Leandro Radusky
-
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 4
- RNA Research and Splicing 4
-
- Computational Drug Discovery Methods 4
-
- Tuberculosis Research and Epidemiology 2
-
- Enzyme Structure and Function 5
-
- Diphtheria, Corynebacterium, and Tetanus 2
- Co-authors
- Luís SerranoJavier DelgadoDamiano CianferoniDiego U. FerreiroR. Gonzalo ParraPeter G. WolynesAdrián G. TurjanskiNicholas P. Schafer
- Partner nations
- SpainArgentinaUnited States
In The Last Decade
Leandro Radusky
20 papers receiving 812 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 646
- Computational Theory and Mathematics 85
- Infectious Diseases 88
- Cell Biology 72
- Genetics 122
Countries citing papers authored by Leandro Radusky
This map shows the geographic impact of Leandro Radusky'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 Leandro Radusky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro Radusky more than expected).
Fields of papers citing papers by Leandro Radusky
This network shows the impact of papers produced by Leandro Radusky. 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 Leandro Radusky. The network helps show where Leandro Radusky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leandro Radusky, 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 | 2024 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 230 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 12 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 39 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 167 | |
| 16 | 2016 | 38 | |
| 17 | 2015 | 16 | |
| 18 | 2015 | 24 | |
| 19 | 2014 | 32 | |
| 20 | 2012 | 127 |
About Leandro Radusky
Leandro Radusky is a scholar working on Endocrinology, Molecular Biology, Computational Theory and Mathematics, Small Animals and Pharmacology, having authored 20 papers that have together received 819 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme Structure and Function (5 papers), Computational Drug Discovery Methods (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Tuberculosis Research and Epidemiology (2 papers) and Diphtheria, Corynebacterium, and Tetanus (2 papers). The work is most often cited by research in Molecular Biology (646 citations), Computational Theory and Mathematics (85 citations), Infectious Diseases (88 citations), Cell Biology (72 citations) and Genetics (122 citations). Leandro Radusky has collaborated with scholars based in Spain, Argentina and United States. Frequent co-authors include Luís Serrano, Javier Delgado, Damiano Cianferoni, Diego U. Ferreiro, R. Gonzalo Parra, Peter G. Wolynes, Adrián G. Turjanski, Nicholas P. Schafer, Min‐Yeh Tsai and Michael Jenik. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Frontiers in Genetics, BMC Genomics and PLoS Computational Biology.
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.