R. Marabini

5.9k total citations
91 papers, 3.6k citations indexed

About

R. Marabini is a scholar working on Structural Biology, Surfaces, Coatings and Films and Radiation. According to data from OpenAlex, R. Marabini has authored 91 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Structural Biology, 43 papers in Surfaces, Coatings and Films and 21 papers in Radiation. Recurrent topics in R. Marabini's work include Advanced Electron Microscopy Techniques and Applications (68 papers), Electron and X-Ray Spectroscopy Techniques (43 papers) and Advanced X-ray Imaging Techniques (19 papers). R. Marabini is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (68 papers), Electron and X-Ray Spectroscopy Techniques (43 papers) and Advanced X-ray Imaging Techniques (19 papers). R. Marabini collaborates with scholars based in Spain, United States and France. R. Marabini's co-authors include J.M. Carazo, Carlos Óscar S. Sorzano, Sjors H. W. Scheres, Javier Vargas, Joaquı́n Otón, Gábor T. Herman, J.M. de la Rosa-Trevín, J.R. Bilbao-Castro, Javier A. Velázquez-Muriel and Alberto Pascual-Montano and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

R. Marabini

90 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Marabini Spain 26 1.8k 1.6k 998 537 531 91 3.6k
José‐Jesús Fernández Spain 37 1.8k 1.0× 1.3k 0.8× 753 0.8× 341 0.6× 382 0.7× 117 4.0k
Javier Vargas Spain 32 2.1k 1.2× 897 0.6× 558 0.6× 479 0.9× 360 0.7× 112 4.9k
Anchi Cheng United States 27 3.4k 1.9× 1.6k 1.0× 921 0.9× 310 0.6× 823 1.5× 62 5.4k
Carlos Óscar S. Sorzano Spain 42 3.4k 1.9× 2.3k 1.4× 1.4k 1.4× 811 1.5× 879 1.7× 250 7.8k
Achilleas S. Frangakis Germany 38 3.9k 2.2× 1.8k 1.1× 768 0.8× 289 0.5× 371 0.7× 81 6.0k
R. Hegerl Germany 39 3.1k 1.7× 2.0k 1.3× 1.0k 1.0× 500 0.9× 720 1.4× 77 5.2k
Michael Radermacher United States 41 3.8k 2.1× 1.2k 0.7× 614 0.6× 343 0.6× 578 1.1× 114 5.2k
Greg McMullan United Kingdom 29 1.8k 1.0× 1.6k 1.0× 975 1.0× 397 0.7× 695 1.3× 48 4.8k
R.A. Crowther United Kingdom 25 2.6k 1.5× 1.4k 0.9× 668 0.7× 450 0.8× 765 1.4× 49 5.5k
Michael F. Schmid United States 40 3.3k 1.9× 1.1k 0.7× 468 0.5× 195 0.4× 760 1.4× 129 5.3k

Countries citing papers authored by R. Marabini

Since Specialization
Citations

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

Fields of papers citing papers by R. Marabini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Marabini

This figure shows the co-authorship network connecting the top 25 collaborators of R. Marabini. A scholar is included among the top collaborators of R. Marabini 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 R. Marabini. R. Marabini 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.
Marabini, R., et al.. (2021). Cryo-EM and Single-Particle Analysis with Scipion. Journal of Visualized Experiments. 5 indexed citations
2.
3.
Martínez, Marta, Gabriela N. Condezo, Mercedes Hernando‐Pérez, et al.. (2021). Cryo-EM structure of enteric adenovirus HAdV-F41 highlights structural variations among human adenoviruses. Science Advances. 7(9). 17 indexed citations
4.
Ramírez-Aportela, Erney, David Maluenda, Pablo Conesa, et al.. (2021). FSC-Q: a CryoEM map-to-atomic model quality validation based on the local Fourier shell correlation. Nature Communications. 12(1). 42–42. 25 indexed citations
5.
Jiménez-Moreno, Amaya, Laura del Caño, Marta Martínez, et al.. (2021). Cryo-EM and Single-Particle Analysis with Scipion. Journal of Visualized Experiments. 5 indexed citations
6.
Vilas, José Luis, Javier Vargas, Marta Martínez, et al.. (2020). Re-examining the spectra of macromolecules. Current practice of spectral quasi B-factor flattening. Journal of Structural Biology. 209(3). 107447–107447. 5 indexed citations
7.
Ramírez-Aportela, Erney, José Luis Vilas, Alisa Glukhova, et al.. (2019). Automatic local resolution-based sharpening of cryo-EM maps. Bioinformatics. 36(3). 765–772. 91 indexed citations
8.
Marabini, R., et al.. (2018). Map challenge: Analysis using a pair comparison method based on Fourier shell correlation. Journal of Structural Biology. 204(3). 527–542. 2 indexed citations
9.
Sorzano, Carlos Óscar S., Javier Vargas, Joaquı́n Otón, et al.. (2017). A Survey of the Use of Iterative Reconstruction Algorithms in Electron Microscopy. BioMed Research International. 2017. 1–17. 23 indexed citations
10.
Cuenca-Alba, Jesús, Laura del Caño, Josué Gómez-Blanco, et al.. (2017). ScipionCloud: An integrative and interactive gateway for large scale cryo electron microscopy image processing on commercial and academic clouds. Journal of Structural Biology. 200(1). 20–27. 7 indexed citations
11.
Marabini, R., Steven J. Ludtke, Wah Chiu, et al.. (2016). The Electron Microscopy eXchange (EMX) initiative. Journal of Structural Biology. 194(2). 156–163. 10 indexed citations
12.
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
13.
Condezo, Gabriela N., R. Marabini, Silvia Ayora, et al.. (2015). Structures of Adenovirus Incomplete Particles Clarify Capsid Architecture and Show Maturation Changes of Packaging Protein L1 52/55k. Journal of Virology. 89(18). 9653–9664. 42 indexed citations
14.
Carazo, J.M., Carlos Óscar S. Sorzano, Joaquı́n Otón, R. Marabini, & Javier Vargas. (2015). Three-dimensional reconstruction methods in Single Particle Analysis from transmission electron microscopy data. Archives of Biochemistry and Biophysics. 581. 39–48. 16 indexed citations
15.
Sorzano, Carlos Óscar S., Javier Vargas, Joaquı́n Otón, et al.. (2014). Outlier detection for single particle analysis in Electron Microscopy. 950–959. 4 indexed citations
16.
Vargas, Javier, Joaquı́n Otón, R. Marabini, et al.. (2012). FASTDEF: Fast defocus and astigmatism estimation for high-throughput transmission electron microscopy. Journal of Structural Biology. 181(2). 136–148. 24 indexed citations
17.
Scheres, Sjors H. W., Rafael Núñez‐Ramírez, Carlos Óscar S. Sorzano, J.M. Carazo, & R. Marabini. (2008). Image processing for electron microscopy single-particle analysis using XMIPP. Nature Protocols. 3(6). 977–990. 276 indexed citations
18.
19.
Marabini, R., et al.. (1996). Proposal for a New Distributed Database of Macromolecular and Subcellular Structures from Different Areas of Microscopy. Journal of Structural Biology. 116(1). 161–166. 9 indexed citations
20.
Marabini, R. & J.M. Carazo. (1994). Pattern recognition and classification of images of biological macromolecules using artificial neural networks. Biophysical Journal. 66(6). 1804–1814. 95 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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