J Bíró
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- RNA Research and Splicing
Papers in ⓘ
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- RNA and protein synthesis mechanisms 28
- RNA Research and Splicing 9
- Protein Structure and Dynamics 8
- RNA modifications and cancer 7
- Genomics and Phylogenetic Studies 6
- Genetics 19
- Estrogen and related hormone effects 8
- Bacterial Genetics and Biotechnology 6
- Co-authors
- András Falus (7 shared papers)Eva G. Rakasz (3 shared papers)P. Eneroth (5 shared papers)Balázs Benyó (3 shared papers)Z. Benyó (3 shared papers)E. Martin Ritzén (3 shared papers)Clare Sansom (2 shared papers)A. Gal (1 shared paper)
- Journals
- Theoretical Biology and Medical Modelling (7 papers)Journal of Endocrinology (5 papers)Scandinavian Journal of Immunology (3 papers)European Journal of Endocrinology (3 papers)BMC Bioinformatics (2 papers)
- Partner nations
- SwedenHungaryUnited States
In The Last Decade
J Bíró
80 papers receiving 595 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 393
- Endocrinology, Diabetes and Metabolism 77
- Genetics 126
- Reproductive Medicine 34
- Behavioral Neuroscience 13
Countries citing papers authored by J Bíró
This map shows the geographic impact of J Bíró'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 J Bíró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Bíró more than expected).
Fields of papers citing papers by J Bíró
This network shows the impact of papers produced by J Bíró. 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 J Bíró. The network helps show where J Bíró may publish in the future.
Co-authors
The 25 scholars most cited alongside J Bíró, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 74 | |
| 2 | 2003 | 41 | |
| 3 | 2008 | 31 | |
| 4 | 1993 | 30 | |
| 5 | 1982 | 28 | |
| 6 | 2007 | 27 | |
| 7 | 1981 | 26 | |
| 8 | 2006 | 24 | |
| 9 | 1981 | 24 | |
| 10 | 1995 | 22 | |
| 11 | 2008 | 18 | |
| 12 | 1995 | 18 | |
| 13 | 2005 | 17 | |
| 14 | 1981 | 17 | |
| 15 | 1971 | 15 | |
| 16 | 2003 | 15 | |
| 17 | 2005 | 13 | |
| 18 | 1980 | 13 | |
| 19 | 1981 | 13 | |
| 20 | 1986 | 13 |
About J Bíró
J Bíró is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology and Immunology, having authored 87 papers that have together received 682 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (28 papers), RNA Research and Splicing (9 papers), Protein Structure and Dynamics (8 papers), Estrogen and related hormone effects (8 papers), RNA modifications and cancer (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Genomics and Phylogenetic Studies (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Molecular Biology (393 citations), Endocrinology, Diabetes and Metabolism (77 citations), Genetics (126 citations), Reproductive Medicine (34 citations) and Behavioral Neuroscience (13 citations). J Bíró has collaborated with scholars based in Sweden, Hungary and United States. Frequent co-authors include András Falus, Eva G. Rakasz, P. Eneroth, Balázs Benyó, Z. Benyó, E. Martin Ritzén, Clare Sansom, A. Gal, J Molnár and E Beregi. Their work appears in journals such as Theoretical Biology and Medical Modelling, Journal of Endocrinology, Scandinavian Journal of Immunology, European Journal of Endocrinology and BMC Bioinformatics.
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.