Juan Soler

3.2k total citations
92 papers, 2.2k citations indexed

About

Juan Soler is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Mathematical Physics. According to data from OpenAlex, Juan Soler has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Applied Mathematics, 25 papers in Statistical and Nonlinear Physics and 23 papers in Mathematical Physics. Recurrent topics in Juan Soler's work include Gas Dynamics and Kinetic Theory (22 papers), Mathematical Biology Tumor Growth (20 papers) and Navier-Stokes equation solutions (17 papers). Juan Soler is often cited by papers focused on Gas Dynamics and Kinetic Theory (22 papers), Mathematical Biology Tumor Growth (20 papers) and Navier-Stokes equation solutions (17 papers). Juan Soler collaborates with scholars based in Spain, France and Italy. Juan Soler's co-authors include Nicola Bellomo, Juanjo Nieto, Abdelghani Bellouquid, Óscar Sánchez, José A. Carrillo, N. BELLOMO, F. Poupaud, L. L. Bonilla, David Poyato and José Luis López and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. B, Condensed matter.

In The Last Decade

Juan Soler

89 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Soler Spain 27 763 642 543 373 347 92 2.2k
Philippe Laurençot France 27 919 1.2× 854 1.3× 214 0.4× 406 1.1× 589 1.7× 180 2.6k
Mirosław Lachowicz Poland 21 608 0.8× 316 0.5× 326 0.6× 274 0.7× 191 0.6× 91 1.3k
B. D. Sleeman United Kingdom 28 1.0k 1.3× 368 0.6× 226 0.4× 738 2.0× 834 2.4× 168 2.9k
Lenya Ryzhik United States 22 531 0.7× 458 0.7× 149 0.3× 155 0.4× 430 1.2× 77 1.5k
Chunlai Mu China 28 1.6k 2.1× 856 1.3× 519 1.0× 998 2.7× 740 2.1× 289 3.0k
Marco Di Francesco Italy 20 613 0.8× 446 0.7× 106 0.2× 168 0.5× 261 0.8× 49 1.3k
Miguel A. Herrero Spain 30 1.2k 1.6× 1.0k 1.6× 152 0.3× 780 2.1× 583 1.7× 96 3.0k
Stéphane Mischler France 23 412 0.5× 665 1.0× 328 0.6× 118 0.3× 434 1.3× 55 1.5k
Yulan Wang China 26 1.5k 1.9× 240 0.4× 249 0.5× 532 1.4× 116 0.3× 119 1.9k
Pierre‐Emmanuel Jabin France 24 410 0.5× 766 1.2× 290 0.5× 105 0.3× 317 0.9× 84 1.6k

Countries citing papers authored by Juan Soler

Since Specialization
Citations

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

Fields of papers citing papers by Juan Soler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Soler

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Soler. A scholar is included among the top collaborators of Juan Soler 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 Soler. Juan Soler 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.
Palma, Roberto, Gema Jiménez, Carmen Griñán‐Lisón, et al.. (2024). Modeling low-intensity ultrasound mechanotherapy impact on growing cancer stem cells. Mathematics and Computers in Simulation. 228. 87–102. 3 indexed citations
2.
Poyato, David, et al.. (2022). Predictive model for cytoneme guidance in Hedgehog signaling based on Ihog- Glypicans interaction. Nature Communications. 13(1). 5647–5647. 11 indexed citations
3.
Campos, Juan, et al.. (2021). Modeling Interactions among Migration, Growth and Pressure in Tumor Dynamics. Mathematics. 9(12). 1376–1376. 6 indexed citations
4.
Casas‐Tintó, Sergio, et al.. (2021). Modeling invasion patterns in the glioblastoma battlefield. PLoS Computational Biology. 17(1). e1008632–e1008632. 16 indexed citations
5.
Poyato, David & Juan Soler. (2016). Modeling social crowds. Physics of Life Reviews. 18. 50–52. 1 indexed citations
6.
Bellomo, Nicola, et al.. (2015). From a systems theory of sociology to modeling the onset and evolution of criminality. Networks and Heterogeneous Media. 10(3). 421–441. 36 indexed citations
7.
López, José Luis & Juan Soler. (2015). Mathematics and Biology: A round trip. Physics of Life Reviews. 12. 78–80. 1 indexed citations
8.
Sánchez, Óscar, Juan Calvo, Carmen Ibáñez, Isabel Guerrero, & Juan Soler. (2015). Modeling Hedgehog Signaling Through Flux-Saturated Mechanisms. Methods in molecular biology. 1322. 19–33. 3 indexed citations
9.
Sánchez, Óscar, Irene Siegl‐Cachedenier, Alan Carleton, et al.. (2013). Morphogenetic action through flux-limited spreading. Physics of Life Reviews. 10(4). 457–475. 43 indexed citations
10.
Andreu, F., Juan Calvo, José M. Mazón, & Juan Soler. (2012). On a nonlinear flux-limited equation arising in the transport of morphogens. Journal of Differential Equations. 252(10). 5763–5813. 14 indexed citations
11.
Bellomo, Nicola, Abdelghani Bellouquid, Juanjo Nieto, & Juan Soler. (2009). Complexity and mathematical tools toward the modelling of multicellular growing systems. Mathematical and Computer Modelling. 51(5-6). 441–451. 36 indexed citations
12.
Bellomo, Nicola, Abdelghani Bellouquid, & Juan Soler. (2008). From the mathematical kinetic theory for active particles on the derivation of hyperbolic macroscopic tissue models. Mathematical and Computer Modelling. 49(11-12). 2083–2093. 4 indexed citations
13.
Goudon, Thierry, Juanjo Nieto, F. Poupaud, & Juan Soler. (2004). Multidimensional high-field limit of the electrostatic Vlasov–Poisson–Fokker–Planck system. Journal of Differential Equations. 213(2). 418–442. 49 indexed citations
14.
Ringhofer, Christian & Juan Soler. (2000). Discrete Schrödinger-Poisson systems preserving energy and mass. Applied Mathematics Letters. 13(7). 27–32. 9 indexed citations
15.
Arriola, E. Ruiz & Juan Soler. (1999). Asymptotic behaviour for the 3-D Schrödinger-Poisson System in the attractive case with positive energy. Applied Mathematics Letters. 12(8). 1–6. 7 indexed citations
16.
López, José Luis & Juan Soler. (1997). Scaling limits in the 3-D Schrödinger-Poisson system. Applied Mathematics Letters. 10(5). 61–65. 5 indexed citations
17.
Carrillo, José A. & Juan Soler. (1997). On the Vlasov–Poisson–Fokker–Planck Equations with Measures in Morrey Spaces as Initial Data. Journal of Mathematical Analysis and Applications. 207(2). 475–495. 30 indexed citations
18.
Carrillo, José A., Juan Soler, & Juan Luís Vázquez. (1996). Asymptotic Behaviour and Self-Similarity for the Three Dimensional Vlasov–Poisson–Fokker–Planck System. Journal of Functional Analysis. 141(1). 99–132. 43 indexed citations
19.
Soler, Juan. (1994). L∞ Stability for Weak Solutions of the Navier-Stokes Equations in R3 with Singular Initial Data in Morrey Spaces. Journal of Mathematical Analysis and Applications. 187(2). 513–525. 3 indexed citations
20.
Soler, Juan. (1987). On cubature with a minimal number of lines. Journal of Computational and Applied Mathematics. 19(2). 223–230. 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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