Dávid Szüts

2.4k citations
57 papers · 1.8k · h-index 24

Impact in

    • Cancer Genomics and Diagnostics
    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Developmental Biology and Gene Regulation
    • RNA modifications and cancer

Papers in

    • DNA Repair Mechanisms 26
    • CRISPR and Genetic Engineering 12
    • Genomics and Chromatin Dynamics 8
    • Epigenetics and DNA Methylation 6
    • DNA and Nucleic Acid Chemistry 5
    • Cancer Genomics and Diagnostics 10
    • Carcinogens and Genotoxicity Assessment 9

Dávid Szüts

56 papers receiving 1.8k citations

Peers

Dávid Szüts
Comparison fields: 5 of 98
  • Cancer Research 488
  • Molecular Biology 1.3k
  • Oncology 418
  • Aging 22
  • Cell Biology 144
Replace Rik G.H. Lindeboom with:
Rik G.H. Lindeboom Netherlands
Boqiang Hu China
Alison M. Taylor United States
Nik Matthews United Kingdom
Touati Benoukraf Singapore
Annaïck Carles Canada
Andrea Cocito Italy
Anita Göndör Sweden
Andrea E. Murmann United States
Claudia L.L. Valentim United States
Dávid Szüts relative to Rik G.H. Lindeboom Netherlands Rik G.H. Lindeboom's profile →
Citations per field
00.5×3.7×
Rik G.H. Lindeboom · 1×
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-authors

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

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 2006136
3 2016103
4 199893
5 199793
6 201787
7 201975
8 200672
9 200766
10 201061
11 200858
12 201848
13 200047
14 201246
15 200644
16 200442
17 200640
18 200740
19 202233
20 202231

About Dávid Szüts

Dávid Szüts is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Cell Biology, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (26 papers), CRISPR and Genetic Engineering (12 papers), Cancer Genomics and Diagnostics (10 papers), Carcinogens and Genotoxicity Assessment (9 papers), Genomics and Chromatin Dynamics (8 papers), PARP inhibition in cancer therapy (7 papers), Epigenetics and DNA Methylation (6 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Cancer Research (488 citations), Molecular Biology (1.3k citations), Oncology (418 citations), Aging (22 citations) and Cell Biology (144 citations). Dávid Szüts has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Mariann Bienz, Torsten Krude, Ádám Póti, Julian E. Sale, Zoltán Szállási, Christo P. Christov, Bernadett Szikriszt, Matthew Freeman, Salih Eresh and Marcin Krzystanek. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, DNA repair, Genome biology and FEBS Open Bio.

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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