Pablo Conesa

3.0k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Pablo Conesa is a scholar working on Structural Biology, Surfaces, Coatings and Films and Molecular Biology. According to data from OpenAlex, Pablo Conesa has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Structural Biology, 14 papers in Surfaces, Coatings and Films and 11 papers in Molecular Biology. Recurrent topics in Pablo Conesa's work include Advanced Electron Microscopy Techniques and Applications (20 papers), Electron and X-Ray Spectroscopy Techniques (14 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Pablo Conesa is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (20 papers), Electron and X-Ray Spectroscopy Techniques (14 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Pablo Conesa collaborates with scholars based in Spain, United Kingdom and Canada. Pablo Conesa's co-authors include Carlos Óscar S. Sorzano, J.M. Carazo, Reza M. Salek, Kenneth Haug, R. Marabini, Christoph Steinbeck, Mark Williams, Philippe Rocca‐Serra, Julian L. Griffin and José Luis Vilas and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pablo Conesa

28 papers receiving 1.5k citations

Hit Papers

MetaboLights—an open-access general-purpose repository fo... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Conesa Spain 14 1.1k 375 227 164 152 29 1.5k
Edward T. Eng United States 26 1.2k 1.1× 503 1.3× 290 1.3× 55 0.3× 171 1.1× 54 2.4k
Toshio Moriya Japan 19 932 0.9× 280 0.7× 139 0.6× 24 0.1× 137 0.9× 68 1.7k
Oleg Sitsel Germany 15 803 0.7× 234 0.6× 110 0.5× 27 0.2× 106 0.7× 23 1.4k
Keren Lasker United States 24 2.5k 2.3× 432 1.2× 116 0.5× 250 1.5× 639 4.2× 37 3.1k
Shaoxia Chen China 23 2.1k 2.0× 322 0.9× 161 0.7× 29 0.2× 761 5.0× 55 3.0k
M. Boublík United States 23 1.6k 1.5× 301 0.8× 126 0.6× 116 0.7× 242 1.6× 73 2.0k
Billy K. Poon United States 16 2.7k 2.5× 369 1.0× 78 0.3× 107 0.7× 833 5.5× 31 3.7k
Pilar Cossio Germany 20 755 0.7× 141 0.4× 65 0.3× 42 0.3× 182 1.2× 61 1.1k
Ansgar Philippsen Switzerland 23 1.5k 1.4× 99 0.3× 50 0.2× 82 0.5× 187 1.2× 28 2.1k
Brian P. Hudson United States 19 1.5k 1.4× 116 0.3× 49 0.2× 60 0.4× 307 2.0× 30 2.0k

Countries citing papers authored by Pablo Conesa

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Conesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Conesa

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Conesa. A scholar is included among the top collaborators of Pablo Conesa 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 Pablo Conesa. Pablo Conesa 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.
2.
Krieger, James, Yordy E. Licea, Pablo Conesa, et al.. (2023). Scipion Flexibility Hub: an integrative framework for advanced analysis of conformational heterogeneity in cryoEM. Acta Crystallographica Section D Structural Biology. 79(7). 569–584. 3 indexed citations
3.
Conesa, Pablo, et al.. (2023). Real-time correction of chromatic aberration in optical fluorescence microscopy. Methods and Applications in Fluorescence. 11(4). 45001–45001. 2 indexed citations
4.
Sánchez-García, Rubén, Pablo Conesa, Erney Ramírez-Aportela, et al.. (2021). 3DBionotes COVID-19 edition. Bioinformatics. 37(22). 4258–4260. 2 indexed citations
5.
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
6.
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
7.
Martínez, Marta, Rubén Sánchez-García, R. Marabini, et al.. (2021). Cryo-EM density maps adjustment for subtraction, consensus and sharpening. Journal of Structural Biology. 213(4). 107780–107780. 6 indexed citations
8.
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
9.
Melero, Roberto, Carlos Óscar S. Sorzano, Brent Foster, et al.. (2020). Continuous flexibility analysis of SARS-CoV-2 spike prefusion structures. IUCrJ. 7(6). 1059–1069. 30 indexed citations
10.
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
11.
Ramírez-Aportela, Erney, Javier Mota, Pablo Conesa, J.M. Carazo, & Carlos Óscar S. Sorzano. (2019). DeepRes: a new deep-learning- and aspect-based local resolution method for electron-microscopy maps. IUCrJ. 6(6). 1054–1063. 38 indexed citations
12.
Vilas, José Luis, Joaquı́n Otón, Cédric Messaoudi, et al.. (2019). Measurement of local resolution in electron tomography. SHILAP Revista de lepidopterología. 4. 100016–100016. 10 indexed citations
13.
Maluenda, David, Tomáš Majtner, Péter Horváth, et al.. (2019). Flexible workflows for on-the-fly electron-microscopy single-particle image processing using Scipion. Acta Crystallographica Section D Structural Biology. 75(10). 882–894. 9 indexed citations
14.
Vilas, José Luis, Josué Gómez-Blanco, Pablo Conesa, et al.. (2018). MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps. Structure. 26(2). 337–344.e4. 140 indexed citations
15.
Sorzano, Carlos Óscar S., Javier Vargas, Tomáš Majtner, et al.. (2018). Blind estimation of DED camera gain in Electron Microscopy. Journal of Structural Biology. 203(2). 90–93. 2 indexed citations
16.
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
17.
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
18.
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
19.
Haug, Kenneth, Reza M. Salek, Pablo Conesa, et al.. (2012). MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data. Nucleic Acids Research. 41(D1). D781–D786. 464 indexed citations breakdown →
20.
Steinbeck, Christoph, Pablo Conesa, Kenneth Haug, et al.. (2012). MetaboLights: towards a new COSMOS of metabolomics data management. Metabolomics. 8(5). 757–760. 59 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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