László Dobson
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Biochemistry top 10%
Papers in
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- Protein Structure and Dynamics 20
- Machine Learning in Bioinformatics 9
- Bioinformatics and Genomic Networks 4
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 1
- Genetics 2
- Genomics and Rare Diseases 2
- Co-authors
- Gábor Tusnády (18 shared papers)István Reményi (4 shared papers)András Zeke (7 shared papers)Bálint Mészáros (6 shared papers)Toby J. Gibson (3 shared papers)Rita Pancsa (2 shared papers)Sushama Michael (1 shared paper)Péter Tompa (2 shared papers)
In The Last Decade
László Dobson
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 867
- Biochemistry 35
- Genetics 125
- Spectroscopy 63
- Cell Biology 47
Countries citing papers authored by László Dobson
This map shows the geographic impact of László Dobson'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 László Dobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Dobson more than expected).
Fields of papers citing papers by László Dobson
This network shows the impact of papers produced by László Dobson. 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 László Dobson. The network helps show where László Dobson may publish in the future.
Co-authors
The 25 scholars most cited alongside László Dobson, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 337 | |
| 2 | 2021 | 178 | |
| 3 | 2021 | 128 | |
| 4 | 2015 | 100 | |
| 5 | 2020 | 92 | |
| 6 | 2023 | 84 | |
| 7 | 2023 | 83 | |
| 8 | 2022 | 61 | |
| 9 | 2014 | 39 | |
| 10 | 2015 | 27 | |
| 11 | 2023 | 16 | |
| 12 | 2017 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2016 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2018 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 5 |
About László Dobson
László Dobson is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Cell Biology and Spectroscopy, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Machine Learning in Bioinformatics (9 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (2 papers), Research on Leishmaniasis Studies (2 papers), Genomics and Rare Diseases (2 papers), RNA Research and Splicing (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (867 citations), Biochemistry (35 citations), Genetics (125 citations), Spectroscopy (63 citations) and Cell Biology (47 citations). László Dobson has collaborated with scholars based in Hungary, Germany and Belgium. Frequent co-authors include Gábor Tusnády, István Reményi, András Zeke, Bálint Mészáros, Toby J. Gibson, Rita Pancsa, Sushama Michael, Péter Tompa, Hugo Sámano‐Sánchez and Nazanin Farahi. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Scientific Reports, Bioinformatics and International Journal of Molecular Sciences.
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.