Csaba Pál
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 14
- Genetics top 0.5%
- Evolution and Genetic Dynamics 31
- Bacterial Genetics and Biotechnology 14
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 18
- RNA and protein synthesis mechanisms 15
- Bioinformatics and Genomic Networks 14
- Genomics and Phylogenetic Studies 13
- Microbial Metabolic Engineering and Bioproduction 12
- Aging top 2%
- Endocrinology top 2%
- Co-authors
- Balázs PappLaurence D. HurstMartin J. LercherViktória LázárÁkos NyergesBálint CsörgőGergely FeketeAngus Buckling
- Journals
- Molecular Biology and Evolution (7 papers)Trends in Genetics (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Csaba Pál
91 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Molecular Medicine 636
- Genetics 2.7k
- Molecular Biology 5.4k
- Aging 101
- Endocrinology 195
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 64 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 89 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 42 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 35 | |
| 15 | 2019 | 60 | |
| 16 | 2018 | 32 | |
| 17 | 2018 | 75 | |
| 18 | 2018 | 63 | |
| 19 | 2004 | 273 | |
| 20 | 2001 | 74 |
About Csaba Pál
Csaba Pál is a scholar working on Molecular Medicine, Genetics and Toxicology, having authored 93 papers that have together received 7.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (31 papers), CRISPR and Genetic Engineering (18 papers), RNA and protein synthesis mechanisms (15 papers), Antibiotic Resistance in Bacteria (14 papers), Bioinformatics and Genomic Networks (14 papers), Bacterial Genetics and Biotechnology (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 (636 citations), Genetics (2.7k citations) and Molecular Biology (5.4k 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, Stephen G. Oliver and István Nagy. Their work appears in journals such as Molecular Biology and Evolution, Trends in Genetics, Proceedings of the National Academy of Sciences, Nature Communications 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.