Luis Solorio

2.4k citations
70 papers · 1.9k · h-index 24

Impact in

Papers in

Luis Solorio

67 papers receiving 1.9k citations

Peers

Luis Solorio
Comparison fields: 5 of 123
  • Pharmaceutical Science 247
  • Biomaterials 462
  • Molecular Medicine 129
  • Biomedical Engineering 791
  • Cell Biology 149
Replace Stefano Menegatti with:
Stefano Menegatti United States
Neil Lagali Sweden
Hsin‐I Chang Taiwan
Annalisa Tirella Italy
Yang Yun United States
Chun Gwon Park South Korea
Yong‐Hee Kim South Korea
Matthias Bartneck Germany
Raquel M. Gonçalves Portugal
Pranay Agarwal United States
Luis Solorio relative to Stefano Menegatti United States Stefano Menegatti's profile →
Citations per field
00.5×1.6×
Stefano Menegatti · 1×
Citations per year

Countries citing papers authored by Luis Solorio

Since Specialization
Citations

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

Fields of papers citing papers by Luis Solorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luis Solorio, 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 Luis Solorio Line = papers co-authored together Luis Solorio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021235
2 2010145
3 2009120
4 2013114
5 2010104
6 2020101
7 201885
8 202078
9 201067
10 201863
11 201061
12 201352
13 201250
14 201944
15 202043
16 202036
17 200933
18 201533
19 202432
20 201630

About Luis Solorio

Luis Solorio is a scholar working on Biomedical Engineering, Cell Biology, Molecular Biology, Pharmaceutical Science and Biomaterials, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (11 papers), Ultrasound and Hyperthermia Applications (8 papers), Cellular Mechanics and Interactions (8 papers), Advanced Drug Delivery Systems (8 papers), Drug Solubulity and Delivery Systems (7 papers), Micro and Nano Robotics (6 papers), Hydrogels: synthesis, properties, applications (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Pharmaceutical Science (247 citations), Biomaterials (462 citations), Molecular Medicine (129 citations), Biomedical Engineering (791 citations) and Cell Biology (149 citations). Luis Solorio has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Agata A. Exner, Ravi B. Patel, Tianyi M. Krupka, Han‐Ping Wu, Sarah Libring, Michael K. Wendt, Aparna Shinde, Nami Azar, Jan P. Stegemann and Amanda W. Lund. Their work appears in journals such as Annals of Biomedical Engineering, Journal of Controlled Release, Oncogene, Advanced Materials and Therapeutic Delivery.

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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