Gábor Draskovits

653 citations
10 papers · 388 · h-index 10

Impact in

Papers in

    • Cancer therapeutics and mechanisms 5
    • CRISPR and Genetic Engineering 2
    • DNA and Nucleic Acid Chemistry 1
    • Antibiotic Resistance in Bacteria 5

Gábor Draskovits

10 papers receiving 388 citations

Peers

Gábor Draskovits
Comparison fields: 5 of 60
  • Molecular Medicine 56
  • Toxicology 34
  • Genetics 127
  • Molecular Biology 283
  • Endocrinology 16
Replace Dmitry Ghilarov with:
Dmitry Ghilarov Russia
Ekaterina S. Komarova Russia
Petra Szili Hungary
Weizhi He China
Nohemy A. Sorto United States
Dierk‐Christoph Pöther Germany
Asha S. Nayar United States
Fang Bai United States
Andrew L. Staley United States
Varvara Pokrovskaya Israel
Gábor Draskovits relative to Dmitry Ghilarov Russia Dmitry Ghilarov's profile →
Citations per field
00.5×2.6×
Dmitry Ghilarov · 1×
Citations per year

Countries citing papers authored by Gábor Draskovits

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Draskovits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201866
2 201662
3 201554
4 201748
5 201943
6 201939
7 201832
8 201918
9 202015
10 202011

About Gábor Draskovits

Gábor Draskovits is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Toxicology and Organic Chemistry, having authored 10 papers that have together received 388 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), Antibiotic Resistance in Bacteria (5 papers), Evolution and Genetic Dynamics (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Medicine (56 citations), Toxicology (34 citations), Genetics (127 citations), Molecular Biology (283 citations) and Endocrinology (16 citations). Gábor Draskovits has collaborated with scholars based in Hungary, Slovenia and Finland. Frequent co-authors include Csaba Pál, Ákos Nyerges, György Pósfai, Tamás Révész, Petra Szili, Tamás Gaál, István Nagy, Tamás Fehér, Tihomir Tomašič and D. Kikelj. Their work appears in journals such as European Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Pharmaceutics, Proceedings of the National Academy of Sciences and ChemMedChem.

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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