Carlos A. Perez

2.1k total citations
34 papers, 1.3k citations indexed

About

Carlos A. Perez is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Carlos A. Perez has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Infectious Diseases and 7 papers in Computational Theory and Mathematics. Recurrent topics in Carlos A. Perez's work include Computational Drug Discovery Methods (7 papers), HIV/AIDS drug development and treatment (6 papers) and Protein Structure and Dynamics (5 papers). Carlos A. Perez is often cited by papers focused on Computational Drug Discovery Methods (7 papers), HIV/AIDS drug development and treatment (6 papers) and Protein Structure and Dynamics (5 papers). Carlos A. Perez collaborates with scholars based in United States, Spain and Belgium. Carlos A. Perez's co-authors include Maolin Guo, Yibin Wei, Federico Gago, Ángel R. Ortíz, Sonsoles Velázquez, Jan Balzarini, Marı́a-José Camarasa, Manuel Pastor, Rosa Álvarez and Erik De Clercq and has published in prestigious journals such as Cancer Research, The Plant Journal and Journal of Medicinal Chemistry.

In The Last Decade

Carlos A. Perez

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlos A. Perez United States 16 544 511 177 139 118 34 1.3k
Anna Ramunno Italy 18 372 0.7× 543 1.1× 86 0.5× 112 0.8× 161 1.4× 41 1.3k
Noeris K. Salam Australia 15 300 0.6× 724 1.4× 321 1.8× 167 1.2× 80 0.7× 19 1.2k
E H Ulm United States 23 281 0.5× 1.1k 2.1× 160 0.9× 146 1.1× 51 0.4× 47 1.6k
Mallika Alvala India 25 689 1.3× 766 1.5× 128 0.7× 136 1.0× 104 0.9× 68 1.6k
Bradley C. Pearce United States 18 451 0.8× 544 1.1× 128 0.7× 75 0.5× 60 0.5× 33 1.5k
George Lambrinidis Greece 18 155 0.3× 581 1.1× 204 1.2× 70 0.5× 116 1.0× 53 1.1k
Tarfah Al‐Warhi Saudi Arabia 25 1.1k 2.0× 802 1.6× 156 0.9× 173 1.2× 78 0.7× 59 1.8k
Han‐Zhong Zhang United States 17 549 1.0× 531 1.0× 58 0.3× 219 1.6× 54 0.5× 33 1.4k
Zhenjiang Zhao China 24 395 0.7× 834 1.6× 168 0.9× 85 0.6× 78 0.7× 93 1.5k
Matteo Incerti Italy 22 1.2k 2.2× 581 1.1× 135 0.8× 212 1.5× 61 0.5× 67 2.0k

Countries citing papers authored by Carlos A. Perez

Since Specialization
Citations

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

Fields of papers citing papers by Carlos A. Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos A. Perez. 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 Carlos A. Perez. The network helps show where Carlos A. Perez may publish in the future.

Co-authorship network of co-authors of Carlos A. Perez

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos A. Perez. A scholar is included among the top collaborators of Carlos A. Perez 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 Carlos A. Perez. Carlos A. Perez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jin, Najia, William F. Matter, Laura F. Michael, et al.. (2021). The Angiopoietin-Like Protein 3 and 8 Complex Interacts with Lipoprotein Lipase and Induces LPL Cleavage. ACS Chemical Biology. 16(3). 457–462. 26 indexed citations
2.
Isaacson, Brandon, et al.. (2018). Pathophysiology of sensorineural hearing loss in jugular foramen paraganglioma. The Laryngoscope. 129(1). 67–75. 4 indexed citations
3.
Drwal, Malgorzata N., Célien Jacquemard, Carlos A. Perez, Jérémy Desaphy, & Esther Kellenberger. (2017). Do Fragments and Crystallization Additives Bind Similarly to Drug-like Ligands?. Journal of Chemical Information and Modeling. 57(5). 1197–1209. 12 indexed citations
4.
McIntyre, John B., et al.. (2012). Patterns of dural involvement in sinonasal tumors: prospective correlation of magnetic resonance imaging and histopathologic findings. International Forum of Allergy & Rhinology. 2(4). 336–341. 17 indexed citations
5.
Coelho, L. N., Ângelo Malachias, Carlos A. Perez, et al.. (2011). Study of the structural organization of cyclodextrin–DNA complex loaded anionic and pH-sensitive liposomes. Chemical Physics Letters. 506(1-3). 66–70. 10 indexed citations
6.
Perez, Carlos A., et al.. (2008). Iron Chelators as Potential Therapeutic Agents for Parkinsons Disease. Current Bioactive Compounds. 4(3). 150–158. 55 indexed citations
7.
Perez, Carlos A., Yibin Wei, & Maolin Guo. (2008). Iron-binding and anti-Fenton properties of baicalein and baicalin. Journal of Inorganic Biochemistry. 103(3). 326–332. 166 indexed citations
8.
Guo, Maolin, Carlos A. Perez, Yibin Wei, et al.. (2007). Iron-binding properties of plant phenolics and cranberry's bio-effects. Dalton Transactions. 4951–4951. 195 indexed citations
9.
David‐Cordonnier, Marie‐Hélène, Consuelo Gajate, Osvaldo Olmea, et al.. (2005). DNA and Non-DNA Targets in the Mechanism of Action of the Antitumor Drug Trabectedin. Chemistry & Biology. 12(11). 1201–1210. 61 indexed citations
10.
Li, Zuofeng, et al.. (2005). Dose distribution outside of a sphere of P-32 chromic phosphorous colloid. International Journal of Radiation Oncology*Biology*Physics. 63(3). 961–968. 7 indexed citations
11.
Mata‐Essayag, Sofía, et al.. (2004). Antifungal activity of nucleoside analogues and non-nucleoside reverse transcriptase inhibitors. Journal de Mycologie Médicale. 14(3). 123–128.
12.
Facompré, Michaël, Christelle Tardy, Christine Bal-Mahieu, et al.. (2003). Lamellarin D: a novel potent inhibitor of topoisomerase I.. PubMed. 63(21). 7392–9. 167 indexed citations
13.
Marini, Patricia, Carlos A. Perez, & Diego de Mendoza. (2001). Growth-rate regulation of the Bacillus subtilis accBC operon encoding subunits of acetyl-CoA carboxylase, the first enzyme of fatty acid synthesis. Archives of Microbiology. 175(3). 234–237. 10 indexed citations
14.
Cuevas, Carmen, Manuel Pastor, Carlos A. Perez, & Federico Gago. (2001). Comparative Binding Energy (COMBINE) Analysis of Human Neutrophil Elastase Inhibition by Pyridone-containing Trifluoromethylketones. Combinatorial Chemistry & High Throughput Screening. 4(8). 627–642. 10 indexed citations
15.
16.
Camarasa, Marı́a-José, Ana San‐Félix, María‐Jesús Pérez‐Pérez, et al.. (2000). Hiv-1 Specific Reverse Transcriptase Inhibitors: why are Tsao-Nucleosides so Unique?. Journal of Carbohydrate Chemistry. 19(4-5). 451–469. 30 indexed citations
17.
Pastor, Manuel, Carlos A. Perez, & Federico Gago. (1997). Simulation of alternative binding modes in a structure-based QSAR study of HIV-1 protease inhibitors. Journal of Molecular Graphics and Modelling. 15(6). 364–371. 15 indexed citations
18.
Perez, Carlos A.. (1997). Participatory Research: Implications for Applied Anthropology. Practicing Anthropology. 19(3). 2–7. 8 indexed citations
19.
Fortün, Jesús, et al.. (1996). [Tuberculosis of the otorhinolaryngologic region: laryngeal and extra-laryngeal forms].. PubMed. 14(6). 352–6. 9 indexed citations
20.
Perez, Carlos A., et al.. (1995). [Peritoneal carcinomatosis. Review of CT findings in 107 cases].. PubMed. 87(10). 707–14. 3 indexed citations

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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