Gábor Péter

1.1k citations
54 papers · 910 · h-index 17

Impact in

    • Yeasts and Rust Fungi Studies
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • Fermentation and Sensory Analysis
    • Probiotics and Fermented Foods

Papers in

Gábor Péter

53 papers receiving 864 citations

Peers

Gábor Péter
Comparison fields: 5 of 81
  • Molecular Biology 516
  • Food Science 144
  • Cell Biology 64
  • Biotechnology 32
  • Insect Science 47
Replace Dénes Dlauchy with:
Dénes Dlauchy Hungary
Sasitorn Jindamorakot Thailand
Orsolya Molnár Hungary
C.P. Kurtzman United States
Fwu‐Ling Lee Taiwan
Noémie Jacques France
Hansjörg Prillinger Austria
Rosa Reyna Mouriño-Pérez Mexico
Marian J. Figge Netherlands
Stephen A. James United Kingdom
Gábor Péter relative to Dénes Dlauchy Hungary Dénes Dlauchy's profile →
Citations per field
00.5×2×3×3.6×
Dénes Dlauchy · 1×
Citations per year

Countries citing papers authored by Gábor Péter

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Péter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 202373
3 199957
4 200253
5 201442
6 201738
7 200136
8 202427
9 200426
10 201426
11 201324
12 200322
13 201021
14 201921
15 200719
16 201719
17 201317
18 199816
19 201616
20 201114

About Gábor Péter

Gábor Péter is a scholar working on Molecular Biology, Cell Biology, Food Science, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 54 papers that have together received 910 indexed citations. Recurring topics across this work include Yeasts and Rust Fungi Studies (49 papers), Plant Pathogens and Fungal Diseases (6 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Fungal and yeast genetics research (2 papers), Food Safety and Hygiene (2 papers), Advanced Scientific Research Methods (2 papers), Fermentation and Sensory Analysis (2 papers) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Molecular Biology (516 citations), Food Science (144 citations), Cell Biology (64 citations), Biotechnology (32 citations) and Insect Science (47 citations). Gábor Péter has collaborated with scholars based in Hungary, Slovenia and United States. Frequent co-authors include Dénes Dlauchy, Judit Tornai-Lehoczki, Neža Čadež, László Fülöp, Cletus P. Kurtzman, Carlos Augusto Rosa, Analie Lourens-Hattingh, B.C. Viljoen, Masako Takashima and Peter Raspor. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Antonie van Leeuwenhoek, Fungal Diversity, Mycosphere and International Journal of Food Microbiology.

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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