Long Liao

629 total citations
22 papers, 528 citations indexed

About

Long Liao is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Long Liao has authored 22 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 4 papers in Biomaterials. Recurrent topics in Long Liao's work include Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Long Liao is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Long Liao collaborates with scholars based in Japan, China and Czechia. Long Liao's co-authors include Jun Fang, Hiroshi Maeda, Hongzhuan Yin, Hideaki Nakamura, Kenji Tsukigawa, Qi Su, Haibo Qin, Vladimír Šubr, Karel Ulbrich and Khaled Greish and has published in prestigious journals such as Journal of Controlled Release, Journal of Pharmaceutical Sciences and Carcinogenesis.

In The Last Decade

Long Liao

21 papers receiving 520 citations

Peers

Long Liao
Comparison fields: 5 of 102
  • Molecular Biology 238
  • Biomedical Engineering 176
  • Biomaterials 130
  • Pulmonary and Respiratory Medicine 83
  • Materials Chemistry 81
Replace You Li with:
You Li China
Michael Knoll United States
Wided Najahi‐Missaoui United States
Shahnawaz Rehman India
Mojtaba Fathi Iran
S. Chidananda Sharma India
Yinghui Wei China
Theodora Mantso Greece
Yuqian Cui China
You Li China View profile →
Citations per field, relative to Long Liao
Long Liao · 1×
Citations per year, relative to Long Liao
Long Liao · 1×

Countries citing papers authored by Long Liao

Since Specialization
Citations

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

Fields of papers citing papers by Long Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Long Liao. A scholar is included among the top collaborators of Long Liao 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 Long Liao. Long Liao 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
# Work Indexed citations
1 1
2 2
3 11
4 4
5 0
6 5
7 15
8 25
9 22
10 43
11 87
12 13
13 77
14 47
15 40
16 3
17 32
18 57
19
T-S Fuzzy Model Identification with Growing and Pruning Rules for Nonlinear Systems
5
20
Application Study on Technology of CO_2-Supercritical Fluid in Chrome Tanning
2

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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