Linyu Long

3.2k citations
35 papers · 2.6k indexed · 4 hit papers · h-index 21

Linyu Long

30 papers receiving 2.6k citations

Hit Papers

A spatiotemporal release platform based on pH/ROS stim...3322018202620202023100200300400

Peers

Linyu Long
Comparison fields: 5 of 110
  • Rehabilitation 966
  • Biomaterials 1.2k
  • Molecular Medicine 371
  • Pharmaceutical Science 250
  • Occupational Therapy 100
Replace Guiting Liu with:
Guiting Liu China
Tingli Lu China
Yutong Yang China
Zuhao Li China
Xianqin Tong China
Huacheng He China
Avijit Baidya United States
Rui Guo China
Cong Mao China
Qijuan Yuan China
Linyu Long relative to Guiting Liu China Guiting Liu's profile →
Citations per field
00.5×1.5×
Guiting Liu · 1×
Citations per year

Countries citing papers authored by Linyu Long

Since Specialization
Citations

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

Fields of papers citing papers by Linyu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20250
6 20245
7 20249
8 202361
9 202390
10 202325
11 202319
12 202265
13 2022116
14 202279
15 202232
16
Inflammation-Responsive Drug-Loaded Hydrogels with Sequential Hemostasis, Antibacterial, and Anti-Inflammatory Behavior for Chronically Infected Diabetic Wound Treatmentbreakdown →
2021289
17 202153
18 202167
19
A spatiotemporal release platform based on pH/ROS stimuli-responsive hydrogel in wound repairingbreakdown →
2021332
20 2020225

About Linyu Long

Linyu Long is a scholar working on Rehabilitation, Biomaterials and Pharmaceutical Science, having authored 35 papers that have together received 2.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (15 papers), Wound Healing and Treatments (13 papers), Tissue Engineering and Regenerative Medicine (9 papers), Advancements in Transdermal Drug Delivery (5 papers), Corneal Surgery and Treatments (5 papers), Cardiac Fibrosis and Remodeling (4 papers), Corneal surgery and disorders (4 papers) and Ocular Surface and Contact Lens (4 papers). The work is most often cited by research in Rehabilitation (966 citations), Biomaterials (1.2k citations) and Molecular Medicine (371 citations). Linyu Long has collaborated with scholars based in China. Frequent co-authors include Yunbing Wang, Cheng Hu, Yunxuan Weng, Yu‐Zhong Wang, Qingquan Kong, Ye Wu, Yu Wang, Li Yang, Juan Cao and Shumang Zhang. Their work appears in journals such as Journal of Controlled Release, Chemical Engineering Journal, Journal of Materials Chemistry B, Polymers and ACS Applied Materials & Interfaces.

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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