Maya Capelson
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- RNA modifications and cancer
- RNA regulation and disease
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 23
- Genomics and Chromatin Dynamics 19
- Nuclear Structure and Function 18
- RNA regulation and disease 3
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 2
- Cancer-related gene regulation 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Pau Pascual‐García (10 shared papers)Martin W. Hetzer (3 shared papers)Victor G. Corces (3 shared papers)Ulrich Wagner (1 shared paper)Roberta J. Schulte (1 shared paper)William B. Mair (1 shared paper)Yun Xiang Liang (1 shared paper)Jessica A. Talamas (3 shared papers)
- Journals
- Molecular Cell (5 papers)Cell Reports (3 papers)Cell (2 papers)Current Opinion in Genetics & Development (2 papers)Biology of the Cell (1 paper)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Maya Capelson
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 1.1k
- Virology 27
- Structural Biology 8
- Aging 9
- Genetics 99
Countries citing papers authored by Maya Capelson
This map shows the geographic impact of Maya Capelson'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 Maya Capelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Capelson more than expected).
Fields of papers citing papers by Maya Capelson
This network shows the impact of papers produced by Maya Capelson. 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 Maya Capelson. The network helps show where Maya Capelson may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Capelson, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 350 | |
| 2 | 2009 | 106 | |
| 3 | 2017 | 100 | |
| 4 | 2004 | 96 | |
| 5 | 2005 | 84 | |
| 6 | 2014 | 79 | |
| 7 | 2019 | 68 | |
| 8 | 2014 | 46 | |
| 9 | 2015 | 41 | |
| 10 | 2019 | 39 | |
| 11 | 2006 | 39 | |
| 12 | 2014 | 37 | |
| 13 | 2019 | 36 | |
| 14 | 2021 | 31 | |
| 15 | 2019 | 30 | |
| 16 | 2021 | 12 | |
| 17 | 2023 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2020 | 3 | |
| 20 | 2025 | 3 |
About Maya Capelson
Maya Capelson is a scholar working on Molecular Biology, Insect Science, Ecology, Evolution, Behavior and Systematics, Immunology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (23 papers), Genomics and Chromatin Dynamics (19 papers), Nuclear Structure and Function (18 papers), RNA regulation and disease (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Virology (27 citations), Structural Biology (8 citations), Aging (9 citations) and Genetics (99 citations). Maya Capelson has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Pau Pascual‐García, Martin W. Hetzer, Victor G. Corces, Ulrich Wagner, Roberta J. Schulte, William B. Mair, Yun Xiang Liang, Jessica A. Talamas, Terra M. Kuhn and Jieun Jeong. Their work appears in journals such as Molecular Cell, Cell Reports, Cell, Current Opinion in Genetics & Development and Biology of the 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.