Jia-Bin Lu

792 total citations
10 papers, 610 citations indexed

About

Jia-Bin Lu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jia-Bin Lu has authored 10 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jia-Bin Lu's work include Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Multiple and Secondary Primary Cancers (1 paper). Jia-Bin Lu is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Multiple and Secondary Primary Cancers (1 paper). Jia-Bin Lu collaborates with scholars based in China. Jia-Bin Lu's co-authors include Li Zhang, Rong-Zhen Luo, Mu-Yan Cai, Jie-Wei Chen, Jie‐Hua He, Qiu-Liang Wu, Yun Cao, Fei Xu, Roujun Peng and Shu-Sen Wang and has published in prestigious journals such as PLoS ONE, Cell Death and Disease and Oncotarget.

In The Last Decade

Jia-Bin Lu

10 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia-Bin Lu China 9 371 222 163 122 98 10 610
Rikke Løvendahl Eefsen Denmark 11 375 1.0× 158 0.7× 165 1.0× 136 1.1× 38 0.4× 32 624
Gemma Domínguez Spain 6 357 1.0× 274 1.2× 170 1.0× 137 1.1× 55 0.6× 7 552
Suxia Lin China 10 301 0.8× 202 0.9× 243 1.5× 126 1.0× 101 1.0× 18 616
Harm Westdorp Netherlands 14 439 1.2× 175 0.8× 255 1.6× 112 0.9× 85 0.9× 43 696
Charles Schweizer United States 13 332 0.9× 146 0.7× 157 1.0× 57 0.5× 84 0.9× 24 703
Hoiseon Jeong South Korea 11 295 0.8× 192 0.9× 115 0.7× 153 1.3× 98 1.0× 24 552
George Koutsodontis Greece 12 402 1.1× 356 1.6× 70 0.4× 201 1.6× 47 0.5× 20 674
Vincenza Carafa Switzerland 12 379 1.0× 397 1.8× 147 0.9× 180 1.5× 60 0.6× 15 801
Inge Lodewijckx Belgium 5 425 1.1× 273 1.2× 291 1.8× 119 1.0× 53 0.5× 7 738
Hanne Vos Belgium 4 338 0.9× 261 1.2× 359 2.2× 107 0.9× 28 0.3× 12 687

Countries citing papers authored by Jia-Bin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Bin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia-Bin Lu

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

All Works

10 of 10 papers shown
1.
He, Wenzhuo, Fang Wang, Lin Yang, et al.. (2019). Comparison of Mismatch Repair Status Between Primary and Matched Metastatic Sites in Patients With Colorectal Cancer. Journal of the National Comprehensive Cancer Network. 17(10). 1174–1183. 33 indexed citations
2.
Lu, Jia-Bin, et al.. (2018). RIT1 suppresses esophageal squamous cell carcinoma growth and metastasis and predicts good prognosis. Cell Death and Disease. 9(11). 1085–1085. 14 indexed citations
3.
Lu, Jia-Bin, et al.. (2018). Altered epidermal fatty acid-binding protein expression in hepatocellular carcinoma predicts unfavorable outcomes. Cancer Management and Research. Volume 10. 6275–6284. 11 indexed citations
5.
Huang, Pei‐Yu, Shan-Shan Guo, Jia-Bin Lu, et al.. (2016). Tumor CTLA-4 overexpression predicts poor survival in patients with nasopharyngeal carcinoma. Oncotarget. 7(11). 13060–13068. 79 indexed citations
6.
Qin, Tao, Yin-duo Zeng, Ge Qin, et al.. (2015). High PD-L1 expression was associated with poor prognosis in 870 Chinese patients with breast cancer. Oncotarget. 6(32). 33972–33981. 153 indexed citations
7.
Cai, Mu-Yan, Rong-Zhen Luo, Jie-Wei Chen, et al.. (2012). Overexpression of ZEB2 in Peritumoral Liver Tissue Correlates with Favorable Survival after Curative Resection of Hepatocellular Carcinoma. PLoS ONE. 7(2). e32838–e32838. 34 indexed citations
8.
Li, Mei, et al.. (2012). Clinicopathological investigation of four cases of desmoplastic small round cell tumor. Oncology Letters. 4(3). 423–428. 5 indexed citations
9.
Luo, Rong-Zhen, Jie-Wei Chen, Yun Cao, et al.. (2011). High expression of transcriptional coactivator p300 correlates with aggressive features and poor prognosis of hepatocellular carcinoma. Journal of Translational Medicine. 9(1). 5–5. 93 indexed citations
10.
Cai, Qi-Chun, Su-Xia Lin, Yi Xia, et al.. (2011). High expression of tumor-infiltrating macrophages correlates with poor prognosis in patients with diffuse large B-cell lymphoma. Medical Oncology. 29(4). 2317–2322. 71 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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