Ya-Ling Wei

599 total citations
19 papers, 448 citations indexed

About

Ya-Ling Wei is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ya-Ling Wei has authored 19 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ya-Ling Wei's work include Lung Cancer Treatments and Mutations (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Peptidase Inhibition and Analysis (3 papers). Ya-Ling Wei is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Peptidase Inhibition and Analysis (3 papers). Ya-Ling Wei collaborates with scholars based in Taiwan, China and United States. Ya-Ling Wei's co-authors include Wei‐Chien Huang, Yun‐Ju Chen, Mien‐Chie Hung, Sheng-Chieh Hsu, Chung‐Hsuan Chen, Chang-Hai Tsai, Wei‐Pang Huang, Chih‐Yen Tu, Wen-Chang Chang and Ying‐Nai Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

In The Last Decade

Ya-Ling Wei

19 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya-Ling Wei Taiwan 11 256 216 101 101 31 19 448
Yi‐Fang Tsai Taiwan 13 219 0.9× 173 0.8× 94 0.9× 123 1.2× 42 1.4× 47 473
Brigida Stanzione Italy 9 163 0.6× 218 1.0× 150 1.5× 132 1.3× 22 0.7× 24 411
Lizhe Zhu China 12 192 0.8× 110 0.5× 119 1.2× 104 1.0× 41 1.3× 37 381
Ramón González Manzano Spain 10 334 1.3× 176 0.8× 82 0.8× 86 0.9× 56 1.8× 21 491
Zijie Cai China 7 286 1.1× 145 0.7× 101 1.0× 194 1.9× 33 1.1× 9 471
Hend Ahmed El-Hadaad Egypt 9 241 0.9× 243 1.1× 105 1.0× 140 1.4× 52 1.7× 25 552
Luise Maute Germany 11 251 1.0× 136 0.6× 130 1.3× 99 1.0× 31 1.0× 18 394
Kazuto Nishio Japan 12 228 0.9× 157 0.7× 67 0.7× 81 0.8× 50 1.6× 25 435
Jae Hong Seo South Korea 12 180 0.7× 161 0.7× 66 0.7× 66 0.7× 25 0.8× 16 392
Laurène Froment Switzerland 9 182 0.7× 179 0.8× 141 1.4× 78 0.8× 38 1.2× 14 407

Countries citing papers authored by Ya-Ling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Ling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Ling Wei. 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 Ya-Ling Wei. The network helps show where Ya-Ling Wei may publish in the future.

Co-authorship network of co-authors of Ya-Ling Wei

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

All Works

19 of 19 papers shown
1.
Wang, Junya, Zhengdong Jiang, Shikun Wen, et al.. (2025). Application of MOF-808 and its derivatives in carbon capture and CO 2 catalytic conversion. Journal of Materials Chemistry A. 13(16). 11185–11209. 5 indexed citations
2.
Yang, Guangyu, Ya-Ling Wei, Shiqi Li, et al.. (2024). Design, synthesis, and bioevaluation of sulfonylamides as acetohydroxyacid synthase inhibitors. Journal of Molecular Structure. 1326. 141075–141075. 2 indexed citations
3.
Cheng, Fang‐Ju, Yeh Chen, Ya-Ling Wei, et al.. (2023). Umbelliferone and eriodictyol suppress the cellular entry of SARS-CoV-2. Cell & Bioscience. 13(1). 118–118. 10 indexed citations
4.
5.
Li, Dong, et al.. (2022). STUDY ON THE CALCULATION AND APPLICATION OF THE UNIT ISOSTERIC ADSORPTION ENTHALPY. 9(11). 453–458. 2 indexed citations
6.
Wang, Junya, Pengfei Wu, Ya-Ling Wei, et al.. (2022). Study of calcium-based CO2 sorbent with high cycling stability derived from steel slag and its anti-sintering mechanism. Journal of CO2 Utilization. 66. 102279–102279. 11 indexed citations
7.
Yeh, Ming-Hsin, Hsiao‐Fan Chen, Tsu‐Shing Wang, et al.. (2021). ERα determines the chemo-resistant function of mutant p53 involving the switch between lincRNA-p21 and DDB2 expressions. Molecular Therapy — Nucleic Acids. 25. 536–553. 17 indexed citations
8.
Chen, Chia‐Hung, Chun-Yi Wu, Fang‐Ju Cheng, et al.. (2021). PKCδ-mediated SGLT1 upregulation confers the acquired resistance of NSCLC to EGFR TKIs. Oncogene. 40(29). 4796–4808. 13 indexed citations
9.
Wang, Bowei, Chih‐Hao Huang, Liang‐Chih Liu, et al.. (2021). Pim1 Kinase Inhibitors Exert Anti-Cancer Activity Against HER2-Positive Breast Cancer Cells Through Downregulation of HER2. Frontiers in Pharmacology. 12. 614673–614673. 10 indexed citations
10.
11.
Wu, Xiangyang, et al.. (2018). In Vitro Study on the Dynamics of Blood Flow Impelled by an Alternating Current Magnetohydrodynamic Blood Pump. Artificial Organs. 42(11). E349–E356. 2 indexed citations
12.
Tu, Chih‐Yen, Bowei Wang, Fang‐Ju Cheng, et al.. (2018). Incense burning smoke sensitizes lung cancer cells to EGFR TKI by inducing AREG expression.. PubMed. 8(12). 2575–2589. 6 indexed citations
13.
Yan, Lijun, Jie Hua, Ya-Ling Wei, et al.. (2017). Clinical value of endoscopic ultrasonography guided endoscopic submucosal dissection for diagnosis and treatment of rectal neuroendocrine neoplasms. Zhonghua xiaohua neijing zazhi. 34(6). 405–409. 1 indexed citations
14.
Bai, Jian’an, Ya-Ling Wei, Ye Tian, et al.. (2016). A retrospective study of NENs and miR-224 promotes apoptosis of BON-1 cells by targeting PCSK9 inhibition. Oncotarget. 8(4). 6929–6939. 35 indexed citations
15.
Tu, Chih‐Yen, Chia‐Hung Chen, Te‐Chun Hsia, et al.. (2014). Trichostatin A Suppresses EGFR Expression through Induction of MicroRNA-7 in an HDAC-Independent Manner in Lapatinib-Treated Cells. BioMed Research International. 2014. 1–11. 18 indexed citations
16.
Hsia, Te‐Chun, Chih‐Yen Tu, Yun‐Ju Chen, et al.. (2013). Lapatinib-Mediated Cyclooxygenase-2 Expression via Epidermal Growth Factor Receptor/HuR Interaction Enhances the Aggressiveness of Triple-Negative Breast Cancer Cells. Molecular Pharmacology. 83(4). 857–869. 34 indexed citations
17.
Chen, Yun‐Ju, Ming‐Hsin Yeh, Ya-Ling Wei, et al.. (2013). Lapatinib–induced NF-kappaB activation sensitizes triple-negative breast cancer cells to proteasome inhibitors. Breast Cancer Research. 15(6). R108–R108. 61 indexed citations
18.
Huang, Wei‐Chien, Yun‐Ju Chen, Long‐Yuan Li, et al.. (2011). Nuclear Translocation of Epidermal Growth Factor Receptor by Akt-dependent Phosphorylation Enhances Breast Cancer-resistant Protein Expression in Gefitinib-resistant Cells. Journal of Biological Chemistry. 286(23). 20558–20568. 144 indexed citations
19.
Chen, Yun‐Ju, Wei‐Chien Huang, Ya-Ling Wei, et al.. (2011). Elevated BCRP/ABCG2 Expression Confers Acquired Resistance to Gefitinib in Wild-Type EGFR-Expressing Cells. PLoS ONE. 6(6). e21428–e21428. 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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