Fernando D. Prieto‐Martínez
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Organic Chemistry
- Pharmacology
- Materials Chemistry
- Co-authors
- José L. Medina‐FrancoMarcelino ArciniegaOscar Méndez‐LucioMariana González-MedinaEdgar López‐LópezJohn R. OwenNorberto Sánchez‐CruzJ. Jesús Naveja
- Topics
- Computational Drug Discovery Methods (13 papers)Epigenetics and DNA Methylation (5 papers)Protein Degradation and Inhibitors (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesMolecules
- Partner nations
- MexicoUnited StatesPortugal
In The Last Decade
Fernando D. Prieto‐Martínez
22 papers receiving 443 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 271
- Computational Theory and Mathematics 229
- Organic Chemistry 109
- Pharmacology 87
- Materials Chemistry 27
Countries citing papers authored by Fernando D. Prieto‐Martínez
This map shows the geographic impact of Fernando D. Prieto‐Martínez'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 Fernando D. Prieto‐Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando D. Prieto‐Martínez more than expected).
Fields of papers citing papers by Fernando D. Prieto‐Martínez
This network shows the impact of papers produced by Fernando D. Prieto‐Martínez. 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 Fernando D. Prieto‐Martínez. The network helps show where Fernando D. Prieto‐Martínez may publish in the future.
Co-authorship network of co-authors of Fernando D. Prieto‐Martínez
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando D. Prieto‐Martínez. A scholar is included among the top collaborators of Fernando D. Prieto‐Martínez 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 Fernando D. Prieto‐Martínez. Fernando D. Prieto‐Martínez 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 | 27 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 33 | |
| 7 | 15 | |
| 8 | 19 | |
| 9 | 27 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 69 | |
| 15 | Review. One Drug for Multiple Targets: A Computational Perspective | 18 |
| 16 | 59 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 35 | |
| 20 | 24 |
About Fernando D. Prieto‐Martínez
Fernando D. Prieto‐Martínez is a scholar working on Computational Theory and Mathematics, Molecular Biology and Environmental Chemistry, having authored 23 papers that have together received 455 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Epigenetics and DNA Methylation (5 papers) and Protein Degradation and Inhibitors (5 papers). The work is most often cited by research in Computational Theory and Mathematics (229 citations), Pharmacology (87 citations) and Molecular Biology (271 citations). Fernando D. Prieto‐Martínez has collaborated with scholars based in Mexico, United States and Portugal. Frequent co-authors include José L. Medina‐Franco, Marcelino Arciniega, Oscar Méndez‐Lucio, Mariana González-Medina, Edgar López‐López, John R. Owen, Norberto Sánchez‐Cruz, J. Jesús Naveja, Eli Fernández‐de Gortari and Fernanda I. Saldívar‐González. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.
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.