Csaba Pál
Impact in
- Molecular Medicine top 0.5%
- Genetics top 0.5%
- Evolution and Genetic Dynamics
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 49
- Evolution and Genetic Dynamics 33
- Bacterial Genetics and Biotechnology 14
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- CRISPR and Genetic Engineering 19
- Bioinformatics and Genomic Networks 17
- RNA and protein synthesis mechanisms 16
- Genomics and Phylogenetic Studies 13
- Microbial Metabolic Engineering and Bioproduction 12
- Co-authors
- Balázs Papp (49 shared papers)Laurence D. Hurst (18 shared papers)Martin J. Lercher (8 shared papers)Viktória Lázár (14 shared papers)Ákos Nyerges (24 shared papers)Bálint Csörgő (16 shared papers)Gergely Fekete (14 shared papers)Angus Buckling (2 shared papers)
- Journals
- Molecular Biology and Evolution (8 papers)Proceedings of the National Academy of Sciences (6 papers)Nature Communications (5 papers)Trends in Genetics (5 papers)Nature (5 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Csaba Pál
95 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 171
- Molecular Medicine 624
- Genetics 2.7k
- Molecular Biology 5.4k
- Aging 101
- Endocrinology 190
Countries citing papers authored by Csaba Pál
This map shows the geographic impact of Csaba Pál'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 Csaba Pál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Pál more than expected).
Fields of papers citing papers by Csaba Pál
This network shows the impact of papers produced by Csaba Pál. 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 Csaba Pál. The network helps show where Csaba Pál may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Pál, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 652 | |
| 2 | 2004 | 548 | |
| 3 | 2001 | 505 | |
| 4 | 2006 | 411 | |
| 5 | 2005 | 392 | |
| 6 | 2004 | 284 | |
| 7 | 2013 | 272 | |
| 8 | 2007 | 258 | |
| 9 | 2014 | 221 | |
| 10 | 2014 | 193 | |
| 11 | 2006 | 188 | |
| 12 | 2015 | 188 | |
| 13 | 2016 | 168 | |
| 14 | 2011 | 164 | |
| 15 | 2007 | 150 | |
| 16 | 2007 | 141 | |
| 17 | 2003 | 139 | |
| 18 | 2007 | 134 | |
| 19 | 1999 | 129 | |
| 20 | 2014 | 127 |
About Csaba Pál
Csaba Pál is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Microbiology and Toxicology, having authored 100 papers that have together received 8.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (33 papers), CRISPR and Genetic Engineering (19 papers), Bioinformatics and Genomic Networks (17 papers), RNA and protein synthesis mechanisms (16 papers), Bacterial Genetics and Biotechnology (14 papers), Antibiotic Resistance in Bacteria (14 papers), Genomics and Phylogenetic Studies (13 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). The work is most often cited by research in Molecular Medicine (624 citations), Genetics (2.7k citations), Molecular Biology (5.4k citations), Aging (101 citations) and Endocrinology (190 citations). Csaba Pál has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Balázs Papp, Laurence D. Hurst, Martin J. Lercher, Viktória Lázár, Ákos Nyerges, Bálint Csörgő, Gergely Fekete, Angus Buckling, István Nagy and György Pósfai. Their work appears in journals such as Molecular Biology and Evolution, Proceedings of the National Academy of Sciences, Nature Communications, Trends in Genetics and Nature.
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.