Juan Martinez‐Sanz

424 total citations
9 papers, 329 citations indexed

About

Juan Martinez‐Sanz is a scholar working on Molecular Biology, Cell Biology and Computational Theory and Mathematics. According to data from OpenAlex, Juan Martinez‐Sanz has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Juan Martinez‐Sanz's work include Computational Drug Discovery Methods (3 papers), Microtubule and mitosis dynamics (3 papers) and Protein Structure and Dynamics (2 papers). Juan Martinez‐Sanz is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Microtubule and mitosis dynamics (3 papers) and Protein Structure and Dynamics (2 papers). Juan Martinez‐Sanz collaborates with scholars based in France and United Kingdom. Juan Martinez‐Sanz's co-authors include Liliane Mouawad, Nicolas Saettel, Ludovic Chaput, Alexandre Serero, Alessandro Sardini, Thierry Meinnel, Carmela Giglione, Liliane Assairi, Pascal Rigolet and Constantin T. Craescu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Juan Martinez‐Sanz

9 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Martinez‐Sanz France 6 244 109 83 52 49 9 329
Marcelino Arciniega Germany 13 343 1.4× 84 0.8× 140 1.7× 56 1.1× 40 0.8× 19 512
Joni W. Lam United States 7 421 1.7× 113 1.0× 102 1.2× 80 1.5× 36 0.7× 7 532
Matthieu Chartier Canada 7 326 1.3× 116 1.1× 39 0.5× 25 0.5× 53 1.1× 9 411
Mohd. Amir India 13 336 1.4× 73 0.7× 39 0.5× 34 0.7× 19 0.4× 28 457
Palani Kirubakaran India 12 262 1.1× 116 1.1× 80 1.0× 15 0.3× 20 0.4× 22 416
Richard Trilles United States 13 263 1.1× 56 0.5× 65 0.8× 27 0.5× 20 0.4× 17 486
Jenifer Borgognoni United Kingdom 6 280 1.1× 73 0.7× 52 0.6× 91 1.8× 25 0.5× 6 383
António J. Preto Portugal 12 290 1.2× 114 1.0× 34 0.4× 16 0.3× 28 0.6× 24 424
Gregory D. Friedland United States 10 660 2.7× 70 0.6× 45 0.5× 52 1.0× 150 3.1× 12 741
Zapporah T. Young United States 8 483 2.0× 86 0.8× 23 0.3× 175 3.4× 50 1.0× 9 583

Countries citing papers authored by Juan Martinez‐Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Juan Martinez‐Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Martinez‐Sanz. 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 Juan Martinez‐Sanz. The network helps show where Juan Martinez‐Sanz may publish in the future.

Co-authorship network of co-authors of Juan Martinez‐Sanz

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

All Works

9 of 9 papers shown
1.
Domingues, Mélanie J., Juan Martinez‐Sanz, Laura Papon, et al.. (2017). Structure-based mutational analysis of ICAT residues mediating negative regulation of β-catenin co-transcriptional activity. PLoS ONE. 12(3). e0172603–e0172603. 5 indexed citations
2.
Martinez‐Sanz, Juan, et al.. (2016). A chirality change in XPC- and Sfi1-derived peptides affects their affinity for centrin. Peptides. 78. 77–86. 2 indexed citations
3.
Chaput, Ludovic, Juan Martinez‐Sanz, Nicolas Saettel, & Liliane Mouawad. (2016). Benchmark of four popular virtual screening programs: construction of the active/decoy dataset remains a major determinant of measured performance. Journal of Cheminformatics. 8(1). 56–56. 76 indexed citations
4.
Chaput, Ludovic, Juan Martinez‐Sanz, Éric Quiniou, et al.. (2016). vSDC: a method to improve early recognition in virtual screening when limited experimental resources are available. Journal of Cheminformatics. 8(1). 1–1. 58 indexed citations
5.
Martinez‐Sanz, Juan & Liliane Assairi. (2016). New insights into the interaction of centrin with Sfi1. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1864(4). 319–330. 8 indexed citations
6.
Martinez‐Sanz, Juan, et al.. (2013). New QSAR Models for Human Cytochromes P450, 1A2, 2D6 and 3A4 Implicated in the Metabolism of Drugs. Relevance of Dataset on Model Development.. Molecular Informatics. 32(7). 573–577. 2 indexed citations
7.
Martinez‐Sanz, Juan, Liliane Assairi, Y. Blouquit, et al.. (2009). Structure, Dynamics and Thermodynamics of the Human Centrin 2/hSfi1 Complex. Journal of Molecular Biology. 395(1). 191–204. 26 indexed citations
8.
Martinez‐Sanz, Juan, Ao Yang, Y. Blouquit, et al.. (2006). Binding of human centrin 2 to the centrosomal protein hSfi1. FEBS Journal. 273(19). 4504–4515. 40 indexed citations
9.
Serero, Alexandre, Carmela Giglione, Alessandro Sardini, Juan Martinez‐Sanz, & Thierry Meinnel. (2003). An Unusual Peptide Deformylase Features in the Human Mitochondrial N-terminal Methionine Excision Pathway. Journal of Biological Chemistry. 278(52). 52953–52963. 112 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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