Li‐Chun Lu

1.6k total citations
60 papers, 1.2k citations indexed

About

Li‐Chun Lu is a scholar working on Oncology, Hepatology and Molecular Biology. According to data from OpenAlex, Li‐Chun Lu has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 20 papers in Hepatology and 14 papers in Molecular Biology. Recurrent topics in Li‐Chun Lu's work include Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Li‐Chun Lu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Li‐Chun Lu collaborates with scholars based in Taiwan, China and United States. Li‐Chun Lu's co-authors include Ann‐Lii Cheng, Chih‐Hung Hsu, Yu‐Yun Shao, Chiun Hsu, Chun‐Jung Chang, Tsung‐Hao Liu, M. Conley Wake, Ronnie T.P. Poon, Antonios G. Mikos and Ying‐Chun Shen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Li‐Chun Lu

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Chun Lu Taiwan 22 419 419 262 234 204 60 1.2k
Spyros Rizos Greece 14 289 0.7× 532 1.3× 394 1.5× 195 0.8× 171 0.8× 26 1.2k
Michail Doukas Netherlands 18 784 1.9× 278 0.7× 279 1.1× 521 2.2× 344 1.7× 108 1.6k
Qiang Qu China 22 422 1.0× 338 0.8× 498 1.9× 407 1.7× 244 1.2× 53 1.5k
Lin Zhong China 15 341 0.8× 254 0.6× 235 0.9× 74 0.3× 217 1.1× 59 1.0k
N.S. Gudmann Denmark 18 174 0.4× 217 0.5× 295 1.1× 144 0.6× 118 0.6× 37 1.1k
Shintaro Kuroda Japan 19 337 0.8× 530 1.3× 114 0.4× 371 1.6× 187 0.9× 112 1.1k
Noriko Sakaida Japan 17 455 1.1× 229 0.5× 470 1.8× 333 1.4× 256 1.3× 45 1.2k
Hironori Kusano Japan 15 247 0.6× 228 0.5× 171 0.7× 184 0.8× 164 0.8× 67 721
Shiu-Feng Huang Taiwan 20 339 0.8× 147 0.4× 241 0.9× 431 1.8× 292 1.4× 42 1.1k

Countries citing papers authored by Li‐Chun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Chun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chun Lu. A scholar is included among the top collaborators of Li‐Chun 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 Li‐Chun Lu. Li‐Chun 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.
Lu, Li‐Chun, Hao Zhuang, Yingluo Liu, et al.. (2025). PolyIC as an adjuvant outperforms anti-VEGF in combination with anti-PD-L1 therapy in mouse liver tumor models. Hepatology Communications. 9(9).
2.
Cheng, Chih‐Hsiu, et al.. (2025). Intradiscal Pressure Distributions in Degenerated Intervertebral Discs: A Biomechanical Investigation. Journal of Medical and Biological Engineering. 45(1). 55–62.
3.
Yang, Shih‐Hung, Hsiang‐Fong Kao, Li‐Chun Lu, et al.. (2025). Improved survival with adding-on strategy after failure of nanoliposomal irinotecan plus 5-fluorouracil and leucovorin in metastatic pancreatic adenocarcinoma. Journal of the Formosan Medical Association. 125(2). 207–214.
4.
Tilton, Maryam, Megan Weivoda, Anne Gingery, et al.. (2024). Stiffening symphony of aging: Biophysical changes in senescent osteocytes. Aging Cell. 23(12). e14421–e14421. 4 indexed citations
5.
Liu, Tsung‐Hao, San‐Chi Chen, Kun‐Ming Rau, et al.. (2024). Outcomes of Post-Immunotherapy Durable Responders of Advanced Hepatocellular Carcinoma– with Emphasis on Locoregional Therapy for Oligoprogression. Liver Cancer. 13(5). 509–521. 7 indexed citations
6.
Scheiter, Alexander, et al.. (2023). Complex Roles of PTPN11/SHP2 in Carcinogenesis and Prospect of Targeting SHP2 in Cancer Therapy. PubMed. 8(1). 15–33. 1 indexed citations
7.
Bing, Xin, et al.. (2023). Shp2 Deficiency in Kupffer Cells and Hepatocytes Aggravates Hepatocarcinogenesis by Recruiting Non-Kupffer Macrophages. Cellular and Molecular Gastroenterology and Hepatology. 15(6). 1351–1369. 7 indexed citations
8.
Feng, Yin‐Hsun, Chia‐Jui Yen, San‐Chi Chen, et al.. (2022). Prognosis and treatment pattern of advanced hepatocellular carcinoma after failure of first-line atezolizumab and bevacizumab treatment. Hepatology International. 16(5). 1199–1207. 27 indexed citations
9.
Lu, Li‐Chun, Yi‐Hsuan Lee, L. Mitchell, et al.. (2022). ICOS-Positive Regulatory T Cells in Hepatocellular Carcinoma: The Perspective from Digital Pathology Analysis. Oncology. 100(8). 419–428. 2 indexed citations
10.
Yang, Shih‐Hung, Li‐Chun Lu, Hsiang‐Fong Kao, et al.. (2021). Negative prognostic implications of splenomegaly in nivolumab-treated advanced or recurrent pancreatic adenocarcinoma. OncoImmunology. 10(1). 1973710–1973710. 6 indexed citations
11.
Su, Yung‐Yeh, Chin‐Fu Hsiao, Da‐Liang Ou, et al.. (2021). P-124 Nivolumab plus ipilimumab as neoadjuvant therapy for potentially resectable hepatocellular carcinoma. Annals of Oncology. 32. S141–S141. 10 indexed citations
12.
13.
Shao, Yu‐Yun, Tsung‐Hao Liu, Chiun Hsu, et al.. (2019). Early alpha‐foetoprotein response associated with treatment efficacy of immune checkpoint inhibitors for advanced hepatocellular carcinoma. Liver International. 39(11). 2184–2189. 76 indexed citations
14.
Lu, Li‐Chun, Chun‐Jung Chang, & Chih‐Hung Hsu. (2019). <p>Targeting myeloid-derived suppressor cells in the treatment of hepatocellular carcinoma: current state and future perspectives</p>. Journal of Hepatocellular Carcinoma. Volume 6. 71–84. 53 indexed citations
15.
Dragomir‐Daescu, Dan, James T. Bronk, Mark E. Bolander, et al.. (2017). Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis. Journal of Visualized Experiments. 9 indexed citations
16.
Giambini, Hugo, Zhong Fang, Heng Zeng, et al.. (2016). Noninvasive Failure Load Prediction of Vertebrae with Simulated Lytic Defects and Biomaterial Augmentation. Tissue Engineering Part C Methods. 22(8). 717–724. 12 indexed citations
17.
Feng, Wen-Chi, et al.. (2016). Inhibition of the Wnt/β-catenin signaling pathway improves the anti-tumor effects of sorafenib against hepatocellular carcinoma. Cancer Letters. 381(1). 58–66. 45 indexed citations
18.
Lu, Li‐Chun, Yu‐Yun Shao, Yi‐Hsuan Lee, et al.. (2014). β-Catenin<b><i> (CTNNB1)</i></b> Mutations Are Not Associated with Prognosis in Advanced Hepatocellular Carcinoma. Oncology. 87(3). 159–166. 39 indexed citations
19.
Lu, Li‐Chun, Yu‐Yun Shao, Zhong‐Zhe Lin, et al.. (2012). Hospital volume of percutaneous radiofrequency ablation is closely associated with treatment outcomes for patients with hepatocellular carcinoma. Cancer. 119(6). 1210–1216. 17 indexed citations
20.
Shen, Zhong‐Ying, et al.. (2002). Detection of human papillomavirus in esophageal carcinoma. Journal of Medical Virology. 68(3). 412–416. 53 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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