Matthew C. Canver
Impact in
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 22
- RNA and protein synthesis mechanisms 8
- Advanced biosensing and bioanalysis techniques 7
- RNA modifications and cancer 5
- Pluripotent Stem Cells Research 5
- RNA regulation and disease 4
- Genetics 11
- Hemoglobinopathies and Related Disorders 10
- Co-authors
- Stuart H. Orkin (24 shared papers)Daniel E. Bauer (23 shared papers)Luca Pinello (18 shared papers)Takahiro Maeda (13 shared papers)Guo‐Cheng Yuan (6 shared papers)Elenoe C. Smith (5 shared papers)Yuko Fujiwara (5 shared papers)Neville E. Sanjana (5 shared papers)
- Journals
- Blood (11 papers)Molecular Cell (3 papers)Transfusion (2 papers)Bioinformatics (2 papers)Journal of Clinical Microbiology (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Matthew C. Canver
41 papers receiving 2.6k citations
Matthew C. Canver's Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 812
- Business and International Management 109
- Aging 86
- Hematology 396
- Molecular Biology 2.0k
Countries citing papers authored by Matthew C. Canver
This map shows the geographic impact of Matthew C. Canver'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 Matthew C. Canver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Canver more than expected).
Fields of papers citing papers by Matthew C. Canver
This network shows the impact of papers produced by Matthew C. Canver. 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 Matthew C. Canver. The network helps show where Matthew C. Canver may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew C. Canver, 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 | BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis Hit paper breakdown → | 2015 | 612 |
| 2 | An Erythroid Enhancer of BCL11A Subject to Genetic Variation Determines Fetal Hemoglobin Level Hit paper breakdown → | 2013 | 450 |
| 3 | 2014 | 260 | |
| 4 | 2016 | 259 | |
| 5 | 2016 | 125 | |
| 6 | 2014 | 121 | |
| 7 | 2015 | 89 | |
| 8 | 2017 | 84 | |
| 9 | 2015 | 78 | |
| 10 | 2018 | 57 | |
| 11 | 2017 | 47 | |
| 12 | 2019 | 38 | |
| 13 | 2016 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2019 | 34 | |
| 16 | 2015 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 2019 | 29 | |
| 19 | 2018 | 29 | |
| 20 | 2020 | 27 |
About Matthew C. Canver
Matthew C. Canver is a scholar working on Molecular Biology, Genetics, Plant Science, Hematology and Physiology, having authored 44 papers that have together received 2.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (22 papers), Hemoglobinopathies and Related Disorders (10 papers), RNA and protein synthesis mechanisms (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), RNA modifications and cancer (5 papers), Pluripotent Stem Cells Research (5 papers), Chromosomal and Genetic Variations (4 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Genetics (812 citations), Business and International Management (109 citations), Aging (86 citations), Hematology (396 citations) and Molecular Biology (2.0k citations). Matthew C. Canver has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Stuart H. Orkin, Daniel E. Bauer, Luca Pinello, Takahiro Maeda, Guo‐Cheng Yuan, Elenoe C. Smith, Yuko Fujiwara, Neville E. Sanjana, Falak Sher and Yukio Nakamura. Their work appears in journals such as Blood, Molecular Cell, Transfusion, Bioinformatics and Journal of Clinical Microbiology.
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.