Yen‐Shen Lu

12.6k total citations · 3 hit papers
238 papers, 6.5k citations indexed

About

Yen‐Shen Lu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Yen‐Shen Lu has authored 238 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Oncology, 115 papers in Pulmonary and Respiratory Medicine and 62 papers in Cancer Research. Recurrent topics in Yen‐Shen Lu's work include Advanced Breast Cancer Therapies (80 papers), Cancer Treatment and Pharmacology (58 papers) and HER2/EGFR in Cancer Research (48 papers). Yen‐Shen Lu is often cited by papers focused on Advanced Breast Cancer Therapies (80 papers), Cancer Treatment and Pharmacology (58 papers) and HER2/EGFR in Cancer Research (48 papers). Yen‐Shen Lu collaborates with scholars based in Taiwan, United States and South Korea. Yen‐Shen Lu's co-authors include Ann‐Lii Cheng, Ching‐Hung Lin, Chiun‐Sheng Huang, Fabrice André, Kenichi Inoue, Gábor Rubovszky, Hope S. Rugo, Zsuzsanna Pápai, Toshinari Yamashita and Bella Kaufman and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Yen‐Shen Lu

222 papers receiving 6.4k citations

Hit Papers

Alpelisib for PIK3CA -Mutated, Hormone Receptor–Positive ... 2019 2026 2021 2023 2019 2019 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yen‐Shen Lu Taiwan 36 3.3k 2.6k 2.3k 2.1k 754 238 6.5k
Martin Filipits Austria 48 4.3k 1.3× 3.1k 1.2× 2.9k 1.3× 2.7k 1.3× 587 0.8× 200 8.0k
Daniele Generali Italy 42 3.1k 0.9× 1.7k 0.6× 2.5k 1.1× 2.1k 1.0× 404 0.5× 232 6.2k
Jennifer J. Wheler United States 42 2.6k 0.8× 1.8k 0.7× 3.2k 1.4× 2.1k 1.0× 446 0.6× 199 6.7k
Dick J. Richel Netherlands 43 4.5k 1.4× 1.7k 0.6× 3.5k 1.5× 2.2k 1.0× 462 0.6× 107 9.6k
Lianchun Xiao United States 49 3.0k 0.9× 2.6k 1.0× 2.8k 1.2× 1.8k 0.9× 334 0.4× 214 7.9k
Miguel A. Villalona‐Calero United States 43 3.2k 1.0× 2.1k 0.8× 2.7k 1.2× 1.1k 0.5× 359 0.5× 187 6.4k
Gideon M. Blumenthal United States 47 4.0k 1.2× 2.6k 1.0× 2.4k 1.1× 1.3k 0.6× 433 0.6× 119 7.5k
Bijoyesh Mookerjee United States 30 3.7k 1.1× 2.2k 0.9× 4.1k 1.8× 2.3k 1.1× 533 0.7× 85 7.4k
Barbara A. Conley United States 39 2.7k 0.8× 1.5k 0.6× 2.3k 1.0× 1.3k 0.6× 319 0.4× 143 6.0k
Violeta Serra Spain 36 3.1k 0.9× 1.6k 0.6× 4.2k 1.8× 1.0k 0.5× 742 1.0× 92 7.5k

Countries citing papers authored by Yen‐Shen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Shen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen‐Shen Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Shen Lu. A scholar is included among the top collaborators of Yen‐Shen 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 Yen‐Shen Lu. Yen‐Shen 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.
Cheng, Chun‐Wen, Yu‐Fan Liu, Wen‐Ling Liao, et al.. (2024). miR-622 Increases miR-30a Expression through Inhibition of Hypoxia-Inducible Factor 1α to Improve Metastasis and Chemoresistance in Human Invasive Breast Cancer Cells. Cancers. 16(3). 657–657. 3 indexed citations
3.
Im, Seock‐Ah, Shoei‐Shen Wang, Yen‐Shen Lu, et al.. (2024). PS3-1 Dato-DXd vs. chemotherapy for patients with inoperable/metastatic HR+/HER2− breast cancer: TROPION-Breast01 Asian subset. Annals of Oncology. 35. S1314–S1314.
4.
Lin, Zhong‐Zhe, Mickey C.‐T. Hu, Chiun Hsu, et al.. (2023). Synergistic efficacy of telomerase-specific oncolytic adenoviral therapy and histone deacetylase inhibition in human hepatocellular carcinoma. Cancer Letters. 556. 216063–216063. 7 indexed citations
5.
Huang, Meng‐Chuan, I‐Chun Chen, Tsu‐Nai Wang, et al.. (2023). Lifestyle Factors and Energy Intakes with Risks of Breast Cancer among Pre- and Post- Menopausal Women in Taiwan. Nutrients. 15(18). 3900–3900. 3 indexed citations
9.
Lien, Huang‐Chun, Chia‐Lang Hsu, Yen‐Shen Lu, et al.. (2023). Transcriptomic alterations underlying metaplasia into specific metaplastic components in metaplastic breast carcinoma. Breast Cancer Research. 25(1). 11–11. 6 indexed citations
10.
Ma, Weili, Dwan‐Ying Chang, Ching‐Hung Lin, et al.. (2022). Clinical Outcomes of Metastatic Breast Cancer in Patients Having Imaging Liver Pseudocirrhosis with or without Evident Varices. The Oncologist. 27(12). 1008–1015. 2 indexed citations
11.
Lin, Ching‐Hung, Muhammad Zahid, Wen‐Hung Kuo, et al.. (2022). Estrogen-DNA Adducts and Breast Cancer Risk in Premenopausal Asian Women. Cancer Prevention Research. 16(3). 153–161. 2 indexed citations
12.
Lin, Ching‐Hung, Ruby Yun‐Ju Huang, Tzu‐Pin Lu, et al.. (2021). High prevalence of APOA1/C3/A4/A5 alterations in luminal breast cancers among young women in East Asia. npj Breast Cancer. 7(1). 88–88. 12 indexed citations
13.
André, Fabrice, Eva Ciruelos, Gábor Rubovszky, et al.. (2019). Alpelisib for PIK3CA -Mutated, Hormone Receptor–Positive Advanced Breast Cancer. New England Journal of Medicine. 380(20). 1929–1940. 1565 indexed citations breakdown →
14.
Iwata, Hiroji, Norikazu Masuda, Sung‐Bae Kim, et al.. (2019). Neratinib After Trastuzumab-Based Adjuvant Therapy in Patients from Asia with Early Stage HER2-Positive Breast Cancer. Future Oncology. 15(21). 2489–2501. 7 indexed citations
15.
Lu, Yen‐Shen, Tom Wei‐Wu Chen, Ching‐Hung Lin, et al.. (2015). Bevacizumab Preconditioning Followed by Etoposide and Cisplatin Is Highly Effective in Treating Brain Metastases of Breast Cancer Progressing from Whole-Brain Radiotherapy. Clinical Cancer Research. 21(8). 1851–1858. 71 indexed citations
16.
Tripathy, Debu, Aditya Bardia, Sara A. Hurvitz, et al.. (2015). Phase III, randomized, double-blind, placebo-controlled study of ribociclib (LEE011) in combination with either tamoxifen and goserelin or a non-steroidal aromatase inhibitor (NSAI) and goserelin for the treatment of premenopausal women with HR+, HER2- advanced breast cancer (aBC): MONALEESA-7.. Journal of Clinical Oncology. 33. 6 indexed citations
17.
Kuo, Sung‐Hsin, Shi‐Yi Yang, Huang‐Chun Lien, et al.. (2013). CYP19Genetic Polymorphism HaplotypeAASAIs Associated with a Poor Prognosis in Premenopausal Women with Lymph Node-Negative, Hormone Receptor-Positive Breast Cancer. BioMed Research International. 2013. 1–9. 7 indexed citations
18.
Lin, Po‐Han, et al.. (2011). Cisplatin as an active treatment in zoledronate-refractory hypercalcemia. Annals of Oncology. 22(5). 1244–1246. 1 indexed citations
19.

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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