Te‐Ling Lu

1.8k total citations
93 papers, 1.4k citations indexed

About

Te‐Ling Lu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Te‐Ling Lu has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 26 papers in Pulmonary and Respiratory Medicine and 16 papers in Cancer Research. Recurrent topics in Te‐Ling Lu's work include Prostate Cancer Treatment and Research (21 papers), Cancer-related molecular mechanisms research (8 papers) and Ion channel regulation and function (6 papers). Te‐Ling Lu is often cited by papers focused on Prostate Cancer Treatment and Research (21 papers), Cancer-related molecular mechanisms research (8 papers) and Ion channel regulation and function (6 papers). Te‐Ling Lu collaborates with scholars based in Taiwan, China and United States. Te‐Ling Lu's co-authors include Bo‐Ying Bao, Shu‐Pin Huang, Te‐Jung Lu, Jian‐Lian Chen, Ta-Yuan Chang, Chao‐Yuan Huang, Hong‐Zin Lee, Chia‐Cheng Yu, Lumin Chen and Chi‐Jeng Hsieh and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Te‐Ling Lu

87 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Te‐Ling Lu Taiwan 22 683 287 248 145 114 93 1.4k
Teresa Moliné Spain 19 1.1k 1.6× 202 0.7× 334 1.3× 236 1.6× 61 0.5× 38 1.9k
Kai Zhao China 23 748 1.1× 147 0.5× 360 1.5× 220 1.5× 51 0.4× 107 1.6k
Eugenia Cifuentes-Pagano United States 28 1.2k 1.7× 231 0.8× 174 0.7× 114 0.8× 140 1.2× 42 2.9k
Fang Wu China 23 1.0k 1.5× 350 1.2× 429 1.7× 95 0.7× 36 0.3× 80 1.9k
Qi‐Zhu Tang China 24 936 1.4× 285 1.0× 276 1.1× 290 2.0× 47 0.4× 47 1.9k
Thomas Büch Germany 18 661 1.0× 130 0.5× 132 0.5× 152 1.0× 73 0.6× 31 1.4k
Andrew P. Wojtovich United States 29 1.7k 2.5× 158 0.6× 180 0.7× 86 0.6× 79 0.7× 58 2.5k
Hong Xin China 25 829 1.2× 126 0.4× 205 0.8× 204 1.4× 45 0.4× 54 1.6k
Xiaodan Zhang China 23 1.0k 1.5× 166 0.6× 479 1.9× 152 1.0× 54 0.5× 129 1.8k
Domenico D’Arca Italy 16 838 1.2× 97 0.3× 168 0.7× 303 2.1× 74 0.6× 38 1.6k

Countries citing papers authored by Te‐Ling Lu

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Ling Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Ling 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 Te‐Ling Lu. The network helps show where Te‐Ling Lu may publish in the future.

Co-authorship network of co-authors of Te‐Ling Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Te‐Ling Lu. A scholar is included among the top collaborators of Te‐Ling 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 Te‐Ling Lu. Te‐Ling Lu 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
1.
Chen, Yei‐Tsung, Chao‐Yuan Huang, Hsueh-Wen Chang, et al.. (2025). Angiogenic Edge of ANGPT2: Genetic Variants Shape Prostate Cancer Prognosis on Androgen Deprivation Therapy. Cancer Genomics & Proteomics. 22(6). 991–1005.
2.
Chen, Junyan, Shu‐Pin Huang, Chao‐Yuan Huang, et al.. (2024). Integrated analysis identifies GABRB3 as a biomarker in prostate cancer. BMC Medical Genomics. 17(1). 41–41. 1 indexed citations
3.
Huang, Hui‐Chi, Jui‐Ming Liu, Guanlin Chen, et al.. (2024). Inhibition of Autophagy Aggravates Arachis hypogaea L. Skin Extracts-Induced Apoptosis in Cancer Cells. International Journal of Molecular Sciences. 25(2). 1345–1345. 8 indexed citations
4.
Bao, Bo‐Ying, Yu‐Mei Hsueh, Peiling Chen, et al.. (2024). Prognostic Significance of VAV3 Gene Variants and Expression in Renal Cell Carcinoma. Biomedicines. 12(8). 1694–1694.
5.
6.
Lin, Wen‐Hsin, et al.. (2023). Conjugated hypercrosslinked polymers imprinted with 3,5-dinitrosalicylic acid for the fluorescent determination of α-amylase activity. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 291. 122383–122383. 10 indexed citations
7.
Lu, Te‐Ling, et al.. (2021). Imprinted β-ketoenamine-linked covalent organic frameworks as dispersive sorbents for the fluorometric determination of timolol. Microchimica Acta. 188(3). 79–79. 8 indexed citations
8.
Yu, Chia‐Cheng, Lih‐Chyang Chen, Wen‐Hsin Lin, et al.. (2020). Genetic Association Analysis of Cell Cycle Regulators Reveals YWHAZ Has Prognostic Significance in Prostate Cancer. Cancer Genomics & Proteomics. 17(2). 209–216. 6 indexed citations
9.
10.
Lu, Te‐Ling, et al.. (2018). Capacitively Coupled Plasma Discharge of Ionic Liquid Solutions to Synthesize Carbon Dots as Fluorescent Sensors. Nanomaterials. 8(6). 372–372. 14 indexed citations
11.
12.
Huang, Shu‐Pin, Chao‐Yuan Huang, Chia‐Cheng Yu, et al.. (2017). Cancer Stem Cell Gene Variants Predict Disease Recurrence in Patients Treated with Radical Prostatectomy for Prostate Cancer. International Journal of Medical Sciences. 14(12). 1301–1306. 11 indexed citations
13.
Lu, Te‐Ling, Hong‐Zin Lee, Yung‐Chin Lee, et al.. (2016). Prognostic Value of Prostaglandin-endoperoxide Synthase 2 Polymorphisms in Prostate Cancer Recurrence after Radical Prostatectomy. International Journal of Medical Sciences. 13(9). 696–700. 5 indexed citations
14.
Wang, Qinchuan, et al.. (2013). Intercalated disc protein, mXinα, suppresses p120-catenin-induced branching phenotype via its interactions with p120-catenin and cortactin. Archives of Biochemistry and Biophysics. 535(1). 91–100. 12 indexed citations
15.
Bao, Bo‐Ying, Chun‐Nung Huang, Yeong‐Shiau Pu, et al.. (2011). Significant associations of prostate cancer susceptibility variants with survival in patients treated with androgen‐deprivation therapy. International Journal of Cancer. 130(4). 876–884. 22 indexed citations
16.
Huang, Chun‐Nung, Shu‐Pin Huang, Tzyh‐Chyuan Hour, et al.. (2011). Vitamin D receptor gene variants and clinical outcomes after androgen-deprivation therapy for prostate cancer. World Journal of Urology. 31(2). 281–287. 11 indexed citations
17.
Bao, Bo‐Ying, Chun‐Nung Huang, Yeong‐Shiau Pu, et al.. (2010). Polymorphisms inside MicroRNAs and MicroRNA Target Sites Predict Clinical Outcomes in Prostate Cancer Patients Receiving Androgen-Deprivation Therapy. Clinical Cancer Research. 17(4). 928–936. 64 indexed citations
18.
Bao, Bo‐Ying, Shu‐Hung Huang, Ta-Yuan Chang, et al.. (2010). Clinical Significance of Tumor Necrosis Factor Receptor Superfamily Member 11b Polymorphism in Prostate Cancer. Annals of Surgical Oncology. 17(6). 1675–1681. 8 indexed citations
19.
Huang, Guan‐Jhong, Hsien‐Jung Chen, Yuan‐Shiun Chang, Te‐Ling Lu, & Yaw‐Huei Lin. (2008). Sweet Potato Storage Root Thioredoxin h2 with Both Dehydroascorbate Reductase and Monodehydroascorbate Reductase Activities. Botanical studies. 49(1). 1–7. 8 indexed citations
20.
Lu, Te‐Jung, Chi‐Ying F. Huang, Jau‐Song Yu, et al.. (2006). Inhibition of Cell Migration by Autophosphorylated Mammalian Sterile 20-Like Kinase 3 (MST3) Involves Paxillin and Protein-tyrosine Phosphatase-PEST. Journal of Biological Chemistry. 281(50). 38405–38417. 69 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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