Stefan Canzar

3.0k total citations · 1 hit paper
43 papers, 1.7k citations indexed

About

Stefan Canzar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Stefan Canzar has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Genetics. Recurrent topics in Stefan Canzar's work include RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Phylogenetic Studies (8 papers). Stefan Canzar is often cited by papers focused on RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Phylogenetic Studies (8 papers). Stefan Canzar collaborates with scholars based in Germany, United States and Netherlands. Stefan Canzar's co-authors include Francisca Rojas, Guo‐li Ming, Hongjun Song, Yijing Su, Steven L. Salzberg, Gunnar W. Klau, Xinyuan Wang, Louis C. Doré, Xiaoxi Zhuang and Chuan He and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Stefan Canzar

40 papers receiving 1.7k citations

Hit Papers

Temporal Control of Mammalian Cortical Neurogenesis by m6... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Canzar Germany 19 1.4k 335 177 152 137 43 1.7k
Jörg Mansfeld Germany 21 2.3k 1.7× 161 0.5× 183 1.0× 142 0.9× 54 0.4× 30 3.2k
Yanxiao Zhang United States 18 1.4k 1.0× 296 0.9× 160 0.9× 119 0.8× 20 0.1× 38 1.8k
Heiko Düßmann Ireland 28 1.8k 1.3× 222 0.7× 125 0.7× 233 1.5× 30 0.2× 62 2.6k
Elisa Ferrando‐May Germany 27 1.5k 1.1× 130 0.4× 169 1.0× 249 1.6× 27 0.2× 50 2.1k
Junjun Zhang China 15 700 0.5× 169 0.5× 133 0.8× 42 0.3× 23 0.2× 37 964
Amit Tzur Israel 15 1.1k 0.8× 122 0.4× 130 0.7× 83 0.5× 13 0.1× 23 1.9k
Violaine Sée United Kingdom 26 1.8k 1.3× 745 2.2× 192 1.1× 536 3.5× 40 0.3× 46 3.1k
John R. MacDonald United States 26 838 0.6× 159 0.5× 57 0.3× 129 0.8× 153 1.1× 92 2.2k
Sang Hoon Ha South Korea 24 1.8k 1.3× 161 0.5× 149 0.8× 171 1.1× 15 0.1× 49 2.6k
Lan K. Nguyen United States 25 1.5k 1.1× 342 1.0× 150 0.8× 150 1.0× 11 0.1× 84 2.3k

Countries citing papers authored by Stefan Canzar

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Canzar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Canzar

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Canzar. A scholar is included among the top collaborators of Stefan Canzar 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 Stefan Canzar. Stefan Canzar 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.
Sun, Jianfeng, Martin Philpott, Gary Hoffmann, et al.. (2024). Correcting PCR amplification errors in unique molecular identifiers to generate accurate numbers of sequencing molecules. Nature Methods. 21(3). 401–405. 17 indexed citations
2.
Ito-Kureha, Taku, Cristina Leoni, Kayla Borland, et al.. (2022). The function of Wtap in N6-adenosine methylation of mRNAs controls T cell receptor signaling and survival of T cells. Nature Immunology. 23(8). 1208–1221. 64 indexed citations
3.
Shim, Heejung, et al.. (2021). McSplicer: a probabilistic model for estimating splice site usage from RNA-seq data. Bioinformatics. 37(14). 2004–2011. 3 indexed citations
4.
Canzar, Stefan, et al.. (2021). A generalization of t-SNE and UMAP to single-cell multimodal omics. Genome biology. 22(1). 130–130. 66 indexed citations
5.
Kim, Namshik, Francisca Rojas, Minghao Yin, et al.. (2021). CYFIP1 Dosages Exhibit Divergent Behavioral Impact via Diametric Regulation of NMDA Receptor Complex Translation in Mouse Models of Psychiatric Disorders. Biological Psychiatry. 92(10). 815–826. 10 indexed citations
6.
Canzar, Stefan, Jan Baumbach, David B. Blumenthal, et al.. (2020). BiCoN: network-constrained biclustering of patients and omics data. Bioinformatics. 37(16). 2398–2404. 15 indexed citations
7.
Weichmann, Franziska, Robert Hett, Aloys Schepers, et al.. (2020). Validation strategies for antibodies targeting modified ribonucleotides. RNA. 26(10). 1489–1506. 18 indexed citations
8.
Elbassioni, Khaled, et al.. (2020). Sphetcher: Spherical Thresholding Improves Sketching of Single-Cell Transcriptomic Heterogeneity. iScience. 23(6). 101126–101126. 2 indexed citations
9.
Blaeschke, Franziska, Semjon Willier, Dana Stenger, et al.. (2020). Leukemia-induced dysfunctional TIM-3+CD4+ bone marrow T cells increase risk of relapse in pediatric B-precursor ALL patients. Leukemia. 34(10). 2607–2620. 33 indexed citations
10.
Hoß, Florian, James L. Mueller, Francisca Rojas, et al.. (2019). Alternative splicing regulates stochastic NLRP3 activity. Nature Communications. 10(1). 3238–3238. 49 indexed citations
11.
Berg, Daniel A., Yijing Su, Aneek Patel, et al.. (2019). A Common Embryonic Origin of Stem Cells Drives Developmental and Adult Neurogenesis. Cell. 177(3). 654–668.e15. 163 indexed citations
12.
Grabowski, Piotr, Sebastian Hollizeck, Meino Rohlfs, et al.. (2019). Proteome Analysis of Human Neutrophil Granulocytes From Patients With Monogenic Disease Using Data-independent Acquisition. Molecular & Cellular Proteomics. 18(4). 760–772. 44 indexed citations
13.
Andreotti, Sandro & Stefan Canzar. (2018). Guided Reconstruction of Full-Length Isoforms from Short Reads by CIDANE. Methods in molecular biology. 1870. 199–208. 1 indexed citations
14.
Kuang, Zheng & Stefan Canzar. (2018). Tracking Alternatively Spliced Isoforms from Long Reads by SpliceHunter. Methods in molecular biology. 1751. 73–88. 3 indexed citations
15.
Yoon, Ki‐Jun, Francisca Rojas, Caroline Vissers, et al.. (2017). Temporal Control of Mammalian Cortical Neurogenesis by m6A Methylation. Cell. 171(4). 877–889.e17. 551 indexed citations breakdown →
16.
Kuang, Zheng, Jef D. Boeke, & Stefan Canzar. (2016). The dynamic landscape of fission yeast meiosis alternative-splice isoforms. Genome Research. 27(1). 145–156. 34 indexed citations
17.
Andreotti, Sandro, Knut Reinert, & Stefan Canzar. (2013). The Duplication-Loss Small Phylogeny Problem: From Cherries to Trees. Journal of Computational Biology. 20(9). 643–659. 4 indexed citations
18.
Marschall, Tobias, Ivan G. Costa, Stefan Canzar, et al.. (2012). CLEVER: clique-enumerating variant finder. Bioinformatics. 28(22). 2875–2882. 52 indexed citations
19.
Althaus, Ernst, Stefan Canzar, Mark R. Emmett, et al.. (2010). Computing H/D-Exchange rates of single residues from data of proteolytic fragments. BMC Bioinformatics. 11(1). 424–424. 32 indexed citations
20.
Althaus, Ernst, Stefan Canzar, Mark R. Emmett, et al.. (2009). Discrete fitting of hydrogen-deuterium-exchange data of overlapping fragments. Data Archiving and Networked Services (DANS). 496–502. 6 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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