Javier Ruiz-Ramírez

752 total citations
27 papers, 471 citations indexed

About

Javier Ruiz-Ramírez is a scholar working on Modeling and Simulation, Oncology and Computational Mechanics. According to data from OpenAlex, Javier Ruiz-Ramírez has authored 27 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 7 papers in Oncology and 6 papers in Computational Mechanics. Recurrent topics in Javier Ruiz-Ramírez's work include Mathematical Biology Tumor Growth (10 papers), Nanoparticle-Based Drug Delivery (5 papers) and Differential Equations and Numerical Methods (4 papers). Javier Ruiz-Ramírez is often cited by papers focused on Mathematical Biology Tumor Growth (10 papers), Nanoparticle-Based Drug Delivery (5 papers) and Differential Equations and Numerical Methods (4 papers). Javier Ruiz-Ramírez collaborates with scholars based in United States, Mexico and Switzerland. Javier Ruiz-Ramírez's co-authors include Jorge E. Macías‐Díaz, Prashant Dogra, Vittorio Cristini, Zhihui Wang, Vincent J. Ervin, Joseph D. Butner, Achraf Noureddine, C. Jeffrey Brinker, Yao-Li Chuang and Mauro Ferrari and has published in prestigious journals such as Nanoscale, Molecular Cancer and Pharmaceutical Research.

In The Last Decade

Javier Ruiz-Ramírez

27 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javier Ruiz-Ramírez United States	13	195	98	93	73	73	27	471
Cuihong Wang China	12	51 0.3×	83 0.8×	49 0.5×	81 1.1×	17 0.2×	53	574
Xinfeng Liu United States	10	71 0.4×	70 0.7×	21 0.2×	88 1.2×	74 1.0×	17	378
Angela M. Jarrett United States	20	352 1.8×	99 1.0×	9 0.1×	183 2.5×	194 2.7×	41	829
Steffen E. Eikenberry United States	13	303 1.6×	69 0.7×	50 0.5×	92 1.3×	91 1.2×	23	702
Zuzanna Szymańska Poland	11	470 2.4×	49 0.5×	11 0.1×	280 3.8×	154 2.1×	28	627
José Luíz Boldrini Brazil	15	159 0.8×	14 0.1×	4 0.0×	56 0.8×	37 0.5×	82	821
Adrianne L. Jenner Australia	13	131 0.7×	44 0.4×	10 0.1×	172 2.4×	147 2.0×	39	462
Morgan Craig Canada	16	184 0.9×	55 0.6×	10 0.1×	234 3.2×	142 1.9×	50	785
Shaghayegh Haghjooy Javanmard Iran	10	105 0.5×	104 1.1×	34 0.4×	64 0.9×	18 0.2×	26	346
Juan Carlos López Alfonso Germany	17	275 1.4×	84 0.9×	7 0.1×	140 1.9×	191 2.6×	32	750

Countries citing papers authored by Javier Ruiz-Ramírez

Since Specialization

Citations

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

Fields of papers citing papers by Javier Ruiz-Ramírez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Ruiz-Ramírez. 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 Javier Ruiz-Ramírez. The network helps show where Javier Ruiz-Ramírez may publish in the future.

Co-authorship network of co-authors of Javier Ruiz-Ramírez

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

All Works

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20 of 20 papers shown

Lau, Christie J., et al.. (2024). TooManyCellsInteractive: A visualization tool for dynamic exploration of single-cell data. GigaScience. 13. 1 indexed citations

Dogra, Prashant, Javier Ruiz-Ramírez, Joseph D. Butner, et al.. (2024). Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer. Molecular Cancer. 23(1). 156–156. 12 indexed citations

Dogra, Prashant, Zhihui Wang, Javier Ruiz-Ramírez, et al.. (2023). A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection. JCI Insight. 8(13). 11 indexed citations

Dogra, Prashant, Javier Ruiz-Ramírez, Joseph D. Butner, et al.. (2022). Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer. Pharmaceutical Research. 39(3). 511–528. 15 indexed citations

Butner, Joseph D., Prashant Dogra, Caroline Chung, et al.. (2022). Dedifferentiation-mediated stem cell niche maintenance in early-stage ductal carcinoma in situ progression: insights from a multiscale modeling study. Cell Death and Disease. 13(5). 485–485. 4 indexed citations

Butner, Joseph D., Zhihui Wang, Dalia Elganainy, et al.. (2021). A mathematical model for the quantification of a patient’s sensitivity to checkpoint inhibitors and long-term tumour burden. Nature Biomedical Engineering. 5(4). 297–308. 28 indexed citations

Anaya, Daniel A., Prashant Dogra, Zhihui Wang, et al.. (2021). A Mathematical Model to Estimate Chemotherapy Concentration at the Tumor-Site and Predict Therapy Response in Colorectal Cancer Patients with Liver Metastases. Cancers. 13(3). 444–444. 16 indexed citations

Dogra, Prashant, Javier Ruiz-Ramírez, Joseph D. Butner, et al.. (2020). Innate Immunity Plays a Key Role in Controlling Viral Load in COVID-19: Mechanistic Insights from a Whole-Body Infection Dynamics Model. ACS Pharmacology & Translational Science. 4(1). 248–265. 28 indexed citations

Ruiz-Ramírez, Javier, Prashant Dogra, Zhihui Wang, et al.. (2020). Intratumoral injection of hydrogel-embedded nanoparticles enhances retention in glioblastoma. Nanoscale. 12(46). 23838–23850. 59 indexed citations

10.

Dogra, Prashant, Joseph D. Butner, Sara Nizzero, et al.. (2020). Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 12(5). e1628–e1628. 19 indexed citations

11.

Ruiz-Ramírez, Javier, Artūras Žiemys, Prashant Dogra, & Mauro Ferrari. (2020). A modeling platform for the lymphatic system. Journal of Theoretical Biology. 493. 110193–110193. 6 indexed citations

12.

Dogra, Prashant, Joseph D. Butner, Javier Ruiz-Ramírez, et al.. (2020). A mathematical model to predict nanomedicine pharmacokinetics and tumor delivery. Computational and Structural Biotechnology Journal. 18. 518–531. 66 indexed citations

13.

Anaya, Daniel A., Prashant Dogra, Zhihui Wang, et al.. (2020). A Mathematical Model to Estimate Chemotherapy Concentration at the Tumor-Site and Predict Therapy Response in Colorectal Cancer Patients with Liver Metastases. SSRN Electronic Journal. 1 indexed citations

14.

Ervin, Vincent J. & Javier Ruiz-Ramírez. (2018). A deposition model coupling Stokes’ and Darcy’s equations with nonlinear deposition. Journal of Computational and Applied Mathematics. 340. 151–172. 3 indexed citations

15.

Ruiz-Ramírez, Javier. (2016). Preserving nonnegativity of an affine finite element approximation for a convection–diffusion–reaction problem. Journal of Computational and Applied Mathematics. 306. 286–299. 3 indexed citations

16.

Ervin, Vincent J., et al.. (2016). Nonlinear Darcy fluid flow with deposition. Journal of Computational and Applied Mathematics. 309. 79–94. 3 indexed citations

17.

Ervin, Vincent J., Jorge E. Macías‐Díaz, & Javier Ruiz-Ramírez. (2014). A positive and bounded finite element approximation of the generalized Burgers–Huxley equation. Journal of Mathematical Analysis and Applications. 424(2). 1143–1160. 47 indexed citations

18.

Ruiz-Ramírez, Javier & Jorge E. Macías‐Díaz. (2013). A skew symmetry-preserving computational technique for obtaining the positive and the bounded solutions of a time-delayed advection–diffusion–reaction equation. Journal of Computational and Applied Mathematics. 250. 256–269. 6 indexed citations

19.

Ruiz-Ramírez, Javier & Jorge E. Macías‐Díaz. (2011). A finite-difference scheme to approximate non-negative and bounded solutions of a FitzHugh–Nagumo equation. International Journal of Computer Mathematics. 88(15). 3186–3201. 32 indexed citations

20.

Macías‐Díaz, Jorge E. & Javier Ruiz-Ramírez. (2010). A non-standard symmetry-preserving method to compute bounded solutions of a generalized Newell–Whitehead–Segel equation. Applied Numerical Mathematics. 61(4). 630–640. 35 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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