Dávid Szüts

2.3k citations
56 papers · 1.7k indexed · h-index 23
    • Cancer Genomics and Diagnostics 14
    • Carcinogens and Genotoxicity Assessment 10
    • DNA Repair Mechanisms 29
    • CRISPR and Genetic Engineering 14
    • Genomics and Chromatin Dynamics 8
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5
  • Oncology top 10%
    • PARP inhibition in cancer therapy 7
  • Aging top 10%
  • Cell Biology top 10%

Dávid Szüts

55 papers receiving 1.7k citations

Peers

Dávid Szüts
Comparison fields: 5 of 103
  • Cancer Research 515
  • Molecular Biology 1.4k
  • Oncology 428
  • Aging 21
  • Cell Biology 147
Replace Duanduan Ma with:
Duanduan Ma United States
Rik G.H. Lindeboom Netherlands
Jasper Mullenders Netherlands
Esther Rheinbay United States
Claudia L.L. Valentim United States
Andrea Cocito Italy
Anita Göndör Sweden
Yuval Tabach Israel
Boqiang Hu China
Daniel Klevebring Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Dávid Szüts

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Szüts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20248
3 20242
4 20233
5 20235
6 202230
7 202019
8 202014
9 202015
10 202011
11 201972
12 201929
13 201822
14 201722
15 201713
16 2016128
17 201698
18 201212
19 200671
20 200012

About Dávid Szüts

Dávid Szüts is a scholar working on Cancer Research, Molecular Biology, Oncology, Microbiology and Cell Biology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (29 papers), CRISPR and Genetic Engineering (14 papers), Cancer Genomics and Diagnostics (14 papers), Carcinogens and Genotoxicity Assessment (10 papers), Genomics and Chromatin Dynamics (8 papers), PARP inhibition in cancer therapy (7 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (515 citations), Molecular Biology (1.4k citations), Oncology (428 citations), Aging (21 citations) and Cell Biology (147 citations). Dávid Szüts has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Mariann Bienz, Torsten Krude, Julian E. Sale, Ádám Póti, Zoltán Szállási, Christo P. Christov, Bernadett Szikriszt, Salih Eresh, Matthew Freeman and Marcin Krzystanek. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, DNA repair, Cell Reports and Genome 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.

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