Francisco Torrens
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 10%
- Organic Chemistry top 2%
- Materials Chemistry top 10%
- Spectroscopy top 2%
- Co-authors
- Yovani Marrero‐PonceGloria CastellanoJuan A. Castillo‐GaritJ. Sánchez-Marı́nGerardo M. Casañola‐MartínEduardo A. CastroVicente Romero ZaldívarRichard Rotondo
- Topics
- Computational Drug Discovery Methods (100 papers)Protein Structure and Dynamics (26 papers)Carbon Nanotubes in Composites (21 papers)
In The Last Decade
Francisco Torrens
220 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 136
- Computational Theory and Mathematics 1.5k
- Molecular Biology 1.1k
- Organic Chemistry 915
- Materials Chemistry 574
- Spectroscopy 431
Countries citing papers authored by Francisco Torrens
This map shows the geographic impact of Francisco Torrens'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 Francisco Torrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Torrens more than expected).
Fields of papers citing papers by Francisco Torrens
This network shows the impact of papers produced by Francisco Torrens. 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 Francisco Torrens. The network helps show where Francisco Torrens may publish in the future.
Co-authorship network of co-authors of Francisco Torrens
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Torrens. A scholar is included among the top collaborators of Francisco Torrens 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 Francisco Torrens. Francisco Torrens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | From Asia to Mediterranean: Soya bean, Spanish legumes and commercial Soya Bean principal component, cluster and meta analyses | 0 |
| 12 | 17 | |
| 13 | Atom-based 3D-chiral quadratic indices. Part 3: prediction of the binding affinity of the stereoisomers of fenoterolto the β2 adrenergic receptor | 1 |
| 14 | 4 | |
| 15 | Evaluating Summaries Automatically - A system Proposal | 5 |
| 16 | Peptide potencial energy surfaces and protein folding | 2 |
| 17 | Nucleic acid quadratic indices of the "macromolecular graph's nucleotides adjacency matrix" | 3 |
| 18 | A new chemical index inspired by biological plastic evolution | 7 |
| 19 | 11 | |
| 20 | Didáctica empírica de la forma molecular | 0 |
About Francisco Torrens
Francisco Torrens is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Filtration and Separation, having authored 229 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (100 papers), Protein Structure and Dynamics (26 papers) and Carbon Nanotubes in Composites (21 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Organic Chemistry (915 citations) and Spectroscopy (431 citations). Francisco Torrens has collaborated with scholars based in Spain, Cuba and Argentina. Frequent co-authors include Yovani Marrero‐Ponce, Gloria Castellano, Juan A. Castillo‐Garit, J. Sánchez-Marı́n, Gerardo M. Casañola‐Martín, Eduardo A. Castro, Vicente Romero Zaldívar, Richard Rotondo, Concepción Abad and Mahmud Tareq Hassan Khan. Their work appears in journals such as Chemosphere, International Journal of Molecular Sciences 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.