Julio Caballero

5.5k citations
172 papers · 4.4k indexed · 1 hit paper · h-index 37

Julio Caballero

169 papers receiving 4.3k citations

Hit Papers

Is It Reliable to Take the Molecular Docking Top Scoring ...3942018202620202023100200300

Peers

Julio Caballero
Comparison fields: 5 of 157
  • Computational Theory and Mathematics 1.5k
  • Organic Chemistry 1.2k
  • Toxicology 108
  • Molecular Biology 2.0k
  • Pharmacology 446
Replace Markus K. Dahlgren with:
Markus K. Dahlgren United States
G. Madhavi Sastry India
Alexander W. Schüttelkopf United Kingdom
Thomas Mavromoustakos Greece
Paul M. Selzer Germany
Aurélien Grosdidier Switzerland
Ravichandran Veerasamy India
Paul C. Sanschagrin United States
Nadine Homeyer Germany
Meng Cui United States
Julio Caballero relative to Markus K. Dahlgren United States Markus K. Dahlgren's profile →
Citations per field
00.5×1.5×1.9×
Markus K. Dahlgren · 1×
Citations per year

Countries citing papers authored by Julio Caballero

Since Specialization
Citations

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

Fields of papers citing papers by Julio Caballero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julio Caballero. 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 Julio Caballero. The network helps show where Julio Caballero may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Julio Caballero, 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 Julio Caballero Line = papers co-authored together Julio Caballero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20241
4 20232
5 20217
6 201917
7 201911
8 201820
9 20178
10 20158
11 201416
12 20146
13 201353
14 201236
15 201143
16 201059
17 20108
18 200739
19 200575
20 200317

About Julio Caballero

Julio Caballero is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology, having authored 172 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (58 papers), Protein Structure and Dynamics (28 papers), Synthesis and biological activity (18 papers), Enzyme Structure and Function (18 papers), Cholinesterase and Neurodegenerative Diseases (13 papers), Machine Learning in Bioinformatics (9 papers), RNA and protein synthesis mechanisms (9 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Organic Chemistry (1.2k citations) and Toxicology (108 citations). Julio Caballero has collaborated with scholars based in Chile, Cuba and Spain. Frequent co-authors include Michael Fernández, David Ramírez, Jans Alzate‐Morales, Leyden Fernández, William Tiznado, Alain Tundidor‐Camba, Fernando D. González‐Nilo, Ariela Vergara‐Jaque, Eduardo Fuentes and José Ignacio Abreu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

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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