Renátó Kovács

1.6k citations
79 papers · 1.2k indexed · h-index 20
Topics
Antifungal resistance and susceptibility (52 papers)Fungal Infections and Studies (36 papers)Bacterial biofilms and quorum sensing (9 papers)

In The Last Decade

Renátó Kovács

76 papers receiving 1.2k citations

Peers

Renátó Kovács
Comparison fields: 5 of 105
  • Infectious Diseases 698
  • Epidemiology 421
  • Molecular Biology 314
  • Food Science 201
  • Plant Science 174
Replace Maryam Roudbary with:
Maryam Roudbary Iran
Guilherme Maranhão Chaves Brazil
Emeka Innocent Nweze Nigeria
N. Isham United States
Tahereh Shokohi Iran
Maria Elisa Rodrigues Portugal
László Majoros Hungary
Ana Silva-Dias Portugal
Hossein Zarrinfar Iran
Taissa Vila United States
Renátó Kovács relative to Maryam Roudbary Iran Maryam Roudbary's profile →
Citations per field
00.5×2.7×
Maryam Roudbary · 1×
Citations per year

Countries citing papers authored by Renátó Kovács

Since Specialization
Citations

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

Fields of papers citing papers by Renátó Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renátó Kovács

This figure shows the co-authorship network connecting the top 25 collaborators of Renátó Kovács. A scholar is included among the top collaborators of Renátó Kovács 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 Renátó Kovács. Renátó Kovács is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
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5 0
6 1
7 2
8 14
9 16
10 19
11 18
12 33
13 8
14 17
15 5
16 13
17 1
18
Protein Patterns and Larvicide Activity of Crystalline Inclusions of Bacillus thuringiensis ssp. kumamotoensis DSM 6070
2
19 5
20 20

About Renátó Kovács

Renátó Kovács is a scholar working on Infectious Diseases, Epidemiology and Small Animals, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (52 papers), Fungal Infections and Studies (36 papers) and Bacterial biofilms and quorum sensing (9 papers). The work is most often cited by research in Infectious Diseases (698 citations), Microbiology (145 citations) and Epidemiology (421 citations). Renátó Kovács has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include László Majoros, Zoltán Tóth, Fruzsina Nagy, Gábor Kardos, Andrew M. Borman, Lajos Forgács, Rudolf Gesztelyi, Adrien Székely, Ágnes Jakab and Ildikó Bácskay. Their work appears in journals such as Applied and Environmental Microbiology, International Journal of Molecular Sciences and Antimicrobial Agents and Chemotherapy.

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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