Maya Capelson

1.7k citations
23 papers · 1.2k · h-index 16

Impact in

    • RNA Research and Splicing
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics
    • 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 20
    • 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 2
    • RNA and protein synthesis mechanisms 1

Maya Capelson

23 papers receiving 1.2k citations

Peers

Maya Capelson
Comparison fields: 5 of 67
  • Molecular Biology 1.1k
  • Virology 34
  • Structural Biology 8
  • Aging 9
  • Cell Biology 59
Replace S Huang with:
S Huang United States
Roland Steinacher Switzerland
Clémence Kress France
M. Behfar Ardehali United States
Julio Mateos‐Langerak France
Marius B. Faza Switzerland
Lars Guelen United States
Nicolas Descostes United States
Carol V. Johnson United States
Nicolas Cougot France
Maya Capelson relative to S Huang United States S Huang's profile →
Citations per field
00.5×10×14.3×
S Huang · 1×
Citations per year

Countries citing papers authored by Maya Capelson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Maya Capelson Line = papers co-authored together Maya Capelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010355
2 2009104
3 201799
4 200491
5 200582
6 201476
7 201965
8 201056
9 201447
10 200640
11 201540
12 201437
13 201935
14 201934
15 202133
16 201928
17 202112
18 20237
19 20252
20 20091

About Maya Capelson

Maya Capelson is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Immunology, Insect Science and Infectious Diseases, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 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), RNA modifications and cancer (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Virology (34 citations), Structural Biology (8 citations), Aging (9 citations) and Cell Biology (59 citations). Maya Capelson has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Martin W. Hetzer, Pau Pascual‐García, Victor G. Corces, Yun Xiang Liang, Roberta Schulte, William B. Mair, Ulrich Wagner, Jessica A. Talamas, Jieun Jeong and Terra M. Kuhn. Their work appears in journals such as Molecular Cell, Cell Reports, Current Opinion in Genetics & Development, EMBO Reports 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.

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