Liang-Suei Lu

479 total citations
10 papers, 237 citations indexed

About

Liang-Suei Lu is a scholar working on Pharmacology, Molecular Biology and Rheumatology. According to data from OpenAlex, Liang-Suei Lu has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Molecular Biology and 3 papers in Rheumatology. Recurrent topics in Liang-Suei Lu's work include Pharmacogenetics and Drug Metabolism (4 papers), Hormonal Regulation and Hypertension (2 papers) and Adenosine and Purinergic Signaling (1 paper). Liang-Suei Lu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Hormonal Regulation and Hypertension (2 papers) and Adenosine and Purinergic Signaling (1 paper). Liang-Suei Lu collaborates with scholars based in Taiwan, United States and Japan. Liang-Suei Lu's co-authors include Hui-Ping Chuang, Jer‐Yuarn Wu, Yuan-Tsong Chen, Ching‐Heng Chou, Ming Ta Michael Lee, San‐Yuan Kuo, Chia‐Chun Wu, Jen-Huei Chang, Virginia B. Kraus and Chien‐An Liu and has published in prestigious journals such as International Journal of Molecular Sciences, Nano Today and Plant Science.

In The Last Decade

Liang-Suei Lu

10 papers receiving 233 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Liang-Suei Lu Taiwan	6	85	84	71	48	44	10	237
Xiaojian Lin China	7	52 0.6×	119 1.4×	20 0.3×	25 0.5×	25 0.6×	11	294
Renata Canalle Brazil	13	24 0.3×	207 2.5×	45 0.6×	37 0.8×	14 0.3×	22	367
Baoyu Liang China	7	21 0.2×	118 1.4×	32 0.5×	11 0.2×	10 0.2×	10	276
Naoshi Horiba Japan	10	27 0.3×	72 0.9×	22 0.3×	6 0.1×	13 0.3×	20	264
Ganesh Rajaraman Canada	10	16 0.2×	90 1.1×	96 1.4×	8 0.2×	11 0.3×	14	252
Yanfang Zheng China	8	16 0.2×	74 0.9×	23 0.3×	12 0.3×	18 0.4×	19	184
Serenella Frassetto Italy	10	58 0.7×	151 1.8×	35 0.5×	13 0.3×	13 0.3×	10	325
Yufei He China	11	33 0.4×	137 1.6×	103 1.5×	26 0.5×	29 0.7×	25	321
Qinghua Huang China	9	9 0.1×	160 1.9×	36 0.5×	22 0.5×	29 0.7×	18	304
Y. Mizobuchi Japan	4	8 0.1×	108 1.3×	104 1.5×	23 0.5×	30 0.7×	6	410

Countries citing papers authored by Liang-Suei Lu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Liang-Suei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang-Suei Lu. A scholar is included among the top collaborators of Liang-Suei Lu 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 Liang-Suei Lu. Liang-Suei Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Yang, Chi‐Fan, Hui-Ping Chuang, Liang-Suei Lu, et al.. (2024). Role of IL3RA in a Family with Lumbar Spinal Stenosis. International Journal of Molecular Sciences. 25(20). 10915–10915. 1 indexed citations

2.

Chen, Chao‐Long, et al.. (2021). Modifiable factors affecting renal preservation in type I glycogen storage disease after liver transplantation: a single-center propensity-match cohort study. Orphanet Journal of Rare Diseases. 16(1). 423–423. 4 indexed citations

3.

Zu, Yanbing, Min‐Han Tan, Balram Chowbay, et al.. (2014). Nanoprobe-based genetic testing. Nano Today. 9(2). 166–171. 6 indexed citations

4.

Chou, Ching‐Heng, Chia‐Chun Wu, I-Wen Song, et al.. (2013). Genome-wide expression profiles of subchondral bone in osteoarthritis. Arthritis Research & Therapy. 15(6). R190–R190. 96 indexed citations

5.

Gan, Gin Gin, et al.. (2012). Allele and Genotype frequencies of VKORC1 -1639G>A polymorphism in three different ethnic groups in Malaysia. 20(1). 19–23. 3 indexed citations

6.

Lee, Ming Ta Michael, Chien-Hsiun Chen, Hui-Ping Chuang, et al.. (2009). VKORC1 Haplotypes in Five East-Asian Populations and Indians. Pharmacogenomics. 10(10). 1609–1616. 14 indexed citations

7.

Chen, Chien-Hsiun, Ching‐Heng Chou, Liang-Suei Lu, et al.. (2009). Genetic Determinants of Warfarin Dosing in the Han-Chinese Population. Pharmacogenomics. 10(12). 1905–1913. 58 indexed citations

8.

Lu, Liang-Suei, et al.. (2007). Negative feedback regulation of system-1 ethylene production by the tomato 1-aminocyclopropane-1-carboxylate synthase 6 gene promoter. Plant Science. 175(1-2). 149–160. 15 indexed citations

9.

Wen, Ming‐Shien, Jin‐Jer Chen, Hui-Ping Chuang, et al.. (2007). S30-7 PROSPECTIVE STUDY OF WARFARIN DOSAGE REQUIREMENTS BASED ON CYP2C9 AND VKORC1 GENOTYPES. International Journal of Cardiology. 122. S50–S50. 1 indexed citations

10.

Lu, Liang-Suei, et al.. (2005). Over-expression of Arabidopsis thaliana heat shock factor gene (AtHsfA1b) enhances chilling tolerance in transgenic tomato. Zhōngyāng yánjiūyuàn zhíwùxué huikān/Zhōngyāng yánjiūyuàn zhíwùxué huikān. 39 indexed citations

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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