Béla Kocsis
- Molecular Biology top 10%
- Food Science top 2%
- Molecular Medicine top 1%
- Infectious Diseases top 5%
- Biomedical Engineering top 10%
- Co-authors
- Dóra SzabóFerenc KilárGyörgyi HorváthAnikó KilárÁgnes DörnyeiZoltán PéterfiAndrea BöszörményiTamás Lóránd
- Topics
- Antibiotic Resistance in Bacteria (32 papers)Essential Oils and Antimicrobial Activity (30 papers)Antibiotics Pharmacokinetics and Efficacy (17 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- HungaryUnited StatesItaly
In The Last Decade
Béla Kocsis
194 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 1.0k
- Food Science 502
- Molecular Medicine 499
- Infectious Diseases 460
- Biomedical Engineering 288
Countries citing papers authored by Béla Kocsis
This map shows the geographic impact of Béla Kocsis'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 Béla Kocsis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Béla Kocsis more than expected).
Fields of papers citing papers by Béla Kocsis
This network shows the impact of papers produced by Béla Kocsis. 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 Béla Kocsis. The network helps show where Béla Kocsis may publish in the future.
Co-authorship network of co-authors of Béla Kocsis
This figure shows the co-authorship network connecting the top 25 collaborators of Béla Kocsis. A scholar is included among the top collaborators of Béla Kocsis 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 Béla Kocsis. Béla Kocsis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 44 | |
| 16 | The combination of the overpressured layer chromatography and bioautography and its applications to the analysis of molecules influencing cell proliferation | 11 |
| 17 | Antibacterial activity of Thymus phenols by direct bioautography | 20 |
| 18 | 17 | |
| 19 | 43 | |
| 20 | 1 |
About Béla Kocsis
Béla Kocsis is a scholar working on Molecular Medicine, Endocrinology and Food Science, having authored 199 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (32 papers), Essential Oils and Antimicrobial Activity (30 papers) and Antibiotics Pharmacokinetics and Efficacy (17 papers). The work is most often cited by research in Molecular Medicine (499 citations), Endocrinology (247 citations) and Microbiology (264 citations). Béla Kocsis has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Dóra Szabó, Ferenc Kilár, Györgyi Horváth, Anikó Kilár, Ágnes Dörnyei, Zoltán Péterfi, Andrea Böszörményi, Tamás Lóránd, Viktória Lilla Balázs and Krisztina Kovács. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.