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
- Virology top 10%
Papers in
-
- RNA Research and Splicing 19
- Genomics and Chromatin Dynamics 18
- Nuclear Structure and Function 15
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 2
- RNA regulation and disease 2
- RNA modifications and cancer 1
- Co-authors
- Martin W. HetzerPau Pascual‐GarcíaVictor G. CorcesUlrich WagnerRoberta SchulteYun Xiang LiangWilliam B. MairJessica A. Talamas
- Journals
- Molecular Cell (3 papers)Cell Reports (2 papers)EMBO Reports (2 papers)Current Opinion in Genetics & Development (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Maya Capelson
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 1.1k
- Virology 34
- Aging 10
- Structural Biology 8
- Plant Science 136
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 64 | |
| 8 | 2019 | 34 | |
| 9 | 2019 | 32 | |
| 10 | 2017 | 99 | |
| 11 | 2015 | 40 | |
| 12 | 2014 | 47 | |
| 13 | 2014 | 75 | |
| 14 | 2014 | 36 | |
| 15 | 2010 | 351 | |
| 16 | 2010 | 56 | |
| 17 | 2009 | 1 | |
| 18 | 2006 | 40 | |
| 19 | 2005 | 82 | |
| 20 | 2004 | 91 |
About Maya Capelson
Maya Capelson is a scholar working on Molecular Biology, Insect Science, Ecology, Evolution, Behavior and Systematics, Immunology and Infectious Diseases, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (19 papers), Genomics and Chromatin Dynamics (18 papers), Nuclear Structure and Function (15 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related gene regulation (2 papers), RNA regulation and disease (2 papers), Vector-Borne Animal Diseases (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Virology (34 citations), Aging (10 citations), Structural Biology (8 citations) and Plant Science (136 citations). Maya Capelson has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Martin W. Hetzer, Pau Pascual‐García, Victor G. Corces, Ulrich Wagner, Roberta Schulte, Yun Xiang Liang, William B. Mair, Jessica A. Talamas, Jieun Jeong and Terra M. Kuhn. Their work appears in journals such as Molecular Cell, Cell Reports, EMBO Reports, Current Opinion in Genetics & Development and The Journal of Cell Biology.
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.