Jaime E. Ramı́rez-Vick

2.5k total citations · 2 hit papers
34 papers, 2.0k citations indexed

About

Jaime E. Ramı́rez-Vick is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Jaime E. Ramı́rez-Vick has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Biomedical Engineering and 6 papers in Surgery. Recurrent topics in Jaime E. Ramı́rez-Vick's work include Bone Tissue Engineering Materials (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and RNA Interference and Gene Delivery (4 papers). Jaime E. Ramı́rez-Vick is often cited by papers focused on Bone Tissue Engineering Materials (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and RNA Interference and Gene Delivery (4 papers). Jaime E. Ramı́rez-Vick collaborates with scholars based in United States, Puerto Rico and India. Jaime E. Ramı́rez-Vick's co-authors include Liliana Polo-Corrales, Magda Latorre‐Esteves, Surinder P. Singh, Sunil K. Arya, Vinay Gupta, Shekhar Bhansali, Shibu Saha, Claudia Acevedo-Morantes, Kavita Arora and Anu Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and ACS Applied Materials & Interfaces.

In The Last Decade

Jaime E. Ramı́rez-Vick

33 papers receiving 1.9k citations

Hit Papers

Scaffold Design for Bone Regeneration 2012 2026 2016 2021 2014 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaime E. Ramı́rez-Vick United States 16 1.1k 452 443 436 433 34 2.0k
Marie Hubálek Kalbáčová Czechia 27 1.2k 1.1× 1.1k 2.5× 382 0.9× 352 0.8× 216 0.5× 75 2.4k
Daniel J. Hayes United States 28 974 0.9× 341 0.8× 557 1.3× 662 1.5× 115 0.3× 87 2.4k
Jeong Ho Chang South Korea 23 579 0.5× 349 0.8× 614 1.4× 561 1.3× 157 0.4× 61 1.9k
Ye Zhu China 30 1.0k 1.0× 522 1.2× 1.6k 3.7× 304 0.7× 476 1.1× 76 3.0k
Lian Zhu China 20 512 0.5× 188 0.4× 754 1.7× 166 0.4× 352 0.8× 70 1.6k
Rajesh Vasita India 23 1.1k 1.0× 287 0.6× 271 0.6× 1.3k 3.1× 152 0.4× 42 2.3k
Fengzhen Liu China 22 541 0.5× 194 0.4× 434 1.0× 145 0.3× 364 0.8× 65 1.4k
Yonglan Wang China 24 358 0.3× 278 0.6× 213 0.5× 147 0.3× 403 0.9× 62 1.3k
Nathalie Bock Australia 23 1.4k 1.3× 175 0.4× 259 0.6× 1.1k 2.5× 445 1.0× 58 2.5k

Countries citing papers authored by Jaime E. Ramı́rez-Vick

Since Specialization
Citations

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

Fields of papers citing papers by Jaime E. Ramı́rez-Vick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime E. Ramı́rez-Vick. 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 Jaime E. Ramı́rez-Vick. The network helps show where Jaime E. Ramı́rez-Vick may publish in the future.

Co-authorship network of co-authors of Jaime E. Ramı́rez-Vick

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime E. Ramı́rez-Vick. A scholar is included among the top collaborators of Jaime E. Ramı́rez-Vick 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 Jaime E. Ramı́rez-Vick. Jaime E. Ramı́rez-Vick 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.
Mittal, Sandeep, et al.. (2025). Graphene oxide–chloroquine conjugate induces DNA damage in A549 lung cancer cells through autophagy modulation. Beilstein Journal of Nanotechnology. 16. 316–332. 1 indexed citations
2.
Zadeh, Amir Hassan, et al.. (2024). Predictive analytics for de novo malignancies after lung transplantation. Intelligent Decision Technologies. 19(2). 1040–1053.
3.
Ramı́rez-Vick, Jaime E., et al.. (2021). Effect of all-trans retinoic acid and pentagalloyl glucose on smooth muscle cell elastogenesis. Bio-Medical Materials and Engineering. 32(3). 145–157. 2 indexed citations
4.
Zohora, Fatema Tuj, et al.. (2020). Effect of Pulsed Electromagnetic Fields on Human Mesenchymal Stem Cells Using 3D Magnetic Scaffolds. Bioelectromagnetics. 41(3). 175–187. 21 indexed citations
5.
Zohora, Fatema Tuj, et al.. (2019). Gene Expression Profiling of Human Adipose Tissue Stem Cells during 2D versus 3D Adipogenesis. Cells Tissues Organs. 208(3-4). 113–133. 5 indexed citations
6.
Polo-Corrales, Liliana, et al.. (2018). Recent Advances in Biophysical stimulation of MSC for bone regeneration. Indian Journal of Science and Technology. 11(15). 1–41. 3 indexed citations
7.
Polo-Corrales, Liliana, et al.. (2018). Recent Advances in Biophysical stimulation of MSC for bone regeneration. Indian Journal of Science and Technology. 11(15). 1–41. 5 indexed citations
8.
Mittal, Sandeep, et al.. (2018). Graphene Oxide–Chloroquine Nanoconjugate Induce Necroptotic Death in A549 Cancer Cells Through Autophagy Modulation. Nanomedicine. 13(18). 2261–2282. 41 indexed citations
9.
Domenech, Maribella, et al.. (2016). Tissue Engineering Strategies for Myocardial Regeneration: Acellular Versus Cellular Scaffolds?. Tissue Engineering Part B Reviews. 22(6). 438–458. 78 indexed citations
10.
Choudhary, Meenakshi, Anu Singh, Satbir Kaur, et al.. (2016). CD 59 Targeted Ultrasensitive Electrochemical Immunosensor for Fast and Noninvasive Diagnosis of Oral Cancer. Electroanalysis. 28(10). 2565–2574. 59 indexed citations
11.
Alvarado‐Velez, Melissa, Claudia Acevedo-Morantes, Surinder P. Singh, et al.. (2013). Fibronectin and Vitronectin Promote Human Fetal Osteoblast Cell Attachment and Proliferation on Nanoporous Titanium Surfaces. Journal of Biomedical Nanotechnology. 9(6). 1092–1097. 102 indexed citations
12.
13.
Acevedo-Morantes, Claudia, et al.. (2013). Evaluation of the cytotoxic effect of camptothecin solid lipid nanoparticles on MCF7 cells. Drug Delivery. 20(8). 338–348. 38 indexed citations
14.
Joshi, Prachi, Soumyananda Chakraborti, Jaime E. Ramı́rez-Vick, et al.. (2012). The anticancer activity of chloroquine-gold nanoparticles against MCF-7 breast cancer cells. Colloids and Surfaces B Biointerfaces. 95. 195–200. 84 indexed citations
15.
Arya, Sunil K., Shibu Saha, Jaime E. Ramı́rez-Vick, et al.. (2012). Recent advances in ZnO nanostructures and thin films for biosensor applications: Review. Analytica Chimica Acta. 737. 1–21. 494 indexed citations breakdown →
16.
Ramı́rez-Vick, Jaime E., et al.. (2011). Cytotoxic studies of PEG functionalized ZnO Nanoparticles on MCF-7 cancer cells. TechConnect Briefs. 3(2011). 420–423. 17 indexed citations
17.
Arya, Sunil K., et al.. (2011). Zinc Oxide Nanorods Modified Indium Tin Oxide Surface for Amperometric Urea Biosensor. Journal of Nanoscience and Nanotechnology. 11(8). 6683–6689. 15 indexed citations
18.
Castillo, Linda G., Jaime E. Ramı́rez-Vick, Michael J. Glauser, et al.. (2005). New Trends in Engineering Education: The AGEP: CNY-PR. 70. S1A–1. 1 indexed citations
19.
Ramı́rez-Vick, Jaime E., Antonio A. Garcı́a, & James Lee. (2000). Immobilization of silver ions onto paramagnetic particles for binding and release of a biotin-labeled oligonucleotide. Reactive and Functional Polymers. 43(1-2). 53–62. 2 indexed citations
20.
Ramı́rez-Vick, Jaime E., Antonio A. Garcı́a, & James Lee. (1998). Recovery of an Oligonucleotide Using Silver Ions Immobilized on to Paramagnetic Particles. Preparative Biochemistry & Biotechnology. 28(3). 243–260. 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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