Horacio Pérez‐Sánchez

208 papers receiving 4.1k citations

Hit Papers

MCC950 closes the active conformation of NLRP3 to an inactive state 2019 · 328 citations
3282019202620212023100200300

Peers

Horacio Pérez‐Sánchez
Comparison fields: 5 of 184
  • Computational Theory and Mathematics 954
  • Biochemistry 209
  • Molecular Biology 1.8k
  • Pharmacology 185
  • Complementary and alternative medicine 173
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Jie Dong China
Habibah A. Wahab Malaysia
Ming‐Wei Wang China
Julio Caballero Chile
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Horacio Pérez‐Sánchez relative to Jie Dong China Jie Dong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Horacio Pérez‐Sánchez

Since Specialization
Citations

This map shows the geographic impact of Horacio Pérez‐Sánchez'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 Horacio Pérez‐Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Horacio Pérez‐Sánchez more than expected).

Fields of papers citing papers by Horacio Pérez‐Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Horacio Pérez‐Sánchez. 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 Horacio Pérez‐Sánchez. The network helps show where Horacio Pérez‐Sánchez may publish in the future.

Co-authors

The 25 scholars most cited alongside Horacio Pérez‐Sánchez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Horacio Pérez‐Sánchez Line = papers co-authored together Horacio Pérez‐Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202415
2 20240
3 20244
4 20240
5 20245
6 20242
7 20243
8 20234
9 20236
10 20232
11 202211
12 20227
13 20224
14 20209
15 20194
16 201815
17 201714
18 201620
19 201617
20 201518

About Horacio Pérez‐Sánchez

Horacio Pérez‐Sánchez is a scholar working on Computational Theory and Mathematics, Biochemistry, Information Systems and Management, Pharmaceutical Science and Molecular Biology, having authored 219 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (68 papers), Protein Structure and Dynamics (26 papers), Machine Learning in Materials Science (14 papers), Scientific Computing and Data Management (12 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Drug Solubulity and Delivery Systems (10 papers), Enzyme Structure and Function (10 papers) and Distributed and Parallel Computing Systems (9 papers). The work is most often cited by research in Computational Theory and Mathematics (954 citations), Biochemistry (209 citations), Molecular Biology (1.8k citations), Pharmacology (185 citations) and Complementary and alternative medicine (173 citations). Horacio Pérez‐Sánchez has collaborated with scholars based in Spain, India and Poland. Frequent co-authors include José P. Cerón‐Carrasco, Jorge Peña‐García, Fahimeh Ghasemi, José M. Cecilia, Antonio Jesús Banegas‐Luna, Alireza Mehridehnavi, Afshin Fassihi, Alfonso Pérez, José M. Garcı́a and Grażyna Budryn. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Journal of Chemical Information and Modeling, Journal of Biomolecular Structure and Dynamics and RSC Advances.

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.

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