Long Liao
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 4
-
- Nanoplatforms for cancer theranostics 4
- Co-authors
- Jun Fang (12 shared papers)Hiroshi Maeda (10 shared papers)Hongzhuan Yin (8 shared papers)Hideaki Nakamura (6 shared papers)Kenji Tsukigawa (3 shared papers)Qi Su (1 shared paper)Karel Ulbrich (2 shared papers)Vladimír Šubr (2 shared papers)
In The Last Decade
Long Liao
22 papers receiving 531 citations
Peers
Comparison fields: 5 of 95
- Biomaterials 124
- Biochemistry 35
- Biomedical Engineering 172
- Molecular Biology 235
- Biotechnology 29
Countries citing papers authored by Long Liao
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
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-authors
The 25 scholars most cited alongside Long Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 89 | |
| 2 | 2014 | 76 | |
| 3 | 2012 | 58 | |
| 4 | 2014 | 48 | |
| 5 | 2014 | 43 | |
| 6 | 2013 | 40 | |
| 7 | 2012 | 32 | |
| 8 | 2015 | 30 | |
| 9 | 2015 | 25 | |
| 10 | 2015 | 22 | |
| 11 | 2016 | 15 | |
| 12 | 2014 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 8 | |
| 16 | T-S Fuzzy Model Identification with Growing and Pruning Rules for Nonlinear Systems | 2007 | 5 |
| 17 | 2023 | 5 | |
| 18 | 2013 | 3 | |
| 19 | 2024 | 2 | |
| 20 | Application Study on Technology of CO_2-Supercritical Fluid in Chrome Tanning | 2002 | 2 |
About Long Liao
Long Liao is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Surgery and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 538 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Nanoplatforms for cancer theranostics (4 papers), Photodynamic Therapy Research Studies (3 papers), Neonatal Health and Biochemistry (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Arsenic contamination and mitigation (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Biomaterials (124 citations), Biochemistry (35 citations), Biomedical Engineering (172 citations), Molecular Biology (235 citations) and Biotechnology (29 citations). Long Liao has collaborated with scholars based in Japan, China and Czechia. Frequent co-authors include Jun Fang, Hiroshi Maeda, Hongzhuan Yin, Hideaki Nakamura, Kenji Tsukigawa, Qi Su, Karel Ulbrich, Vladimír Šubr, Haibo Qin and Khaled Greish. Their work appears in journals such as Journal of Controlled Release, Journal of environmental chemical engineering, Journal of Pharmaceutical Sciences, Carcinogenesis and Journal of Orthopaedic Surgery and Research.
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.