Donglai Lv

849 total citations
15 papers, 647 citations indexed

About

Donglai Lv is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Donglai Lv has authored 15 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Donglai Lv's work include Cancer Cells and Metastasis (4 papers), Glioma Diagnosis and Treatment (2 papers) and Lung Cancer Research Studies (2 papers). Donglai Lv is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Glioma Diagnosis and Treatment (2 papers) and Lung Cancer Research Studies (2 papers). Donglai Lv collaborates with scholars based in China, United States and Hong Kong. Donglai Lv's co-authors include Zongtao Hu, Xiuli Xu, Lin Lü, Jie Zhu, Feng Hu, Xiu‐Wu Bian, Shi‐Cang Yu, You‐Hong Cui, Xiaojun Yang and Ying Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Donglai Lv

13 papers receiving 638 citations

Peers

Donglai Lv
Yimin Wu China
Fen Zhao China
Liqun Xu China
Donglai Lv
Citations per year, relative to Donglai Lv Donglai Lv (= 1×) peers Lintao Zhao

Countries citing papers authored by Donglai Lv

Since Specialization
Citations

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

Fields of papers citing papers by Donglai Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglai Lv

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

All Works

15 of 15 papers shown
1.
Feng, Peng, Donglai Lv, Weidong Hao, et al.. (2025). The novel GLP-1 / GIP dual agonist DA3-CH is more effective than liraglutide in the MPTP mouse model of Parkinson's disease. European Journal of Pharmacology. 1003. 177972–177972. 1 indexed citations
3.
Zhao, Haobin, Yuxiang Ma, Xiao‐Ming Meng, et al.. (2024). 605O YL201, a novel B7H3-targeting antibody-drug conjugate (ADC), in patients (pts) with advanced solid tumors: Results from a first-in-human phase I study. Annals of Oncology. 35. S485–S485. 4 indexed citations
4.
Hao, Yue, You‐cai Zhu, Fei Pang, et al.. (2024). Prospective assessment of AI-enabled cost savings, continuous support, and psychosocial enhancement (AI New Era Study).. Journal of Clinical Oncology. 42(16_suppl). e13615–e13615.
5.
Lv, Donglai, et al.. (2023). [Lung Squamous Cell Carcinoma with EML4-ALK Fusion and TP53 Co-mutation 
Treated with Ensartinib: A Case Report and Literature Review].. SHILAP Revista de lepidopterología. 26(1). 78–82. 3 indexed citations
7.
Lü, Lin, et al.. (2018). Nonsmall cell lung cancer with rare exon 7 p.A289V mutation in the EGFR gene responds to Icotinib treatment. Medicine. 97(51). e13809–e13809. 13 indexed citations
8.
Lv, Donglai, et al.. (2017). Three‑dimensional cell culture: A powerful tool in tumor research and drug discovery (Review). Oncology Letters. 14(6). 6999–7010. 283 indexed citations
9.
Wu, Zhili, et al.. (2017). Successful management of rare gingival metastasis from gastric adenocarcinoma: a case report and literature review. World Journal of Surgical Oncology. 15(1). 6–9. 7 indexed citations
10.
Lv, Donglai, Lin Lü, Zongtao Hu, et al.. (2016). Nestin Expression Is Associated with Poor Clinicopathological Features and Prognosis in Glioma Patients: an Association Study and Meta-analysis. Molecular Neurobiology. 54(1). 727–735. 33 indexed citations
11.
Lv, Donglai, Qinghua Ma, Haibo Wu, et al.. (2016). Optimized dissociation protocol for isolating human glioma stem cells from tumorspheres via fluorescence-activated cell sorting. Cancer Letters. 377(1). 105–115. 22 indexed citations
12.
Lv, Donglai, Shi‐Cang Yu, Yi‐Fang Ping, et al.. (2016). A three-dimensional collagen scaffold cell culture system for screening anti-glioma therapeutics. Oncotarget. 7(35). 56904–56914. 69 indexed citations
13.
Lv, Donglai, et al.. (2015). Iris metastasis from esophageal squamous cell carcinoma: A case report. Oncology Letters. 10(2). 790–792. 8 indexed citations
14.
Liu, Ying, Donglai Lv, Jiang‐Jie Duan, et al.. (2014). ALDH1A1 expression correlates with clinicopathologic features and poor prognosis of breast cancer patients: a systematic review and meta-analysis. BMC Cancer. 14(1). 444–444. 88 indexed citations
15.
Hu, Feng, et al.. (2013). Related Risk Factors for Injury Severity of E-bike and Bicycle Crashes in Hefei. Traffic Injury Prevention. 15(3). 319–323. 111 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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