Javier Ruiz-Ramírez

752 citations
27 papers · 471 · h-index 13

Impact in

Papers in

    • Mathematical Biology Tumor Growth 10
    • Fractional Differential Equations Solutions 3
    • Cancer Immunotherapy and Biomarkers 3
    • Pancreatic and Hepatic Oncology Research 3

Javier Ruiz-Ramírez

27 papers receiving 464 citations

Peers

Javier Ruiz-Ramírez
Comparison fields: 5 of 83
  • Modeling and Simulation 195
  • Numerical Analysis 68
  • Biomaterials 93
  • Statistical and Nonlinear Physics 72
  • Molecular Medicine 14
Replace Cuihong Wang with:
Cuihong Wang China
Xinfeng Liu United States
Zuzanna Szymańska Poland
José Luíz Boldrini Brazil
Angela M. Jarrett United States
Steffen E. Eikenberry United States
Mark A. Taylor United Kingdom
Shaghayegh Haghjooy Javanmard Iran
Morgan Craig Canada
Javier Ruiz-Ramírez relative to Cuihong Wang China Cuihong Wang's profile →
Citations per field
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Cuihong Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Javier Ruiz-Ramírez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Ruiz-Ramírez Line = papers co-authored together Javier Ruiz-Ramírez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 202059
3 201447
4 201035
5 201134
6 201132
7 202028
8 202128
9 202019
10 199119
11 202116
12 202215
13 202412
14 202311
15 202010
16 20206
17 20136
18 20096
19 20105
20 20224

About Javier Ruiz-Ramírez

Javier Ruiz-Ramírez is a scholar working on Modeling and Simulation, Oncology, Computational Mechanics, Molecular Biology and Biomaterials, having authored 27 papers that have together received 471 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (10 papers), Nanoparticle-Based Drug Delivery (5 papers), Differential Equations and Numerical Methods (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Nonlinear Waves and Solitons (3 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Modeling and Simulation (195 citations), Numerical Analysis (68 citations), Biomaterials (93 citations), Statistical and Nonlinear Physics (72 citations) and Molecular Medicine (14 citations). Javier Ruiz-Ramírez has collaborated with scholars based in United States, Mexico and Switzerland. Frequent co-authors include Jorge E. Macías‐Díaz, Prashant Dogra, Vittorio Cristini, Zhihui Wang, Vincent J. Ervin, Joseph D. Butner, C. Jeffrey Brinker, Achraf Noureddine, Yao-Li Chuang and Mauro Ferrari. Their work appears in journals such as Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications, Current Topics in Medicinal Chemistry, Cell Death and Disease and Journal of Theoretical Biology.

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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