Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Plant Phenolics and Phenolic-Enriched Extracts as Antimicrobial Agents against Food-Contaminating Microorganisms
2020255 citationsMiklós Takó, Erika Beáta Kerekes et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of Tamás Papp'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 Tamás Papp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Papp more than expected).
This network shows the impact of papers produced by Tamás Papp. 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 Tamás Papp. The network helps show where Tamás Papp may publish in the future.
Co-authorship network of co-authors of Tamás Papp
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Papp.
A scholar is included among the top collaborators of Tamás Papp based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Tamás Papp. Tamás Papp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nyilasi, Ildikó, Márta Hegyi, Muthusamy Chandrasekaran, et al.. (2015). Hygromycin B, carboxin and nourseothricin susceptibility of polyunsaturated fatty acid producing Mortierella and Umbelopsis strains. Acta Biologica Szegediensis. 59(1). 11–18.1 indexed citations
9.
Kotogán, Alexandra, et al.. (2014). Screening for Extracellular Lipase Enzymes with Transesterification Capacity in Mucoromycotina Strains. SHILAP Revista de lepidopterología.25 indexed citations
10.
Csernetics, Árpád, et al.. (2014). expression of a bacterial β-carotene hydroxylase in canthaxanthin producing mutant Mucor circinelloides strains. Acta Biologica Szegediensis. 58(2). 139–146.1 indexed citations
Krisch, Judit, et al.. (2010). Antimicrobial effects of commercial herbs, spices and essential oils in minced pork. Acta Biologica Szegediensis. 54(2). 131–134.19 indexed citations
15.
Nyilasi, Ildikó, Sándor Kocsubé́, László Galgóczy, et al.. (2010). Effect of different statins on the antifungal activity of polyene antimycotics. Acta Biologica Szegediensis. 54(1). 33–36.10 indexed citations
16.
Galgóczy, László, et al.. (2010). Antioxidant and antimicrobial activities of fruit juices and pomace extracts against acne-inducing bacteria. Acta Biologica Szegediensis. 54(1). 45–49.19 indexed citations
17.
Krisch, Judit, et al.. (2008). effect of fruit juices and pomace extracts on the growth of Gram-positive and Gram-negative bacteria. Acta Biologica Szegediensis. 52(2). 267–270.44 indexed citations
Papp, Tamás, et al.. (2004). Genetic variability of astaxanthin-producing yeasts: Random amplified polymorphic DNA (RAPD) analysis of Phaffia rhodozyma and Xanthopyllomyces dendrorhous. Acta Biologica Szegediensis. 48. 35–38.9 indexed citations
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.