Gábor Paragi

1.0k citations
55 papers · 810 · h-index 16

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 12
    • Protein Structure and Dynamics 8
    • Chemical Synthesis and Analysis 7
    • Advanced biosensing and bioanalysis techniques 6

Gábor Paragi

55 papers receiving 798 citations

Peers

Gábor Paragi
Comparison fields: 5 of 93
  • Physical and Theoretical Chemistry 136
  • Molecular Biology 482
  • Organic Chemistry 170
  • Computational Theory and Mathematics 78
  • Spectroscopy 79
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Francesca Peccati Spain
Ignacio Soteras Spain
Martin Peters United States
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Citations per field
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Citations per year

Countries citing papers authored by Gábor Paragi

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Paragi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 201676
3 201846
4 201346
5 202042
6 201936
7 201029
8 201628
9 200625
10 200721
11 201820
12 202018
13 200616
14 201016
15 201315
16 202015
17 202114
18 200814
19 201914
20 201613

About Gábor Paragi

Gábor Paragi is a scholar working on Molecular Biology, Organic Chemistry, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Genetics, having authored 55 papers that have together received 810 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (12 papers), Protein Structure and Dynamics (8 papers), Chemical Synthesis and Analysis (7 papers), Crystallography and molecular interactions (7 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Advanced Chemical Physics Studies (6 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Physical and Theoretical Chemistry (136 citations), Molecular Biology (482 citations), Organic Chemistry (170 citations), Computational Theory and Mathematics (78 citations) and Spectroscopy (79 citations). Gábor Paragi has collaborated with scholars based in Hungary, Netherlands and Belgium. Frequent co-authors include Célia Fonseca Guerra, F. Matthias Bickelhaupt, Botond Penke, F. Zaccaria, Ferenc Bogár, Lajos Kovács, Zoltán Kele, Zoltán Kupihár, György M. Keserű and Ákos Tarcsay. Their work appears in journals such as New Journal of Chemistry, Molecules, International Journal of Molecular Sciences, Journal of Enzyme Inhibition and Medicinal Chemistry and Chemistry - A European Journal.

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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