Yue Lu

1.5k total citations
51 papers, 1.2k citations indexed

About

Yue Lu is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Yue Lu has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 28 papers in Pathology and Forensic Medicine and 17 papers in Immunology. Recurrent topics in Yue Lu's work include Lymphoma Diagnosis and Treatment (24 papers), Viral-associated cancers and disorders (14 papers) and Immune Cell Function and Interaction (12 papers). Yue Lu is often cited by papers focused on Lymphoma Diagnosis and Treatment (24 papers), Viral-associated cancers and disorders (14 papers) and Immune Cell Function and Interaction (12 papers). Yue Lu collaborates with scholars based in China and United States. Yue Lu's co-authors include Zhong-Jun Xia, Liang Wang, Hua Wang, Hui-Qiang Huang, Qi-rong Geng, Hua Wang, Jing‐Hua Wang, Wen-Qi Jiang, Zhongjun Xia and Weida Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Yue Lu

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Lu China 20 683 436 432 278 178 51 1.2k
Brent Tan United States 10 586 0.9× 780 1.8× 222 0.5× 365 1.3× 106 0.6× 26 1.4k
Cristiana Carniti Italy 21 439 0.6× 314 0.7× 245 0.6× 396 1.4× 392 2.2× 59 1.2k
Martin Kornacker Germany 20 564 0.8× 399 0.9× 317 0.7× 380 1.4× 138 0.8× 59 1.3k
Rosaria De Filippi Italy 19 467 0.7× 386 0.9× 453 1.0× 307 1.1× 102 0.6× 61 1.2k
Yong‐Oon Ahn South Korea 21 676 1.0× 646 1.5× 133 0.3× 336 1.2× 126 0.7× 45 1.4k
Ana Pilar González Spain 17 524 0.8× 491 1.1× 286 0.7× 164 0.6× 109 0.6× 45 1.0k
Teresa Flores Spain 19 492 0.7× 191 0.4× 414 1.0× 539 1.9× 255 1.4× 25 1.3k
Juehua Gao United States 16 253 0.4× 233 0.5× 321 0.7× 339 1.2× 197 1.1× 60 1.1k
Colm Keane Australia 21 778 1.1× 586 1.3× 645 1.5× 294 1.1× 66 0.4× 84 1.4k

Countries citing papers authored by Yue Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yue Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Lu. A scholar is included among the top collaborators of Yue 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 Yue Lu. Yue 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
2.
Wang, Huizhong, Biyun Chen, Ruonan Shao, et al.. (2022). A new prediction model integrated serum lipid profile for patients with multiple myeloma. Journal of Cancer. 13(6). 1796–1807. 12 indexed citations
5.
Wang, Hua, et al.. (2019). <p>NSE from diffuse large B-cell lymphoma cells regulates macrophage polarization</p>. Cancer Management and Research. Volume 11. 4577–4595. 16 indexed citations
7.
Liu, Chengcheng, Hua Wang, Weida Wang, et al.. (2018). ENO2 Promotes Cell Proliferation, Glycolysis, and Glucocorticoid-Resistance in Acute Lymphoblastic Leukemia. Cellular Physiology and Biochemistry. 46(4). 1525–1535. 65 indexed citations
9.
Wang, Hua, et al.. (2016). The Glasgow Prognostic Score (GPS) is a novel prognostic indicator in advanced epithelial ovarian cancer: a multicenter retrospective study. Journal of Cancer Research and Clinical Oncology. 142(11). 2339–2345. 29 indexed citations
10.
Wang, Hua, et al.. (2016). High level of interleukin-10 in serum predicts poor prognosis in multiple myeloma. British Journal of Cancer. 114(4). 463–468. 52 indexed citations
12.
Xia, Zhongjun, Hua Wang, Liang Wang, et al.. (2016). Long-term outcomes of different bortezomib-based regimens in Chinese myeloma patients. OncoTargets and Therapy. 9. 587–587. 8 indexed citations
13.
Wang, Zhao, et al.. (2015). CD56-negative extranodal NK/T cell lymphoma should be regarded as a distinct subtype with poor prognosis. Tumor Biology. 36(10). 7717–7723. 15 indexed citations
14.
Wang, Hua, Pengfei Li, Liang Wang, et al.. (2015). High numbers of CD68+ tumor-associated macrophages correlate with poor prognosis in extranodal NK/T-cell lymphoma, nasal type. Annals of Hematology. 94(9). 1535–1544. 24 indexed citations
15.
Wang, Liang, Zhong-Jun Xia, Yue Lu, & Yu‐Jing Zhang. (2014). Prophylactic cervical lymph node irradiation provides no benefit for patients of stage IE extranodal natural killer/T cell lymphoma, nasal type. Medical Oncology. 32(1). 320–320. 5 indexed citations
19.
Wang, Hua, Qi-rong Geng, Liang Wang, & Yue Lu. (2011). Curcumin potentiates antitumor activity ofl-asparaginase via inhibition of the AKT signaling pathway in acute lymphoblastic leukemia. Leukemia & lymphoma. 53(7). 1376–1382. 23 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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