Tingxun Lu

504 total citations
22 papers, 365 citations indexed

About

Tingxun Lu is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Tingxun Lu has authored 22 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Tingxun Lu's work include Lymphoma Diagnosis and Treatment (12 papers), Viral-associated cancers and disorders (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Tingxun Lu is often cited by papers focused on Lymphoma Diagnosis and Treatment (12 papers), Viral-associated cancers and disorders (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Tingxun Lu collaborates with scholars based in China and United States. Tingxun Lu's co-authors include Kuan Ning, Jianyong Li, Wei Xu, Dong Hua, Linfang Jin, Zhihong Zhang, Dong Hua, Qixing Gong, Zhen Wang and Jin‐Hua Liang and has published in prestigious journals such as Blood, Scientific Reports and Journal of Clinical Pathology.

In The Last Decade

Tingxun Lu

21 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingxun Lu China 10 158 157 154 111 57 22 365
Brittany Campbell United States 6 112 0.7× 103 0.7× 145 0.9× 73 0.7× 35 0.6× 11 300
Roshan Mahabir United States 6 82 0.5× 234 1.5× 116 0.8× 97 0.9× 143 2.5× 13 396
Radhika Mathur United States 10 188 1.2× 445 2.8× 137 0.9× 99 0.9× 50 0.9× 26 575
Hannah Zöllner Germany 7 101 0.6× 340 2.2× 69 0.4× 317 2.9× 94 1.6× 7 529
Emanuela Scavo Italy 5 29 0.2× 194 1.2× 142 0.9× 168 1.5× 43 0.8× 5 358
K. Jin Kim United States 6 47 0.3× 204 1.3× 140 0.9× 59 0.5× 46 0.8× 7 375
Yvonne Remache United States 11 92 0.6× 129 0.8× 99 0.6× 44 0.4× 48 0.8× 18 300
Magdalena Zakrzewska Poland 13 28 0.2× 246 1.6× 83 0.5× 170 1.5× 128 2.2× 35 418
Kamal P. Sajwan United States 5 49 0.3× 321 2.0× 91 0.6× 24 0.2× 41 0.7× 5 379
Petra Obrtlíková Czechia 6 52 0.3× 151 1.0× 30 0.2× 78 0.7× 66 1.2× 14 262

Countries citing papers authored by Tingxun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tingxun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingxun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingxun Lu. A scholar is included among the top collaborators of Tingxun 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 Tingxun Lu. Tingxun 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.
Gao, Ting, Shan Chen, Shuang Wu, et al.. (2025). Identification of molecular clusters and a risk prognosis model for diffuse large B-cell lymphoma based on lactate metabolism-related genes. Annals of Hematology. 104(5). 2847–2867.
2.
Wu, Shuang, Shan Chen, Xinyi Zhou, et al.. (2024). Low NDRG2, regulated by the MYC/MIZ-1 complex and methylation, predicts poor outcomes in DLBCL patients. Annals of Hematology. 103(8). 2877–2892. 2 indexed citations
3.
Xu, Jia, Xiao‐Yuan Liu, Zebo Huang, et al.. (2024). XRCC2 knockdown effectively sensitizes esophageal cancer to albumin-paclitaxel in vitro and in vivo. Biochemical Genetics. 63(4). 3567–3583. 1 indexed citations
4.
Chen, Shan, Wenhan Chang, Xinyong Liu, et al.. (2024). A Longitudinal Dynamic Change in LMR Can Be a Biomarker for Recurrence in Fusobacterium Nucleatum-Positive Colorectal Cancer Patients. Journal of Inflammation Research. Volume 17. 11587–11604. 2 indexed citations
5.
Chen, Shan, et al.. (2023). Prognostic Value of Combined LMR and CEA Dynamic Monitoring in Postoperative Colorectal Cancer Patients. Journal of Inflammation Research. Volume 16. 4229–4250. 7 indexed citations
6.
Lu, Tingxun, Jie Zhang, Jenna McCracken, & Ken H. Young. (2023). Recent advances in genomics and therapeutics in mantle cell lymphoma. Cancer Treatment Reviews. 122. 102651–102651. 5 indexed citations
7.
8.
Hong, Tingting, Dongyan Cai, Linfang Jin, et al.. (2020). Development and validation of a nomogram to predict survival after curative resection of nonmetastatic colorectal cancer. Cancer Medicine. 9(12). 4126–4136. 13 indexed citations
9.
Lu, Tingxun, Shuang Wu, Dongyan Cai, et al.. (2019). Prognostic significance of serum aspartic transaminase in diffuse large B-cell lymphoma. BMC Cancer. 19(1). 553–553. 8 indexed citations
10.
Lu, Tingxun, Shuang Wu, Ying Zhang, et al.. (2019). CD5+MYC+ predicts worse prognosis in diffuse large B-cell lymphoma. Experimental and Molecular Pathology. 112. 104326–104326. 4 indexed citations
11.
Wu, Shuang, Ye Zhou, Haiying Hua, et al.. (2018). Inflammation marker ESR is effective in predicting outcome of diffuse large B-cell lymphoma. BMC Cancer. 18(1). 997–997. 15 indexed citations
12.
Gong, Qixing, Zhen Wang, Chong Liu, et al.. (2018). CD30 expression and its correlation with MYC and BCL2 in de novo diffuse large B-cell lymphoma. Journal of Clinical Pathology. 71(9). 795–801. 10 indexed citations
13.
Wang, Teng, Kuan Ning, Tingxun Lu, & Dong Hua. (2016). Elevated expression of TrpC5 and GLUT1 is associated with chemoresistance in colorectal cancer. Oncology Reports. 37(2). 1059–1065. 41 indexed citations
14.
Lu, Tingxun, Yi Miao, Jia‐Zhu Wu, et al.. (2016). The distinct clinical features and prognosis of the CD10+MUM1+ and CD10−Bcl6−MUM1− diffuse large B-cell lymphoma. Scientific Reports. 6(1). 20465–20465. 27 indexed citations
15.
Wang, Teng, Kuan Ning, Tingxun Lu, et al.. (2016). Increasing circulating exosomes‐carrying TRPC5 predicts chemoresistance in metastatic breast cancer patients. Cancer Science. 108(3). 448–454. 78 indexed citations
16.
Lu, Tingxun, Qixing Gong, Li Wang, et al.. (2015). Immunohistochemical algorithm alone is not enough for predicting the outcome of patients with diffuse large B-cell lymphoma treated with R-CHOP.. Europe PMC (PubMed Central). 8(1). 275–86. 3 indexed citations
17.
Lu, Tingxun, Jin‐Hua Liang, Yi Miao, et al.. (2015). Epstein-Barr virus positive diffuse large B-cell lymphoma predict poor outcome, regardless of the age. Scientific Reports. 5(1). 12168–12168. 82 indexed citations
18.
Gong, Qixing, Tingxun Lu, Chong Liu, et al.. (2015). Prevalence and clinicopathologic features of CD30-positive de novo diffuse large B-cell lymphoma in Chinese patients: a retrospective study of 232 cases.. PubMed. 8(12). 15825–35. 10 indexed citations
19.
Lu, Tingxun, Jianyong Li, & Wei Xu. (2013). The role of SOX11 in mantle cell lymphoma. Leukemia Research. 37(11). 1412–1419. 19 indexed citations
20.
Bao, Bo‐Ying, Junjie Bao, Youguang Pu, et al.. (2012). 437 Polymorphisms inside MicroRNAs and MicroRNA target sites predict clinical outcomes in prostate cancer patients receiving androgen-deprivation therapy. European Urology Supplements. 11(1). e437–e437a. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Brittany Campbell Breakdown of academic impact, for papers by Roshan Mahabir Breakdown of academic impact, for papers by Radhika Mathur Breakdown of academic impact, for papers by Hannah Zöllner Breakdown of academic impact, for papers by Emanuela Scavo Breakdown of academic impact, for papers by K. Jin Kim Breakdown of academic impact, for papers by Yvonne Remache Breakdown of academic impact, for papers by Magdalena Zakrzewska Breakdown of academic impact, for papers by Kamal P. Sajwan Breakdown of academic impact, for papers by Petra Obrtlíková
Rankless by CCL
2026