Máté Borsos

1.2k citations
14 papers · 726 · h-index 12

Impact in

    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Chromatin Dynamics 7
    • Nuclear Structure and Function 4
    • Epigenetics and DNA Methylation 3
    • RNA Research and Splicing 3
    • RNA Interference and Gene Delivery 2
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 3
    • Genetics and Neurodevelopmental Disorders 2

Máté Borsos

14 papers receiving 723 citations

Peers

Máté Borsos
Comparison fields: 5 of 58
  • Structural Biology 17
  • Molecular Biology 590
  • Genetics 141
  • Cell Biology 80
  • Biophysics 27
Replace A. C. G. Vink with:
A. C. G. Vink Netherlands
Katrin Küpper Germany
Bodo Liebe Germany
Clémence Kress France
Tsotne Chitiashvili United States
Inma González France
Jacqueline Wittmeyer United States
Gabriela Galiová Czechia
Céline Ziegler-Birling France
T. Niroshini Senaratne United States
Máté Borsos relative to A. C. G. Vink Netherlands A. C. G. Vink's profile →
Citations per field
00.5×10×20×27.3×
A. C. G. Vink · 1×
Citations per year

Countries citing papers authored by Máté Borsos

Since Specialization
Citations

This map shows the geographic impact of Máté Borsos'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 Máté Borsos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Borsos more than expected).

Fields of papers citing papers by Máté Borsos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Máté Borsos. 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 Máté Borsos. The network helps show where Máté Borsos may publish in the future.

Co-authors

The 25 scholars most cited alongside Máté Borsos, 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 Máté Borsos Line = papers co-authored together Máté Borsos links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015131
2 2019104
3 201695
4 201975
5 201660
6 201655
7 201547
8 201338
9 202333
10 201332
11 201526
12 201418
13 20256
14 20146

About Máté Borsos

Máté Borsos is a scholar working on Molecular Biology, Genetics, Plant Science, Structural Biology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 726 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Nuclear Structure and Function (4 papers), Epigenetics and DNA Methylation (3 papers), Virus-based gene therapy research (3 papers), RNA Research and Splicing (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA Interference and Gene Delivery (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Structural Biology (17 citations), Molecular Biology (590 citations), Genetics (141 citations), Cell Biology (80 citations) and Biophysics (27 citations). Máté Borsos has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Maria‐Elena Torres‐Padilla, Déborah Bourc’his, Aurélie Teissandier, Marius Walter, Nicolas Servant, Kikuë Tachibana-Konwalski, Joan Barau, Natasha Zamudio, Jonathan Godwin and Kim L. de Luca. Their work appears in journals such as Current Biology, Genes & Development, FEBS Journal, Nature Communications and Nature.

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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