Jin-Song Lu

1.4k total citations
20 papers, 1.1k citations indexed

About

Jin-Song Lu is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Jin-Song Lu has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Jin-Song Lu's work include Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (5 papers) and HER2/EGFR in Cancer Research (4 papers). Jin-Song Lu is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (5 papers) and HER2/EGFR in Cancer Research (4 papers). Jin-Song Lu collaborates with scholars based in China, United Kingdom and India. Jin-Song Lu's co-authors include Jiong Wu, Zhen‐Zhou Shen, Gen‐Hong Di, Kun-Wei Shen, Yi‐Feng Hou, Zhi-Ming Shao, Guang‐Yu Liu, Ke‐Da Yu, Zhou-Luo Ou and Zhi-Min Shao and has published in prestigious journals such as Oncogene, European Journal of Cancer and Annals of Surgical Oncology.

In The Last Decade

Jin-Song Lu

20 papers receiving 1.1k citations

Peers

Jin-Song Lu
Claus Lattrich Germany
Eva Groß Germany
Jacqueline A. Hall United Kingdom
Verena Materna Germany
Letícia Batista Azevedo Rangel Brazil
G M Clark United States
E. von Schoultz Sweden
Silvia J. Serrano‐Gómez Colombia
F A Firgaira Australia
R Silvestrini Italy
Claus Lattrich Germany
Jin-Song Lu
Citations per year, relative to Jin-Song Lu Jin-Song Lu (= 1×) peers Claus Lattrich

Countries citing papers authored by Jin-Song Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Song Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Song 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 Jin-Song Lu. The network helps show where Jin-Song Lu may publish in the future.

Co-authorship network of co-authors of Jin-Song Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Song Lu. A scholar is included among the top collaborators of Jin-Song 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 Jin-Song Lu. Jin-Song 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.
2.
Fei, Fei, Canming Chen, Jingyan Xue, et al.. (2012). Efficacy and Safety of Docetaxel Combined With Oxaliplatin as a Neoadjuvant Chemotherapy Regimen for Chinese Triple-Negative Local Advanced Breast Cancer Patients. American Journal of Clinical Oncology. 36(6). 545–551. 12 indexed citations
3.
Cao, A‐Yong, et al.. (2011). Influence of a family history of breast and/or ovarian cancer on breast cancer outcomes. Experimental and Therapeutic Medicine. 2(5). 917–923. 9 indexed citations
4.
Ling, Hong, Guang‐Yu Liu, Jin-Song Lu, et al.. (2009). Fiberoptic Ductoscopy-Guided Intraductal Biopsy Improve the Diagnosis of Nipple Discharge. The Breast Journal. 15(2). 168–175. 15 indexed citations
5.
Fan, Lei, Ying Zheng, Ke‐Da Yu, et al.. (2009). Breast cancer in a transitional society over 18 years: trends and present status in Shanghai, China. Breast Cancer Research and Treatment. 117(2). 409–416. 151 indexed citations
6.
Zhou, Qin, Guang‐Yu Liu, Gen‐Hong Di, et al.. (2009). Breast cancer in Chinese elderly women: Pathological and clinical characteristics and factors influencing treatment patterns. Critical Reviews in Oncology/Hematology. 71(3). 258–265. 18 indexed citations
7.
Wu, Jiong, Bo Ping, Gen‐Hong Di, et al.. (2009). Basal Cytokeratin Expression in Relation to Immunohistochemical and Clinical Characterization in Breast Cancer Patients with Triple Negative Phenotype. Tumori Journal. 95(1). 53–62. 18 indexed citations
8.
Yin, Wenjin, Jin-Song Lu, Gen‐Hong Di, et al.. (2008). Clinicopathological features of the triple-negative tumors in Chinese breast cancer patients. Breast Cancer Research and Treatment. 115(2). 325–333. 87 indexed citations
9.
Hu, Zhen, Wenfeng Li, Juan Huang, et al.. (2008). Models for predicting BRCA1 and BRCA2 mutations in Han Chinese familial breast and/or ovarian cancer patients. Breast Cancer Research and Treatment. 113(3). 467–477. 9 indexed citations
10.
Jiang, Fan, Wenjin Yin, Jin-Song Lu, et al.. (2008). ERα negative breast cancer cells restore response to endocrine therapy by combination treatment with both HDAC inhibitor and DNMT inhibitor. Journal of Cancer Research and Clinical Oncology. 134(8). 883–890. 106 indexed citations
11.
Yu, Ke‐Da, Gen‐Hong Di, Jiong Wu, et al.. (2008). Breast cancer patients with estrogen receptor-negative/progesterone receptor-positive tumors: being younger and getting less benefit from adjuvant tamoxifen treatment. Journal of Cancer Research and Clinical Oncology. 134(12). 1347–1354. 42 indexed citations
12.
Li, Da‐Qiang, Yi‐Feng Hou, Jiong Wu, et al.. (2007). Identification of the functional role of AF1Q in the progression of breast cancer. Breast Cancer Research and Treatment. 111(1). 65–78. 46 indexed citations
13.
Yu, Ke‐Da, Gen‐Hong Di, Jiong Wu, et al.. (2007). Development and Trends of Surgical Modalities for Breast Cancer in China: A Review of 16-Year Data. Annals of Surgical Oncology. 14(9). 2502–2509. 64 indexed citations
14.
Li, Da‐Qiang, Yi‐Feng Hou, Jiong Wu, et al.. (2007). Identification of the functional role of peroxiredoxin 6 in the progression of breast cancer. Breast Cancer Research. 9(6). R76–R76. 153 indexed citations
15.
Yu, Ke‐Da, Guang‐Yu Liu, Gen‐Hong Di, et al.. (2007). Progesterone receptor status provides predictive value for adjuvant endocrine therapy in older estrogen receptor-positive breast cancer patients. The Breast. 16(3). 307–315. 26 indexed citations
16.
Li, Da‐Qiang, Yi‐Feng Hou, Jiong Wu, et al.. (2006). Gene expression profile analysis of an isogenic tumour metastasis model reveals a functional role for oncogene AF1Q in breast cancer metastasis. European Journal of Cancer. 42(18). 3274–3286. 57 indexed citations
17.
Hou, Yi‐Feng, Jiong Wu, Jin-Song Lu, et al.. (2006). Dominant-negative E-cadherin inhibits the invasiveness of inflammatory breast cancer cells in vitro. Journal of Cancer Research and Clinical Oncology. 133(2). 83–92. 30 indexed citations
18.
Di, Gen‐Hong, Ke‐Da Yu, Jiong Wu, et al.. (2006). Immediate breast reconstruction with latissimus dorsi musculocutaneous flap: A suitable option for chinese women after mastectomy. Chinese Journal of Cancer Research. 18(2). 88–93. 2 indexed citations
19.
Hou, Yi‐Feng, Jiong Wu, Jin-Song Lu, et al.. (2004). ERβ exerts multiple stimulative effects on human breast carcinoma cells. Oncogene. 23(34). 5799–5806. 62 indexed citations
20.
Liu, Yi, Yi‐Feng Hou, Jiong Wu, et al.. (2004). Prognostic value of matrix metalloproteinases (MMP-2 and MMP-9) in patients with lymph node-negative breast carcinoma. Breast Cancer Research and Treatment. 88(1). 75–85. 150 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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