J. San Juán

3.7k total citations
167 papers, 3.2k citations indexed

About

J. San Juán is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, J. San Juán has authored 167 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Materials Chemistry, 83 papers in Mechanical Engineering and 24 papers in Aerospace Engineering. Recurrent topics in J. San Juán's work include Shape Memory Alloy Transformations (91 papers), Intermetallics and Advanced Alloy Properties (26 papers) and Aluminum Alloy Microstructure Properties (23 papers). J. San Juán is often cited by papers focused on Shape Memory Alloy Transformations (91 papers), Intermetallics and Advanced Alloy Properties (26 papers) and Aluminum Alloy Microstructure Properties (23 papers). J. San Juán collaborates with scholars based in Spain, France and United States. J. San Juán's co-authors include M.L. Nó, V. Recarte, Christopher A. Schuh, R. B. Pérez‐Sáez, E.H. Bocanegra, J.I. Pérez-Landazábal, Alfonso Ibarra, I. Ruiz‐Larrea, A. López‐Echarri and Helmut Clemens and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

J. San Juán

160 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. San Juán Spain 30 2.8k 1.5k 428 404 195 167 3.2k
M.L. Nó Spain 31 2.9k 1.0× 1.4k 1.0× 351 0.8× 455 1.1× 182 0.9× 164 3.2k
Д. В. Гундеров Russia 28 2.4k 0.9× 2.1k 1.4× 542 1.3× 435 1.1× 223 1.1× 190 3.1k
A.K. Singh India 28 1.6k 0.6× 1.6k 1.0× 594 1.4× 207 0.5× 146 0.7× 134 2.1k
Chuang Deng Canada 25 1.7k 0.6× 1.2k 0.8× 475 1.1× 527 1.3× 251 1.3× 99 2.4k
H. Wendrock Germany 27 1.1k 0.4× 1.4k 0.9× 391 0.9× 533 1.3× 184 0.9× 110 2.4k
Renbo Song China 25 1.3k 0.5× 1.4k 0.9× 547 1.3× 228 0.6× 103 0.5× 135 1.9k
H.R.Z. Sandim Brazil 31 2.0k 0.7× 1.9k 1.3× 754 1.8× 220 0.5× 69 0.4× 138 2.9k
Yoshikazu Todaka Japan 30 2.5k 0.9× 2.4k 1.6× 975 2.3× 140 0.3× 80 0.4× 172 3.2k
A.M. Russell United States 33 2.0k 0.7× 2.9k 1.9× 641 1.5× 433 1.1× 189 1.0× 122 3.8k
R. Pareja Spain 29 1.7k 0.6× 933 0.6× 662 1.5× 121 0.3× 172 0.9× 108 2.3k

Countries citing papers authored by J. San Juán

Since Specialization
Citations

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

Fields of papers citing papers by J. San Juán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. San Juán. 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 J. San Juán. The network helps show where J. San Juán may publish in the future.

Co-authorship network of co-authors of J. San Juán

This figure shows the co-authorship network connecting the top 25 collaborators of J. San Juán. A scholar is included among the top collaborators of J. San Juán 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 J. San Juán. J. San Juán 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.
Ruiz‐Larrea, I., et al.. (2025). Optimising the laser powder bed fusion processing parameters of Cu-Al-Ni shape memory alloys: microstructure and functional properties relationship. Virtual and Physical Prototyping. 20(1). 2 indexed citations
2.
Serna, R., J. San Juán, M.L. Nó, et al.. (2023). Temperature-Dependent Anisotropic Refractive Index in β-Ga2O3: Application in Interferometric Thermometers. Nanomaterials. 13(6). 1126–1126. 9 indexed citations
3.
Nó, M.L., et al.. (2023). Thermal Stability of Cu-Al-Ni Shape Memory Alloy Thin Films Obtained by Nanometer Multilayer Deposition. Nanomaterials. 13(18). 2605–2605. 4 indexed citations
4.
Klein, Thomas, Boryana Rashkova, M.L. Nó, et al.. (2017). Mechanical behavior and related microstructural aspects of a nano-lamellar TiAl alloy at elevated temperatures. Acta Materialia. 128. 440–450. 116 indexed citations
5.
Nó, M.L., et al.. (2017). Size effect and scaling power-law for superelasticity in shape-memory alloys at the nanoscale. Nature Nanotechnology. 12(8). 790–796. 81 indexed citations
6.
Juán, J. San, et al.. (2014). Long-term superelastic cycling at nano-scale in Cu-Al-Ni shape memory alloy micropillars. Applied Physics Letters. 104(1). 11901–11901. 24 indexed citations
7.
Castillo‐Rodríguez, Miguel, et al.. (2014). High temperature internal friction measurements of 3YTZP zirconia polycrystals. High temperature background and creep. Journal of the European Ceramic Society. 34(15). 3859–3863. 4 indexed citations
8.
Juán, J. San. (2012). Filipino Immigrants in the United States. Philippine Studies Historical and Ethnographic Viewpoints. 48(1). 3 indexed citations
9.
Juán, J. San, M.L. Nó, & Christopher A. Schuh. (2011). Thermomechanical behavior at the nanoscale and size effects in shape memory alloys. Journal of materials research/Pratt's guide to venture capital sources. 26(19). 2461–2469. 39 indexed citations
10.
Juán, J. San & M.L. Nó. (2011). Superelasticity and shape memory at nano-scale: Size effects on the martensitic transformation. Journal of Alloys and Compounds. 577. S25–S29. 25 indexed citations
11.
Juán, J. San, M.L. Nó, & Christopher A. Schuh. (2009). Nanoscale shape-memory alloys for ultrahigh mechanical damping. Nature Nanotechnology. 4(7). 415–419. 237 indexed citations
12.
Porta, Núria, et al.. (2008). Estudio de concordancia diagnóstica en Dermatología entre Atención Primaria y Especializada en el área de salud de un hospital de referencia. Actas Dermo-Sifiliográficas. 99(3). 207–212. 21 indexed citations
13.
Juán, J. San, M.L. Nó, & Christopher A. Schuh. (2007). Superelasticity and Shape Memory in Micro‐ and Nanometer‐scale Pillars. Advanced Materials. 20(2). 272–278. 141 indexed citations
14.
Juán, J. San, M.L. Nó, Jacques Lacaze, Bernard Viguier, & D. Fournier. (2006). Internal friction in advanced Fe–Al intermetallics. Materials Science and Engineering A. 442(1-2). 492–495. 11 indexed citations
15.
Juán, J. San, I. Gallego, & M.L. Nó. (2001). Construcción de un péndulo de torsión para la medida de la fricción interna a bajas temperaturas. Revista de Metalurgia. 37(2). 209–214.
16.
Pérez‐Sáez, R. B., V. Recarte, M.L. Nó, & J. San Juán. (2000). Analysis of the internal friction spectra during martensitic transformation by a new temperature rate method. Journal of Alloys and Compounds. 310(1-2). 334–338. 17 indexed citations
17.
18.
Gallego, I., M.L. Nó, & J. San Juán. (2000). Analysis of the internal friction spectra of high purity aluminium at medium temperatures. Journal of Alloys and Compounds. 310(1-2). 119–123. 3 indexed citations
19.
Watts, G., et al.. (1996). Facial paralysis caused by a lymphoepithelial cyst located in the parotid gland. The Journal of Laryngology & Otology. 110(8). 799–801. 6 indexed citations
20.
Pérez‐Sáez, R. B., M.L. Nó, & J. San Juán. (1995). Influence of Thermal Cycling in a Fe-Mn-Si-Cr Shape Memory Alloy. Journal de Physique IV (Proceedings). 5(C2). C2–443. 1 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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