Liling Zhang

6.6k total citations · 1 hit paper
145 papers, 3.9k citations indexed

About

Liling Zhang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Liling Zhang has authored 145 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 45 papers in Pathology and Forensic Medicine and 37 papers in Oncology. Recurrent topics in Liling Zhang's work include Lymphoma Diagnosis and Treatment (40 papers), Viral-associated cancers and disorders (12 papers) and CAR-T cell therapy research (11 papers). Liling Zhang is often cited by papers focused on Lymphoma Diagnosis and Treatment (40 papers), Viral-associated cancers and disorders (12 papers) and CAR-T cell therapy research (11 papers). Liling Zhang collaborates with scholars based in China, United States and Canada. Liling Zhang's co-authors include Allen Volchuk, Tracy Teodoro, Youyong Li, Tingjun Hou, Elizabeth Karaskov, Cameron C. Scott, Mariella Ravazzola, Sabine Riethdorf, Klaus Pantel and Huidong Yu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Liling Zhang

135 papers receiving 3.9k citations

Hit Papers

Chronic Palmitate But Not Oleate Exposure Induces Endopla... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liling Zhang China 32 1.3k 1.2k 746 526 510 145 3.9k
Chih‐Jen Yang Taiwan 39 2.4k 1.8× 1.1k 0.9× 873 1.2× 409 0.8× 242 0.5× 157 4.7k
Jianfeng Li China 34 1.7k 1.3× 961 0.8× 680 0.9× 324 0.6× 165 0.3× 162 4.7k
Min Yang China 38 2.0k 1.6× 821 0.7× 847 1.1× 699 1.3× 157 0.3× 243 5.0k
Fang Li China 40 3.1k 2.4× 746 0.6× 698 0.9× 660 1.3× 339 0.7× 274 6.4k
Min He China 37 1.8k 1.4× 885 0.8× 715 1.0× 367 0.7× 227 0.4× 243 4.6k
Ying� Qin China 33 3.4k 2.6× 600 0.5× 1.1k 1.5× 473 0.9× 396 0.8× 133 5.2k
Min Zhang China 32 1.5k 1.2× 578 0.5× 579 0.8× 476 0.9× 210 0.4× 209 4.1k
Pengfei Xu China 30 2.2k 1.7× 1.1k 1.0× 722 1.0× 480 0.9× 164 0.3× 137 4.8k
Xiuping Liu China 33 1.8k 1.4× 650 0.6× 755 1.0× 213 0.4× 220 0.4× 127 3.3k
Li Tan China 37 2.6k 2.0× 892 0.8× 370 0.5× 282 0.5× 315 0.6× 233 5.0k

Countries citing papers authored by Liling Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Liling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liling Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Liling Zhang. A scholar is included among the top collaborators of Liling Zhang 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 Liling Zhang. Liling Zhang 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.
Li, Dacheng, et al.. (2025). Synergistic effect of recycled PET and hyperbranched ionic liquids for toughening epoxy resin. Composites Communications. 54. 102286–102286. 3 indexed citations
2.
Zhang, Liling, et al.. (2024). Liquid metal flexible multifunctional sensors with ultra-high conductivity for use as wearable sensors, joule heaters and electromagnetic shielding materials. Composites Part B Engineering. 291. 112064–112064. 15 indexed citations
3.
Li, Dacheng, et al.. (2024). Molecular dynamics simulation and curing kinetics of recycled PET /PEGc toughened epoxy resin. Reactive and Functional Polymers. 207. 106142–106142. 3 indexed citations
4.
Song, Zheng, Ying Cheng, Haiyan Yang, et al.. (2024). Final Analysis of a Phase 1 Study of Zanubrutinib Plus Lenalidomide in Patients With Relapsed/Refractory Diffuse Large B-cell Lymphoma. Blood. 144(Supplement 1). 986–986. 1 indexed citations
5.
Zhao, Weili, Jun Zhu, Yuqin Song, et al.. (2024). Tucidinostat plus R-CHOP in previously untreated diffuse large B-cell lymphoma with double expression of MYC and BCL2: An interim analysis from the phase III DEB study.. Journal of Clinical Oncology. 42(17_suppl). LBA7003–LBA7003. 7 indexed citations
6.
Li, Yuyao, et al.. (2024). Detection of free DNA based on metal-enhanced fluorescence triggered by CRISPR-Cas12a and colorimetric analysis. Analytical Methods. 16(19). 3099–3108. 9 indexed citations
7.
Zhang, Liling, et al.. (2024). Modulating the birefringence of two-dimensional hybrid lead bromide perovskites using pyridine derivative cations. Inorganic Chemistry Frontiers. 11(22). 7853–7859. 5 indexed citations
8.
Ou, Santao, Ting Kang, Weihua Wu, et al.. (2023). Altered serum metabolome associated with vascular calcification developed from CKD and the critical pathways. Frontiers in Cardiovascular Medicine. 10. 1114528–1114528. 2 indexed citations
11.
Song, Yuqin, Jianqiu Wu, Xinchuan Chen, et al.. (2019). A Single-Arm, Multicenter, Phase II Study of Camrelizumab in Relapsed or Refractory Classical Hodgkin Lymphoma. Clinical Cancer Research. 25(24). 7363–7369. 109 indexed citations
12.
Li, Xiaoqian, et al.. (2019). <p>Identification of hub genes and key pathways associated with angioimmunoblastic T-cell lymphoma using weighted gene co-expression network analysis</p>. Cancer Management and Research. Volume 11. 5209–5220. 12 indexed citations
13.
Liu, Tao, Fang Zhu, Qiuhui Li, et al.. (2018). Pegaspargase, gemcitabine, dexamethasone, and cisplatin (P-GDP) combined chemotherapy is effective for newly diagnosed extranodal NK/T-cell lymphoma: a retrospective study. Cancer Management and Research. Volume 10. 5061–5069. 7 indexed citations
14.
Xia, Yun, Xianyi Cai, Liling Zhang, et al.. (2015). Rho Kinase Inhibitor Fasudil Suppresses the Vasculogenic Mimicry of B16 Mouse Melanoma Cells Both In Vitro and In Vivo. Molecular Cancer Therapeutics. 14(7). 1582–1590. 44 indexed citations
15.
Shen, Mingyun, Huidong Yu, Youyong Li, et al.. (2013). Discovery of Rho-kinase inhibitors by docking-based virtual screening. Molecular BioSystems. 9(6). 1511–1521. 48 indexed citations
16.
Zhang, Liling, Sabine Riethdorf, Gang Wu, et al.. (2012). Meta-Analysis of the Prognostic Value of Circulating Tumor Cells in Breast Cancer. Clinical Cancer Research. 18(20). 5701–5710. 292 indexed citations
18.
Zhang, Liling. (2010). Effect of Qingrehuayuziyin Decoction on Lymphocyte Apoptosis and Other Clinical Indices of the Patients with Systemic Lupus Erythematosus. 1 indexed citations
19.
Zhang, Liling. (2009). Effect of compound Danshen dropping pills on microalbuminuria in type 2 diabetic patients with nephropathy. Zhongguo xin yao zazhi. 1 indexed citations
20.
Guo, Ximin, et al.. (2004). Selenium in promotion of the differentiation of mouse embryonic stem cells into insulin-producing cells. 28(2). 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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