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 9
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 8
- Genomics and Phylogenetic Studies 7
- Single-cell and spatial transcriptomics 5
- Protein Structure and Dynamics 3
-
- Advanced Graph Theory Research 4
- Co-authors
- Hongjun Song (3 shared papers)Yijing Su (2 shared papers)Guo‐li Ming (3 shared papers)Steven L. Salzberg (2 shared papers)Gunnar W. Klau (5 shared papers)Ki‐Jun Yoon (2 shared papers)Chuan He (1 shared paper)Yunhua Zhu (1 shared paper)
- Journals
- Bioinformatics (7 papers)Journal of Computational Biology (3 papers)Genome Research (3 papers)Nature Communications (2 papers)Algorithmica (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Stefan Canzar
41 papers receiving 1.7k citations
Stefan Canzar's Hit Papers
Peers
Comparison fields: 5 of 131
- Developmental Neuroscience 140
- Cancer Research 310
- Molecular Biology 1.3k
- Immunology 147
- Genetics 162
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 44 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 | 561 |
| 2 | 2019 | 170 | |
| 3 | 2013 | 144 | |
| 4 | 2013 | 101 | |
| 5 | 2021 | 70 | |
| 6 | 2016 | 68 | |
| 7 | 2022 | 68 | |
| 8 | 2012 | 55 | |
| 9 | 2019 | 50 | |
| 10 | 2015 | 48 | |
| 11 | 2019 | 44 | |
| 12 | 2020 | 36 | |
| 13 | 2016 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2010 | 32 | |
| 17 | 2016 | 28 | |
| 18 | 2020 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2018 | 18 |
About Stefan Canzar
Stefan Canzar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Spectroscopy and Cancer Research, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (7 papers), Single-cell and spatial transcriptomics (5 papers), Advanced Graph Theory Research (4 papers), Protein Structure and Dynamics (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Developmental Neuroscience (140 citations), Cancer Research (310 citations), Molecular Biology (1.3k citations), Immunology (147 citations) and Genetics (162 citations). Stefan Canzar has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hongjun Song, Yijing Su, Guo‐li Ming, Steven L. Salzberg, Gunnar W. Klau, Ki‐Jun Yoon, Chuan He, Yunhua Zhu, Louis C. Doré and Michael Pokrass. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, Genome Research, Nature Communications and Algorithmica.
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.