Albert Perez‐Riba

644 total citations
15 papers, 406 citations indexed

About

Albert Perez‐Riba is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, Albert Perez‐Riba has authored 15 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Materials Chemistry and 2 papers in Ecology. Recurrent topics in Albert Perez‐Riba's work include Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Structure and Function (5 papers). Albert Perez‐Riba is often cited by papers focused on Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Structure and Function (5 papers). Albert Perez‐Riba collaborates with scholars based in United Kingdom, Canada and South Sudan. Albert Perez‐Riba's co-authors include Laura S. Itzhaki, Philip M. Kim, Carles Corbi‐Verge, Alexey Strokach, Ewan R.G. Main, Satra Nim, Sarah K. Madden, Kyun‐Do Kim, Seungtaek Kim and Insu Hwang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Albert Perez‐Riba

15 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert Perez‐Riba United Kingdom 10 309 53 49 32 29 15 406
Wenzhi Mao China 8 330 1.1× 74 1.4× 75 1.5× 26 0.8× 45 1.6× 11 441
Guang Qiang Dong Canada 7 304 1.0× 58 1.1× 62 1.3× 24 0.8× 38 1.3× 9 411
Carles Corbi‐Verge Canada 13 420 1.4× 66 1.2× 62 1.3× 15 0.5× 24 0.8× 21 530
Gwo-Yu Chuang United States 7 309 1.0× 69 1.3× 80 1.6× 33 1.0× 45 1.6× 10 468
Valentín Iglesias Spain 15 598 1.9× 99 1.9× 54 1.1× 23 0.7× 30 1.0× 43 721
Christopher Churas United States 9 269 0.9× 23 0.4× 35 0.7× 13 0.4× 51 1.8× 13 449
Elisa Cilia Belgium 9 446 1.4× 86 1.6× 64 1.3× 15 0.5× 81 2.8× 18 553
Fanchi Meng United States 11 443 1.4× 132 2.5× 35 0.7× 21 0.7× 15 0.5× 11 515
Nicolás Palópoli Argentina 9 395 1.3× 79 1.5× 47 1.0× 15 0.5× 30 1.0× 23 532
Matthew Tien United States 4 314 1.0× 64 1.2× 37 0.8× 19 0.6× 57 2.0× 5 395

Countries citing papers authored by Albert Perez‐Riba

Since Specialization
Citations

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

Fields of papers citing papers by Albert Perez‐Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Perez‐Riba. 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 Albert Perez‐Riba. The network helps show where Albert Perez‐Riba may publish in the future.

Co-authorship network of co-authors of Albert Perez‐Riba

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

All Works

15 of 15 papers shown
1.
Nim, Satra, Darren M. O’Hara, Carles Corbi‐Verge, et al.. (2023). Disrupting the α-synuclein-ESCRT interaction with a peptide inhibitor mitigates neurodegeneration in preclinical models of Parkinson’s disease. Nature Communications. 14(1). 2150–2150. 32 indexed citations
2.
Perez‐Riba, Albert, Pamela J. E. Rowling, Gerhard W. Fischer, et al.. (2022). Unraveling the Mechanics of a Repeat-Protein Nanospring: From Folding of Individual Repeats to Fluctuations of the Superhelix. ACS Nano. 16(3). 3895–3905. 7 indexed citations
3.
Strokach, Alexey, et al.. (2021). Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver. STAR Protocols. 2(2). 100505–100505. 3 indexed citations
4.
Valiente, Pedro A., Han Wen, Satra Nim, et al.. (2021). Computational Design of Potent D-Peptide Inhibitors of SARS-CoV-2. Journal of Medicinal Chemistry. 64(20). 14955–14967. 47 indexed citations
5.
Strokach, Alexey, et al.. (2020). Fast and Flexible Protein Design Using Deep Graph Neural Networks. Cell Systems. 11(4). 402–411.e4. 121 indexed citations
6.
Perez‐Riba, Albert, et al.. (2020). Testing the length limit of loop grafting in a helical repeat protein. SHILAP Revista de lepidopterología. 3. 30–40. 9 indexed citations
7.
Rowling, Pamela J. E., Janet R. Kumita, Stephen H. McLaughlin, et al.. (2020). Engineering mono- and multi-valent inhibitors on a modular scaffold. Chemical Science. 12(3). 880–895. 9 indexed citations
8.
Perez‐Riba, Albert, Elizabeth A. Komives, Ewan R.G. Main, & Laura S. Itzhaki. (2019). Decoupling a tandem-repeat protein: Impact of multiple loop insertions on a modular scaffold. Scientific Reports. 9(1). 15439–15439. 3 indexed citations
9.
Perez‐Riba, Albert & Laura S. Itzhaki. (2019). The tetratricopeptide-repeat motif is a versatile platform that enables diverse modes of molecular recognition. Current Opinion in Structural Biology. 54. 43–49. 101 indexed citations
10.
Madden, Sarah K., Albert Perez‐Riba, & Laura S. Itzhaki. (2019). Exploring new strategies for grafting binding peptides onto protein loops using a consensus‐designed tetratricopeptide repeat scaffold. Protein Science. 28(4). 738–745. 14 indexed citations
11.
Lowe, Alan R., Albert Perez‐Riba, Laura S. Itzhaki, & Ewan R.G. Main. (2018). PyFolding: Open-Source Graphing, Simulation, and Analysis of the Biophysical Properties of Proteins. Biophysical Journal. 114(3). 516–521. 7 indexed citations
12.
Perez‐Riba, Albert, Alan R. Lowe, Ewan R.G. Main, & Laura S. Itzhaki. (2018). Context-Dependent Energetics of Loop Extensions in a Family of Tandem-Repeat Proteins. Biophysical Journal. 114(11). 2552–2562. 8 indexed citations
13.
Perez‐Riba, Albert, et al.. (2018). Folding cooperativity and allosteric function in the tandem-repeat protein class. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1749). 20170188–20170188. 18 indexed citations
14.
Perez‐Riba, Albert & Laura S. Itzhaki. (2017). A method for rapid high-throughput biophysical analysis of proteins. Scientific Reports. 7(1). 9071–9071. 17 indexed citations
15.
Rowling, Pamela J. E., et al.. (2015). Dissecting and reprogramming the folding and assembly of tandem-repeat proteins. Biochemical Society Transactions. 43(5). 881–888. 10 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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