Leonel F. Murga
- Molecular Biology
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Immunology
- Physical and Theoretical Chemistry
- Co-authors
- Mary Jo OndrechenYing WeiJaeju KoRonald J. WilliamsIhsan A. ShehadiDavid E. BudilAlessandro FerrettiGiovanni Villani
- Topics
- Protein Structure and Dynamics (9 papers)Enzyme Structure and Function (6 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- United StatesDenmarkUnited Arab Emirates
In The Last Decade
Leonel F. Murga
18 papers receiving 324 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 240
- Materials Chemistry 122
- Computational Theory and Mathematics 65
- Immunology 37
- Physical and Theoretical Chemistry 23
Countries citing papers authored by Leonel F. Murga
This map shows the geographic impact of Leonel F. Murga'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 Leonel F. Murga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonel F. Murga more than expected).
Fields of papers citing papers by Leonel F. Murga
This network shows the impact of papers produced by Leonel F. Murga. 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 Leonel F. Murga. The network helps show where Leonel F. Murga may publish in the future.
Co-authorship network of co-authors of Leonel F. Murga
This figure shows the co-authorship network connecting the top 25 collaborators of Leonel F. Murga. A scholar is included among the top collaborators of Leonel F. Murga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonel F. Murga. Leonel F. Murga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 41 | |
| 3 | 8 | |
| 4 | 26 | |
| 5 | 53 | |
| 6 | Computed protonation properties: unique capabilities for protein functional site prediction. | 5 |
| 7 | 3 | |
| 8 | 32 | |
| 9 | 47 | |
| 10 | 7 | |
| 11 | THEMATICS is effective for active site prediction in comparative model structures | 1 |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 5 |
About Leonel F. Murga
Leonel F. Murga is a scholar working on Electrochemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (6 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (65 citations), Molecular Biology (240 citations) and Materials Chemistry (122 citations). Leonel F. Murga has collaborated with scholars based in United States, Denmark and United Arab Emirates. Frequent co-authors include Mary Jo Ondrechen, Ying Wei, Jaeju Ko, Ronald J. Williams, Ihsan A. Shehadi, David E. Budil, Alessandro Ferretti, Giovanni Villani, Alessandro Lami and Dagmar Ringe. Their work appears in journals such as Journal of the American Chemical Society, Immunity and Chemical Physics Letters.
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.