Adrián Quintana

1.2k total citations
10 papers, 536 citations indexed

About

Adrián Quintana is a scholar working on Structural Biology, Cognitive Neuroscience and Materials Chemistry. According to data from OpenAlex, Adrián Quintana has authored 10 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Structural Biology, 3 papers in Cognitive Neuroscience and 3 papers in Materials Chemistry. Recurrent topics in Adrián Quintana's work include Advanced Electron Microscopy Techniques and Applications (4 papers), Neural dynamics and brain function (2 papers) and Machine Learning in Materials Science (2 papers). Adrián Quintana is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (4 papers), Neural dynamics and brain function (2 papers) and Machine Learning in Materials Science (2 papers). Adrián Quintana collaborates with scholars based in United Kingdom, Spain and United States. Adrián Quintana's co-authors include Javier Vargas, Carlos Óscar S. Sorzano, J.M. Carazo, R. Marabini, Joaquı́n Otón, Josué Gómez-Blanco, Pablo Conesa, Laura del Caño, J. Burguet–Castell and Juan F. Navas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society B Biological Sciences and eLife.

In The Last Decade

Adrián Quintana

8 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrián Quintana United Kingdom 6 259 163 97 76 64 10 536
Anchi Cheng United States 6 204 0.8× 219 1.3× 112 1.2× 24 0.3× 53 0.8× 6 549
Chang-Lu Tao China 13 289 1.1× 155 1.0× 44 0.5× 33 0.4× 35 0.5× 18 639
Juan F. Navas Spain 7 234 0.9× 144 0.9× 88 0.9× 7 0.1× 56 0.9× 19 497
Amir Apelbaum Germany 4 595 2.3× 190 1.2× 88 0.9× 6 0.1× 77 1.2× 5 948
S Peltier United States 10 249 1.0× 140 0.9× 105 1.1× 13 0.2× 25 0.4× 22 624
Felix J.B. Bäuerlein Germany 11 559 2.2× 485 3.0× 231 2.4× 15 0.2× 63 1.0× 17 1.1k
Lei Jin China 16 319 1.2× 61 0.4× 28 0.3× 39 0.5× 25 0.4× 43 975
J Pulokas United States 3 84 0.3× 103 0.6× 49 0.5× 23 0.3× 13 0.2× 10 378
Ulrike Laugks Germany 11 324 1.3× 196 1.2× 79 0.8× 8 0.1× 14 0.2× 16 795
Joel R. Meyerson United States 15 581 2.2× 103 0.6× 42 0.4× 9 0.1× 43 0.7× 23 943

Countries citing papers authored by Adrián Quintana

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Quintana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrián Quintana

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

All Works

10 of 10 papers shown
1.
2.
Durá-Bernal, Salvador, Benjamin A. Suter, Padraig Gleeson, et al.. (2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 8. 88 indexed citations
3.
Cantarelli, Matteo, Bóris Marin, Adrián Quintana, et al.. (2018). Geppetto: a reusable modular open platform for exploring neuroscience data and models. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1758). 20170380–20170380. 16 indexed citations
4.
Gleeson, Padraig, et al.. (2018). LEMS/jLEMS: v0.9.9.0. Zenodo (CERN European Organization for Nuclear Research).
5.
Conesa, Pablo, José A. Gutierrez, Adrián Quintana, et al.. (2017). Scipion web tools: Easy to use cryo‐EM image processing over the web. Protein Science. 27(1). 269–275. 16 indexed citations
6.
Rosa-Trevín, J.M. de la, Adrián Quintana, Laura del Caño, et al.. (2016). Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy. Journal of Structural Biology. 195(1). 93–99. 383 indexed citations
7.
8.
Quintana, Adrián, Matteo Cantarelli, Bóris Marin, R. Angus Silver, & Padraig Gleeson. (2015). Visualizing, editing and simulating neuronal models with the Open Source Brain 3D explorer. BMC Neuroscience. 16(S1). 1 indexed citations
9.
Marabini, R., et al.. (2013). On the development of three new tools for organizing and sharing information in three-dimensional electron microscopy. Acta Crystallographica Section D Biological Crystallography. 69(5). 695–700. 6 indexed citations
10.
Sorzano, Carlos Óscar S., Joaquı́n Otón, Josué Gómez-Blanco, et al.. (2012). Semiautomatic, High-Throughput, High-Resolution Protocol for Three-Dimensional Reconstruction of Single Particles in Electron Microscopy. Methods in molecular biology. 950. 171–193. 22 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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2026