David De Sancho

1.8k total citations
60 papers, 1.4k citations indexed

About

David De Sancho is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, David De Sancho has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 24 papers in Materials Chemistry and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in David De Sancho's work include Protein Structure and Dynamics (39 papers), Enzyme Structure and Function (24 papers) and RNA and protein synthesis mechanisms (14 papers). David De Sancho is often cited by papers focused on Protein Structure and Dynamics (39 papers), Enzyme Structure and Function (24 papers) and RNA and protein synthesis mechanisms (14 papers). David De Sancho collaborates with scholars based in Spain, United States and United Kingdom. David De Sancho's co-authors include Robert B. Best, Víctor Muñoz, Jeetain Mittal, Raúl Pérez‐Jiménez, Jörg Schönfelder, Antonio Rey, Álvaro Alonso-Caballero, Urmi Doshi, Jane Clarke and Christopher M. Baker 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

David De Sancho

56 papers receiving 1.4k citations

Peers

David De Sancho

AMPO

RESE

Johan Leckner Sweden

Shachi Gosavi India

Rahul K. Das United States

Abhishek Singharoy United States

Jen Hsin United States

Gabriel Žoldák Slovakia

An‐An Liu China

Virgile Adam France

Zhong Huang China

Andrea Grafmüller Germany

Johan Leckner Sweden

David De Sancho

734 ×0.7

353 ×0.7

130 ×0.5

AMPO

102 ×0.6

73 ×0.5

RESE

Citations per year, relative to David De Sancho David De Sancho (= 1×) peers Johan Leckner

Countries citing papers authored by David De Sancho

Since Specialization

Citations

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

Fields of papers citing papers by David De Sancho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David De Sancho. 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 David De Sancho. The network helps show where David De Sancho may publish in the future.

Co-authorship network of co-authors of David De Sancho

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sancho, David De & Xabier López. (2025). Crossover in aromatic amino acid interaction strength between tyrosine and phenylalanine in biomolecular condensates. eLife. 14. 1 indexed citations

Schönfelder, Jörg, David Franco, Mariano Ortega‐Muñoz, et al.. (2024). High-throughput virtual search of small molecules for controlling the mechanical stability of human CD4. Journal of Biological Chemistry. 300(4). 107133–107133. 4 indexed citations

Saá, Laura, et al.. (2024). The strongest protein binder is surprisingly labile. Protein Science. 33(7). e5030–e5030. 2 indexed citations

Sancho, David De, et al.. (2024). Designing mimosine-containing peptides as efficient metal chelators: Insights from molecular dynamics and quantum calculations. Journal of Inorganic Biochemistry. 264. 112807–112807.

Herrero‐Galán, Elías, Simon A. Mortensen, Juan Pablo Ochoa, et al.. (2023). Structural basis of domain destabilization by dilated-cardiomyopathy-causing missense mutations in titin. Biophysical Journal. 122(3). 172a–172a. 1 indexed citations

Sancho, David De, et al.. (2023). Influence of metal binding on the conformational landscape of neurofilament peptides. Physical Chemistry Chemical Physics. 25(39). 26429–26442. 1 indexed citations

Schönfelder, Jörg, et al.. (2023). Compliant mechanical response of the ultrafast folding protein EnHD under force. Communications Physics. 6(1). 2 indexed citations

Sancho, David De & Víctor Muñoz. (2021). Prediction of Folding and Unfolding Rates of Proteins with Simple Models. Methods in molecular biology. 2376. 365–372.

Sancho, David De, et al.. (2020). Competitive binding of HIF-1α and CITED2 to the TAZ1 domain of CBP from molecular simulations. Physical Chemistry Chemical Physics. 22(15). 8118–8127. 11 indexed citations

10.

Grande‐Aztatzi, Rafael, Elena Formoso, Jon I. Mujika, David De Sancho, & Xabier López. (2020). Theoretical characterization of Al(III) binding to KSPVPKSPVEEKG: Insights into the propensity of aluminum to interact with key sequences for neurofilament formation. Journal of Inorganic Biochemistry. 210. 111169–111169. 2 indexed citations

11.

Echarri, Asier, Dácil M. Pavón, Sara Sánchez, et al.. (2019). An Abl-FBP17 mechanosensing system couples local plasma membrane curvature and stress fiber remodeling during mechanoadaptation. Nature Communications. 10(1). 5828–5828. 46 indexed citations

12.

Galera‐Prat, Albert, Nadeem Joudeh, Miguel Alcalde, et al.. (2019). Resurrection of efficient Precambrian endoglucanases for lignocellulosic biomass hydrolysis. Communications Chemistry. 2(1). 28 indexed citations

13.

Schönfelder, Jörg, David De Sancho, Ronen Berkovich, et al.. (2018). Reversible two-state folding of the ultrafast protein gpW under mechanical force. Communications Chemistry. 1(1). 17 indexed citations

14.

Alonso-Caballero, Álvaro, Jörg Schönfelder, Simon Poly, et al.. (2018). Mechanical architecture and folding of E. coli type 1 pilus domains. Nature Communications. 9(1). 2758–2758. 53 indexed citations

15.

Schönfelder, Jörg, Álvaro Alonso-Caballero, Marie Fertin, et al.. (2017). Mechanochemical evolution of the giant muscle protein titin as inferred from resurrected proteins. Nature Structural & Molecular Biology. 24(8). 652–657. 24 indexed citations

16.

Rogers, Joseph M., Vladimiras Oleinikovas, Sarah L. Shammas, et al.. (2014). Interplay between partner and ligand facilitates the folding and binding of an intrinsically disordered protein. Proceedings of the National Academy of Sciences. 111(43). 15420–15425. 130 indexed citations

17.

Kubas, Adam, David De Sancho, Robert B. Best, & Jochen Blumberger. (2014). Aerobic Damage to [FeFe]‐Hydrogenases: Activation Barriers for the Chemical Attachment of O₂. Angewandte Chemie. 126(16). 4165–4168. 9 indexed citations

18.

Best, Robert B., David De Sancho, & Jeetain Mittal. (2012). Residue-Specific α-Helix Propensities from Molecular Simulation. Biophysical Journal. 102(6). 1462–1467. 92 indexed citations

19.

Sancho, David De & Robert B. Best. (2011). Modulation of an IDP binding mechanism and rates by helix propensity and non-native interactions: association of HIF1α with CBP. Molecular BioSystems. 8(1). 256–267. 71 indexed citations

20.

Sancho, David De & Antonio Rey. (2008). Energy minimizations with a combination of two knowledge‐based potentials for protein folding. Journal of Computational Chemistry. 29(10). 1684–1692. 7 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.

Explore authors with similar magnitude of impact