Mark Chaisson
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.1%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
Papers in
-
- Genomics and Phylogenetic Studies 19
- RNA and protein synthesis mechanisms 12
- Machine Learning in Bioinformatics 2
- Genetics 8
- Genomic variations and chromosomal abnormalities 3
- Genomics and Rare Diseases 2
- Co-authors
- T Gingeras (1 shared paper)Carrie Davis (1 shared paper)Chris Zaleski (1 shared paper)Alexander Yu. Dobin (1 shared paper)Sonali Jha (1 shared paper)Philippe J. Batut (1 shared paper)Felix Schlesinger (1 shared paper)Jörg Drenkow (1 shared paper)
- Journals
- Bioinformatics (3 papers)Proceedings of the National Academy of Sciences (2 papers)Genome biology (2 papers)Nature (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Mark Chaisson
24 papers receiving 33.1k citations
Mark Chaisson's Hit Papers
Peers
Comparison fields: 5 of 181
- Cancer Research 3.9k
- Molecular Biology 18.4k
- Aging 465
- Immunology 4.0k
- Genetics 3.7k
Countries citing papers authored by Mark Chaisson
This map shows the geographic impact of Mark Chaisson'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 Mark Chaisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chaisson more than expected).
Fields of papers citing papers by Mark Chaisson
This network shows the impact of papers produced by Mark Chaisson. 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 Mark Chaisson. The network helps show where Mark Chaisson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Chaisson, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | STAR: ultrafast universal RNA-seq aligner Hit paper breakdown → | 2012 | 30717 |
| 2 | Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory Hit paper breakdown → | 2012 | 830 |
| 3 | Resolving the complexity of the human genome using single-molecule sequencing Hit paper breakdown → | 2014 | 513 |
| 4 | 2016 | 234 | |
| 5 | 2016 | 226 | |
| 6 | 2015 | 225 | |
| 7 | 2004 | 140 | |
| 8 | 2018 | 90 | |
| 9 | 2021 | 55 | |
| 10 | 2011 | 42 | |
| 11 | 2018 | 31 | |
| 12 | 2006 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2024 | 23 | |
| 15 | 2017 | 16 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 14 | |
| 18 | 2011 | 13 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 2 |
About Mark Chaisson
Mark Chaisson is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 25 papers that have together received 33.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (12 papers), Chromosomal and Genetic Variations (8 papers), Algorithms and Data Compression (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Machine Learning in Bioinformatics (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (18.4k citations), Aging (465 citations), Immunology (4.0k citations) and Genetics (3.7k citations). Mark Chaisson has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include T Gingeras, Carrie Davis, Chris Zaleski, Alexander Yu. Dobin, Sonali Jha, Philippe J. Batut, Felix Schlesinger, Jörg Drenkow, Glenn Tesler and Evan E. Eichler. Their work appears in journals such as Bioinformatics, Proceedings of the National Academy of Sciences, Genome biology, Nature and Nature Methods.
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.