Dávid Becker

5.3k citations
128 papers · 3.6k · h-index 32

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 21
    • Advanced biosensing and bioanalysis techniques 9
    • Redox biology and oxidative stress 5
    • Electron Spin Resonance Studies 30

Dávid Becker

123 papers receiving 3.4k citations

Peers

Dávid Becker
Comparison fields: 5 of 153
  • Biophysics 403
  • Physical and Theoretical Chemistry 440
  • Organic Chemistry 672
  • Molecular Biology 1.4k
  • Biochemistry 139
Replace Jeongho Kim with:
Jeongho Kim South Korea
Akio Nakamura Japan
Akira Ikegami Japan
Michael W. Jones Australia
Yanqiang Yang China
Zheng Wang China
Vladimirov IuA Russia
Tiziana Parasassi Italy
Hai Lin China
Masao Suzuki Japan
Dávid Becker relative to Jeongho Kim South Korea Jeongho Kim's profile →
Citations per field
00.5×5.3×
Jeongho Kim · 1×
Citations per year

Countries citing papers authored by Dávid Becker

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992158
2 1991145
3 1998131
4 1989130
5 2012122
6 2006118
7 2004115
8 2002109
9 1990102
10 200291
11 199691
12 200288
13 199288
14 196375
15 201968
16 199667
17 198964
18 199463
19 198862
20 200761

About Dávid Becker

Dávid Becker is a scholar working on Molecular Biology, Biophysics, Organic Chemistry, Physical and Theoretical Chemistry and Spectroscopy, having authored 128 papers that have together received 3.6k indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (30 papers), DNA and Nucleic Acid Chemistry (21 papers), Free Radicals and Antioxidants (15 papers), Photochemistry and Electron Transfer Studies (15 papers), Radiation Effects and Dosimetry (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Plant Genetic and Mutation Studies (6 papers) and Redox biology and oxidative stress (5 papers). The work is most often cited by research in Biophysics (403 citations), Physical and Theoretical Chemistry (440 citations), Organic Chemistry (672 citations), Molecular Biology (1.4k citations) and Biochemistry (139 citations). Dávid Becker has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Michael D. Sevilla, Mengyao Yan, Steven G Swarts, Amitava Adhikary, Robert H. Cofield, Anil Kumar, Kenneth T. Wheeler, H. Okabe, Mark E. Gurney and Rick Danheiser. Their work appears in journals such as Radiation Research, The Journal of Physical Chemistry, Journal of the American Chemical Society, American Journal of Perinatology and International Journal of Radiation 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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