Július Šubík
Impact in
- Biochemistry top 5%
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
Papers in
-
- Fungal and yeast genetics research 32
- Mitochondrial Function and Pathology 19
- Photosynthetic Processes and Mechanisms 13
- Microbial Metabolic Engineering and Bioproduction 12
- RNA and protein synthesis mechanisms 11
- Polyamine Metabolism and Applications 8
- Genetics 10
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Ladislav Kováč (11 shared papers)Jordan Kolarov (11 shared papers)Agnés Delahodde (2 shared papers)Claude Jacq (2 shared papers)Elvira Carvajal (1 shared paper)Thierry Delaveau (1 shared paper)Yvetta Gbelská (14 shared papers)André Goffeau (4 shared papers)
In The Last Decade
Július Šubík
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Biochemistry 139
- Infectious Diseases 305
- Molecular Biology 1.2k
- Clinical Biochemistry 75
- Cell Biology 159
Countries citing papers authored by Július Šubík
This map shows the geographic impact of Július Šubík'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 Július Šubík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Július Šubík more than expected).
Fields of papers citing papers by Július Šubík
This network shows the impact of papers produced by Július Šubík. 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 Július Šubík. The network helps show where Július Šubík may publish in the future.
Co-authors
The 25 scholars most cited alongside Július Šubík, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 185 | |
| 2 | 2004 | 82 | |
| 3 | 2006 | 70 | |
| 4 | 1972 | 67 | |
| 5 | 1986 | 57 | |
| 6 | 1980 | 50 | |
| 7 | 1977 | 49 | |
| 8 | 1993 | 49 | |
| 9 | 1998 | 48 | |
| 10 | 1983 | 47 | |
| 11 | 1967 | 42 | |
| 12 | 1972 | 42 | |
| 13 | 1972 | 38 | |
| 14 | 2003 | 36 | |
| 15 | 1974 | 33 | |
| 16 | 2009 | 30 | |
| 17 | 1970 | 29 | |
| 18 | 1974 | 29 | |
| 19 | 2000 | 28 | |
| 20 | 2006 | 28 |
About Július Šubík
Július Šubík is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Cell Biology and Plant Science, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (32 papers), Mitochondrial Function and Pathology (19 papers), Photosynthetic Processes and Mechanisms (13 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), RNA and protein synthesis mechanisms (11 papers), Antifungal resistance and susceptibility (9 papers), Bacterial Genetics and Biotechnology (8 papers) and Polyamine Metabolism and Applications (8 papers). The work is most often cited by research in Biochemistry (139 citations), Infectious Diseases (305 citations), Molecular Biology (1.2k citations), Clinical Biochemistry (75 citations) and Cell Biology (159 citations). Július Šubík has collaborated with scholars based in Slovakia, Czechia and Belgium. Frequent co-authors include Ladislav Kováč, Jordan Kolarov, Agnés Delahodde, Claude Jacq, Elvira Carvajal, Thierry Delaveau, Yvetta Gbelská, André Goffeau, Miroslav Borovský and Stanisław Ułaszewski. Their work appears in journals such as Current Genetics, International Journal of Antimicrobial Agents, Biochimica et Biophysica Acta (BBA) - Bioenergetics, European Journal of Biochemistry and FEBS Letters.
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.