Honglei Tu

582 total citations
26 papers, 449 citations indexed

About

Honglei Tu is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Honglei Tu has authored 26 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Hematology. Recurrent topics in Honglei Tu's work include Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (3 papers) and 3D Printing in Biomedical Research (3 papers). Honglei Tu is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (3 papers) and 3D Printing in Biomedical Research (3 papers). Honglei Tu collaborates with scholars based in China, United States and Taiwan. Honglei Tu's co-authors include Fuling Zhou, Yongchang Wei, Hailing Liu, Zongfang Li, Fuling Zhou, Shan Meng, Lina Zhang, Xueqin Wei, Hailing Liu and Liqin Cai and has published in prestigious journals such as Cancer Research, Carbohydrate Polymers and Journal of Cellular Physiology.

In The Last Decade

Honglei Tu

24 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honglei Tu China 13 192 88 64 58 53 26 449
Manasi P. Jogalekar United States 13 206 1.1× 173 2.0× 72 1.1× 65 1.1× 130 2.5× 21 593
Yong Ying China 12 218 1.1× 50 0.6× 26 0.4× 26 0.4× 80 1.5× 25 456
Richard D. Horniblow United Kingdom 10 184 1.0× 67 0.8× 28 0.4× 13 0.2× 20 0.4× 20 458
Aleksandra V. Sen’kova Russia 14 350 1.8× 73 0.8× 93 1.5× 20 0.3× 144 2.7× 53 692
Yoon‐Sang Kim United States 14 303 1.6× 70 0.8× 15 0.2× 18 0.3× 65 1.2× 27 567
Chi‐Tan Hu Taiwan 18 303 1.6× 79 0.9× 108 1.7× 17 0.3× 92 1.7× 48 823
Zongmei Wen China 13 270 1.4× 19 0.2× 56 0.9× 32 0.6× 225 4.2× 40 564
Shravan Morla United States 9 214 1.1× 44 0.5× 50 0.8× 10 0.2× 23 0.4× 14 390
Indra Bachtiar Indonesia 13 146 0.8× 47 0.5× 45 0.7× 38 0.7× 61 1.2× 37 497
Haijun Liu China 10 346 1.8× 60 0.7× 51 0.8× 62 1.1× 52 1.0× 13 506

Countries citing papers authored by Honglei Tu

Since Specialization
Citations

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

Fields of papers citing papers by Honglei Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglei Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Honglei Tu. A scholar is included among the top collaborators of Honglei Tu 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 Honglei Tu. Honglei Tu 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.
Xia, F., et al.. (2025). Adverse event profile of crizotinib in real-world from the FAERS database: a 12-year pharmacovigilance study. BMC Pharmacology and Toxicology. 26(1). 61–61. 7 indexed citations
2.
Song, Yipeng, Huan Zhang, Honglei Tu, et al.. (2025). Monocyte count combined with GTVnx is an independent prognostic factor in non-metastatic nasopharyngeal carcinoma receiving radiotherapy. Frontiers in Oncology. 15. 1541212–1541212.
3.
Wu, Zhuhao, Zheng Ao, Hongwei Cai, et al.. (2023). Acoustofluidic assembly of primary tumor-derived organotypic cell clusters for rapid evaluation of cancer immunotherapy. Journal of Nanobiotechnology. 21(1). 40–40. 16 indexed citations
4.
5.
Li, Dan, Haike Lei, Xin Zhang, et al.. (2023). Association of public health insurance with cancer-specific mortality risk among patients with nasopharyngeal carcinoma: a prospective cohort study in China. Frontiers in Public Health. 11. 1020828–1020828. 3 indexed citations
6.
Sui, Jiang-Dong, Ying Wang, Yongzhong Wu, et al.. (2022). Radiation-induced eosinophil increase ratio predicts patient outcomes in non-small celllung cancer. Frontiers in Oncology. 12. 999555–999555. 1 indexed citations
7.
Tu, Honglei, Zhuhao Wu, Yu Xia, et al.. (2020). Profiling of immune–cancer interactions at the single-cell level using a microfluidic well array. The Analyst. 145(12). 4138–4147. 25 indexed citations
8.
Xu, Junhua, et al.. (2019). Acoustic disruption of tumor endothelium and on-demand drug delivery for cancer chemotherapy. Nanotechnology. 30(15). 154001–154001. 14 indexed citations
9.
Huang, Tianhe, Fuling Zhou, Xiaohan Yuan, et al.. (2019). Reactive Oxygen Species Are Involved in the Development of Gastric Cancer and Gastric Cancer-Related Depression through ABL1-Mediated Inflammation Signaling Pathway. Oxidative Medicine and Cellular Longevity. 2019. 1–12. 34 indexed citations
10.
Jin, Yanxia, Yufeng Shang, Lu Ding, et al.. (2019). <p>A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas</p>. OncoTargets and Therapy. Volume 12. 10587–10596. 3 indexed citations
11.
Tu, Honglei, Fuling Zhou, Yunbao Pan, & François X. Claret. (2018). Abstract 2634: Predictive value of 18F-FDG PET/CT scanning in combination with clinical parameters in patients with newly diagnosed multiple myeloma. Cancer Research. 78(13_Supplement). 2634–2634. 1 indexed citations
12.
Jin, Yanxia, Qian Yang, Liang Li, et al.. (2018). Compound kushen injection suppresses human acute myeloid leukaemia by regulating the Prdxs/ROS/Trx1 signalling pathway. Journal of Experimental & Clinical Cancer Research. 37(1). 277–277. 44 indexed citations
13.
Wei, Xueqin, Liqin Cai, Hailing Liu, et al.. (2018). Chain conformation and biological activities of hyperbranched fucoidan derived from brown algae and its desulfated derivative. Carbohydrate Polymers. 208. 86–96. 56 indexed citations
14.
Huang, Tianhe, Jie Lian, Fuling Zhou, et al.. (2017). Potential prognostic value of clinical characteristics, hormone status and major depressive disorder in breast cancer. Future Oncology. 13(17). 1493–1503. 5 indexed citations
15.
Meng, Shan, Yanxia Jin, Wanggang Zhang, et al.. (2017). A novel multi‐epitope vaccine from MMSA‐1 and DKK1 for multiple myeloma immunotherapy. British Journal of Haematology. 178(3). 413–426. 49 indexed citations
16.
Meng, Shan, Zhuo Ma, Hailing Liu, et al.. (2017). Prognostic Value of Elevated Red Blood Cell Distribution Width in Chinese Patients with Multiple Myeloma.. PubMed. 47(3). 282–290. 23 indexed citations
17.
Tu, Honglei, Bo Lei, Shan Meng, et al.. (2016). Efficacy of Compound Kushen Injection in Combination with Induction Chemotherapy for Treating Adult Patients Newly Diagnosed with Acute Leukemia. Evidence-based Complementary and Alternative Medicine. 2016(1). 3121402–3121402. 16 indexed citations
18.
Tu, Honglei, Yan Lin, Jie Ding, et al.. (2014). Oxidative Stress Upregulates PDCD4 Expression in Patients with Gastric Cancer via miR-21. Current Pharmaceutical Design. 20(11). 1917–1923. 49 indexed citations
19.
Huang, Wen‐Kuan, John W. C. Chang, Lai‐Chu See, et al.. (2012). Higher rate of colorectal cancer among patients with pyogenic liver abscess withKlebsiella pneumoniaethan those without: an 11‐year follow‐up study. Colorectal Disease. 14(12). e794–801. 43 indexed citations
20.
Tu, Honglei & Jing Huang. (2009). Hand-drawn shape recognition based on k+segment algorithm for principal curves. Journal of Computer Applications. 29(2). 456–458. 1 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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