Alberto Pérez

8.9k total citations · 2 hit papers
100 papers, 6.6k citations indexed

About

Alberto Pérez is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Alberto Pérez has authored 100 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 27 papers in Materials Chemistry and 16 papers in Spectroscopy. Recurrent topics in Alberto Pérez's work include Protein Structure and Dynamics (62 papers), RNA and protein synthesis mechanisms (45 papers) and DNA and Nucleic Acid Chemistry (29 papers). Alberto Pérez is often cited by papers focused on Protein Structure and Dynamics (62 papers), RNA and protein synthesis mechanisms (45 papers) and DNA and Nucleic Acid Chemistry (29 papers). Alberto Pérez collaborates with scholars based in United States, Spain and Canada. Alberto Pérez's co-authors include Modesto Orozco, Charles A. Laughton, Jiřı́ Šponer, Thomas E. Cheatham, F. Javier Luque, Daniel Svozil, Ken A. Dill, Agnes Noy, Justin L. MacCallum and Filip Lankaš and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Alberto Pérez

94 papers receiving 6.6k citations

Hit Papers

Refinement of the AMBER Force Field for Nucleic Acids: Im... 2007 2026 2013 2019 2007 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Pérez United States 35 6.1k 945 687 472 408 100 6.6k
Pavel Banáš Czechia 37 4.6k 0.8× 738 0.8× 483 0.7× 289 0.6× 277 0.7× 87 5.4k
Yaakov Levy Israel 47 6.0k 1.0× 1.9k 2.0× 475 0.7× 932 2.0× 653 1.6× 161 7.4k
Adrian H. Elcock United States 38 4.4k 0.7× 1.6k 1.7× 269 0.4× 695 1.5× 391 1.0× 88 5.4k
Florence Tama Japan 34 3.5k 0.6× 1.6k 1.7× 469 0.7× 701 1.5× 347 0.9× 92 4.8k
Shoji Takada Japan 41 5.3k 0.9× 2.3k 2.4× 304 0.4× 1.1k 2.3× 711 1.7× 141 6.3k
Cristian Micheletti Italy 42 3.6k 0.6× 1.6k 1.7× 450 0.7× 1.2k 2.6× 283 0.7× 168 5.3k
Martin Zacharias Germany 53 8.2k 1.3× 1.7k 1.8× 572 0.8× 748 1.6× 493 1.2× 346 10.4k
Syma Khalid United Kingdom 41 3.4k 0.6× 385 0.4× 558 0.8× 404 0.9× 350 0.9× 139 4.7k
Marianne Rooman Belgium 46 5.3k 0.9× 1.8k 1.9× 227 0.3× 203 0.4× 373 0.9× 153 6.6k
Wilma K. Olson United States 51 9.0k 1.5× 924 1.0× 1.3k 1.9× 755 1.6× 304 0.7× 187 10.1k

Countries citing papers authored by Alberto Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Pérez. A scholar is included among the top collaborators of Alberto Pérez 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 Alberto Pérez. Alberto Pérez 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.
Mondal, Arup, et al.. (2025). ATP allosterically regulates an acyl-CoA oxidase. Nature Communications. 16(1). 7318–7318.
2.
Santos, J., et al.. (2025). Hierarchical Extended Linkage Method (HELM)’s Deep Dive into Hybrid Clustering Strategies. Journal of Chemical Information and Modeling. 65(12). 6209–6220.
3.
Roth, Monica J., et al.. (2025). Hybrid AI/physics pipeline for miniprotein binder prioritization: application to the BRD3 ET domain. Chemical Communications. 61(96). 19028–19031.
4.
Chang, Liwei & Alberto Pérez. (2025). Rapid estimation of protein folding pathways from sequence alone using AlphaFold2. Nature Communications. 17(1). 170–170.
6.
Mondal, Arup, et al.. (2024). A Computational Pipeline for Accurate Prioritization of Protein‐Protein Binding Candidates in High‐Throughput Protein Libraries. Angewandte Chemie International Edition. 63(24). e202405767–e202405767. 5 indexed citations
7.
Nguyen, Jonathan, Chitrak Gupta, Alberto Pérez, et al.. (2023). Disordered regions of respiratory supercomplexes offer new pathways for substrate channeling in crowded membranes. Biophysical Journal. 122(3). 302a–302a. 1 indexed citations
8.
Frontera, Antonio, et al.. (2023). Computational Study of Driving Forces in ATSP, PDIQ, and P53 Peptide Binding: C═O···C═O Tetrel Bonding Interactions at Work. Journal of Chemical Information and Modeling. 63(10). 3018–3029. 1 indexed citations
9.
Nguyễn, Long Thành, Santosh R. Rananaware, Nicolas C. Macaluso, et al.. (2023). Engineering highly thermostable Cas12b via de novo structural analyses for one-pot detection of nucleic acids. Cell Reports Medicine. 4(5). 101037–101037. 38 indexed citations
10.
Bauzá, Antonio, et al.. (2023). Structural predictions of protein–DNA binding: MELD-DNA. Nucleic Acids Research. 51(4). 1625–1636. 26 indexed citations
11.
Chang, Liwei, et al.. (2023). Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era. Wiley Interdisciplinary Reviews Computational Molecular Science. 14(1). 22 indexed citations
12.
Piña, María de las Nieves, et al.. (2021). Importance of Anion−π Interactions in RNA GAAA and GGAG Tetraloops: A Combined MD and QM Study. Journal of Chemical Theory and Computation. 17(10). 6624–6633. 4 indexed citations
13.
Shekhar, Mrinal, Genki Terashi, Chitrak Gupta, et al.. (2021). CryoFold: Determining protein structures and data-guided ensembles from cryo-EM density maps. Matter. 4(10). 3195–3216. 29 indexed citations
14.
Balaceanu, Alexandra, Alberto Pérez, Pablo D. Dans, & Modesto Orozco. (2018). Allosterism and signal transfer in DNA. Nucleic Acids Research. 46(15). 7554–7565. 20 indexed citations
15.
Pérez, Alberto, Justin L. MacCallum, & Ken A. Dill. (2015). Accelerating molecular simulations of proteins using Bayesian inference on weak information. Proceedings of the National Academy of Sciences. 112(38). 11846–11851. 79 indexed citations
16.
Ivani, Iván, Pablo D. Dans, Agnes Noy, et al.. (2015). Parmbsc1: a refined force field for DNA simulations. Nature Methods. 13(1). 55–58. 822 indexed citations breakdown →
17.
Dans, Pablo D., Alberto Pérez, Ignacio Faustino, Richard Lavery, & Modesto Orozco. (2012). Exploring polymorphisms in B-DNA helical conformations. Nucleic Acids Research. 40(21). 10668–10678. 69 indexed citations
18.
Pérez, Alberto, Filip Lankaš, F. Javier Luque, & Modesto Orozco. (2008). Towards a molecular dynamics consensus view of B-DNA flexibility. Nucleic Acids Research. 36(7). 2379–2394. 131 indexed citations
19.
Goni, J., Alberto Pérez, David Torrents, & Modesto Orozco. (2007). Determining promoter location based on DNA structure first-principles calculations. Genome biology. 8(12). R263–R263. 119 indexed citations
20.
Pérez, Alberto, Agnes Noy, Filip Lankaš, F. Javier Luque, & Modesto Orozco. (2004). The relative flexibility of B-DNA and A-RNA duplexes: database analysis. Nucleic Acids Research. 32(20). 6144–6151. 118 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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