–468. 98 indexed citations

19.

Enderle, Daniel, Christian Beisel, Michael Stadler, et al.. (2010). Polycomb preferentially targets stalled promoters of coding and noncoding transcripts. Genome Research. 21(2). 216–226. 129 indexed citations

20.

Balwierz, Piotr J., Piero Carninci, Carsten O. Daub, et al.. (2009). Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data. Genome biology. 10(7). 109 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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