Facundo Pérez‐Giménez
Impact in
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- Computational Drug Discovery Methods
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
Papers in
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- Computational Drug Discovery Methods 34
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- Free Radicals and Antioxidants 7
- Synthesis and biological activity 6
- Synthesis and Biological Evaluation 4
- Co-authors
- Yovani Marrero‐Ponce (25 shared papers)Stephen J. Barigye (12 shared papers)Francisco Torrens (17 shared papers)Wladimiro Dı́az-Villanueva (4 shared papers)César R. García‐Jacas (3 shared papers)Gerardo M. Casañola‐Martín (7 shared papers)María José Castro-Bleda (3 shared papers)G.M. Antón-Fos (7 shared papers)
In The Last Decade
Facundo Pérez‐Giménez
44 papers receiving 626 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 471
- Spectroscopy 156
- Organic Chemistry 151
- Analytical Chemistry 41
- Molecular Biology 285
Countries citing papers authored by Facundo Pérez‐Giménez
This map shows the geographic impact of Facundo Pérez‐Giménez'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 Facundo Pérez‐Giménez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Facundo Pérez‐Giménez more than expected).
Fields of papers citing papers by Facundo Pérez‐Giménez
This network shows the impact of papers produced by Facundo Pérez‐Giménez. 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 Facundo Pérez‐Giménez. The network helps show where Facundo Pérez‐Giménez may publish in the future.
Co-authors
The 25 scholars most cited alongside Facundo Pérez‐Giménez, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2004 | 54 | |
| 3 | 2003 | 53 | |
| 4 | 2015 | 48 | |
| 5 | 2014 | 34 | |
| 6 | 2003 | 29 | |
| 7 | 2000 | 28 | |
| 8 | 2015 | 26 | |
| 9 | 2013 | 25 | |
| 10 | 2015 | 24 | |
| 11 | 2008 | 23 | |
| 12 | 2009 | 19 | |
| 13 | 1996 | 19 | |
| 14 | 2014 | 17 | |
| 15 | 2011 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 1994 | 14 | |
| 18 | 2001 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2016 | 10 |
About Facundo Pérez‐Giménez
Facundo Pérez‐Giménez is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Spectroscopy, Molecular Biology and Geometry and Topology, having authored 48 papers that have together received 645 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (34 papers), Analytical Chemistry and Chromatography (12 papers), Free Radicals and Antioxidants (7 papers), Graph theory and applications (7 papers), Synthesis and biological activity (6 papers), Molecular spectroscopy and chirality (5 papers), Machine Learning in Bioinformatics (4 papers) and Synthesis and Biological Evaluation (4 papers). The work is most often cited by research in Computational Theory and Mathematics (471 citations), Spectroscopy (156 citations), Organic Chemistry (151 citations), Analytical Chemistry (41 citations) and Molecular Biology (285 citations). Facundo Pérez‐Giménez has collaborated with scholars based in Spain, Cuba and Colombia. Frequent co-authors include Yovani Marrero‐Ponce, Stephen J. Barigye, Francisco Torrens, Wladimiro Dı́az-Villanueva, César R. García‐Jacas, Gerardo M. Casañola‐Martín, María José Castro-Bleda, G.M. Antón-Fos, Juan A. Castillo‐Garit and Hai Pham‐The. Their work appears in journals such as Molecular Diversity, Chromatographia, SAR and QSAR in environmental research, Current Topics in Medicinal Chemistry and Journal of Theoretical 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.