Stefan Canzar
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 12
- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 8
- RNA Research and Splicing 8
- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 3
-
- Advanced Graph Theory Research 4
- Co-authors
- Francisca Rojas (8 shared papers)Yijing Su (2 shared papers)Guo‐li Ming (3 shared papers)Hongjun Song (3 shared papers)Steven L. Salzberg (2 shared papers)Gunnar W. Klau (4 shared papers)Caroline Vissers (1 shared paper)Chuan He (1 shared paper)
- Journals
- Bioinformatics (7 papers)Journal of Computational Biology (3 papers)Genome Research (3 papers)Nature Communications (2 papers)Cell (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Stefan Canzar
40 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Developmental Neuroscience 137
- Cancer Research 335
- Molecular Biology 1.4k
- Immunology 152
- Genetics 177
Countries citing papers authored by Stefan Canzar
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
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-authors
The 25 scholars most cited alongside Stefan Canzar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Temporal Control of Mammalian Cortical Neurogenesis by m6A Methylation Hit paper breakdown → | 2017 | 551 |
| 2 | 2019 | 163 | |
| 3 | 2013 | 143 | |
| 4 | 2013 | 101 | |
| 5 | 2016 | 68 | |
| 6 | 2021 | 66 | |
| 7 | 2022 | 64 | |
| 8 | 2012 | 52 | |
| 9 | 2019 | 49 | |
| 10 | 2015 | 47 | |
| 11 | 2019 | 44 | |
| 12 | 2016 | 36 | |
| 13 | 2018 | 35 | |
| 14 | 2016 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2010 | 32 | |
| 17 | 2016 | 28 | |
| 18 | 2020 | 18 | |
| 19 | 2018 | 18 | |
| 20 | 2024 | 17 |
About Stefan Canzar
Stefan Canzar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Spectroscopy and Cancer Research, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (11 papers), Genomics and Phylogenetic Studies (8 papers), RNA Research and Splicing (8 papers), Single-cell and spatial transcriptomics (5 papers), Advanced Graph Theory Research (4 papers), Cell Image Analysis Techniques (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Developmental Neuroscience (137 citations), Cancer Research (335 citations), Molecular Biology (1.4k citations), Immunology (152 citations) and Genetics (177 citations). Stefan Canzar has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Francisca Rojas, Yijing Su, Guo‐li Ming, Hongjun Song, Steven L. Salzberg, Gunnar W. Klau, Caroline Vissers, Chuan He, Michael Pokrass and Fadi Jacob. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, Genome Research, Nature Communications and Cell.
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.