Liang-Suei Lu
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Inflammatory mediators and NSAID effects
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
Papers in
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- Pharmacogenetics and Drug Metabolism 4
-
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Jer‐Yuarn Wu (4 shared papers)Yuan-Tsong Chen (4 shared papers)Hui-Ping Chuang (5 shared papers)Ching‐Heng Chou (3 shared papers)Ming Ta Michael Lee (2 shared papers)Chia‐Chun Wu (1 shared paper)Virginia B. Kraus (1 shared paper)Chien‐An Liu (1 shared paper)
- Journals
- Pharmacogenomics (2 papers)Orphanet Journal of Rare Diseases (1 paper)International Journal of Cardiology (1 paper)International Journal of Molecular Sciences (1 paper)Arthritis Research & Therapy (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Liang-Suei Lu
10 papers receiving 233 citations
Peers
Comparison fields: 5 of 52
- Pharmacology 71
- Rheumatology 85
- Biochemistry 28
- Pharmacology 44
- Endocrinology, Diabetes and Metabolism 42
Countries citing papers authored by Liang-Suei Lu
This map shows the geographic impact of Liang-Suei Lu'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 Liang-Suei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Suei Lu more than expected).
Fields of papers citing papers by Liang-Suei Lu
This network shows the impact of papers produced by Liang-Suei Lu. 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 Liang-Suei Lu. The network helps show where Liang-Suei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang-Suei Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 96 | |
| 2 | 2009 | 58 | |
| 3 | Over-expression of Arabidopsis thaliana heat shock factor gene (AtHsfA1b) enhances chilling tolerance in transgenic tomato | 2005 | 39 |
| 4 | 2007 | 15 | |
| 5 | 2009 | 14 | |
| 6 | 2014 | 6 | |
| 7 | 2021 | 4 | |
| 8 | Allele and Genotype frequencies of VKORC1 -1639G>A polymorphism in three different ethnic groups in Malaysia | 2012 | 3 |
| 9 | 2024 | 1 | |
| 10 | 2007 | 1 |
About Liang-Suei Lu
Liang-Suei Lu is a scholar working on Pharmacology, Molecular Biology, Rheumatology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 10 papers that have together received 237 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Hormonal Regulation and Hypertension (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Plant Molecular Biology Research (1 paper), Knee injuries and reconstruction techniques (1 paper), Computational Drug Discovery Methods (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Pharmacology (71 citations), Rheumatology (85 citations), Biochemistry (28 citations), Pharmacology (44 citations) and Endocrinology, Diabetes and Metabolism (42 citations). Liang-Suei Lu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jer‐Yuarn Wu, Yuan-Tsong Chen, Hui-Ping Chuang, Ching‐Heng Chou, Ming Ta Michael Lee, Chia‐Chun Wu, Virginia B. Kraus, Chien‐An Liu, I-Wen Song and San‐Yuan Kuo. Their work appears in journals such as Pharmacogenomics, Orphanet Journal of Rare Diseases, International Journal of Cardiology, International Journal of Molecular Sciences and Arthritis Research & Therapy.
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.