Lingjun Zhu

3.6k total citations · 2 hit papers
101 papers, 2.7k citations indexed

About

Lingjun Zhu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lingjun Zhu has authored 101 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 40 papers in Cancer Research and 33 papers in Oncology. Recurrent topics in Lingjun Zhu's work include Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (15 papers) and Cancer Genomics and Diagnostics (14 papers). Lingjun Zhu is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (15 papers) and Cancer Genomics and Diagnostics (14 papers). Lingjun Zhu collaborates with scholars based in China, United States and South Korea. Lingjun Zhu's co-authors include Meilin Wang, Haiyan Chu, Dongying Gu, Mulong Du, Zhengdong Zhang, Yongqian Shu, Na Tong, Jinfei Chen, Shuwei Li and Ling Ma and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biomaterials.

In The Last Decade

Lingjun Zhu

98 papers receiving 2.6k citations

Hit Papers

Role of exosomal non-coding RNAs from tumor cells and tum... 2022 2026 2023 2024 2022 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Role of exosomal non-coding RNAs from tumor cells and tumor-associated macrophages in the tumor microenvironment
    2022 223 citations Yi Chen, Ling Ma et al. Molecular Therapy profile →
  2. Exosomal circLPAR1 functions in colorectal cancer diagnosis and tumorigenesis through suppressing BRD4 via METTL3–eIF3h interaction
    2022 158 citations Rui Zheng, Ke Zhang et al. Molecular Cancer profile →

Peers

Lingjun Zhu
Min Xiao China
Sanjeev K. Srivastava United States
Mayank Singh India
Chao Chen China
Ling‐Wen Ding Singapore
Lixia Xu China
Meiju Ji China
Si Sun China
Yue Jin China
Kenneth W. Yip Canada
Min Xiao China
Lingjun Zhu
Citations per year, relative to Lingjun Zhu Lingjun Zhu (= 1×) peers Min Xiao

Countries citing papers authored by Lingjun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingjun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingjun Zhu. A scholar is included among the top collaborators of Lingjun Zhu 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 Lingjun Zhu. Lingjun Zhu 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.
Wu, Fan, Peng Yuan, Yulan Zeng, et al.. (2024). 101P Circulating tumor DNA minimal residual disease predicts the risk of progression after long-term response to first-line immunotherapy in advanced NSCLC. Annals of Oncology. 35. S254–S254. 1 indexed citations
2.
Du, Mulong, Shuai Ben, Junyi Xin, et al.. (2023). Genetic Modulation of BET1L Confers Colorectal Cancer Susceptibility by Reducing miRNA Binding and m6A Modification. Cancer Research. 83(13). 2142–2154. 10 indexed citations
3.
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Zheng, Rui, Ke Zhang, Fang Gao, et al.. (2022). Exosomal circLPAR1 functions in colorectal cancer diagnosis and tumorigenesis through suppressing BRD4 via METTL3–eIF3h interaction. Molecular Cancer. 21(1). 49–49. 158 indexed citations breakdown →
5.
Zhu, Lingjun, et al.. (2022). A Novel Glycolysis-Related Gene Signature Predicts Prognosis For CutaneousMelanoma. Combinatorial Chemistry & High Throughput Screening. 26(5). 965–978. 2 indexed citations
6.
Chen, Yi, Ling Ma, Yizhang Chen, et al.. (2022). Role of exosomal non-coding RNAs from tumor cells and tumor-associated macrophages in the tumor microenvironment. Molecular Therapy. 30(10). 3133–3154. 223 indexed citations breakdown →
7.
Yu, Ting, Shuai Ben, Ling Ma, et al.. (2022). Genetic variants in autophagy-related gene ATG2B predict the prognosis of colorectal cancer patients receiving chemotherapy. Frontiers in Oncology. 12. 876424–876424. 2 indexed citations
8.
Wei, Guoli, Liangjun Zhu, Lingjun Zhu, et al.. (2021). Preventive Efficacy and Safety of Yiqi-Wenjing-Fang Granules on Oxaliplatin-Induced Peripheral Neuropathy: A Protocol for a Randomized, Double-Blind, Placebo-Controlled, Multicenter Trial. Evidence-based Complementary and Alternative Medicine. 2021. 1–9. 3 indexed citations
9.
Liu, Jinfang, Zijian Zhou, Ling Ma, et al.. (2021). Effects of RNA methylation N6-methyladenosine regulators on malignant progression and prognosis of melanoma. Cancer Cell International. 21(1). 453–453. 18 indexed citations
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Jiang, Yangyang, Lingjun Zhu, Shu Cai, et al.. (2018). Corrosion-resistant fluoridated Ca–Mg–P composite coating on magnesium alloys prepared via hydrothermal assisted sol–gel process. Journal of materials research/Pratt's guide to venture capital sources. 33(22). 3793–3800. 6 indexed citations
13.
Cong, Minghua, Jiejun Wang, Yu Fang, et al.. (2018). A multi-center survey on dietary knowledge and behavior among inpatients in oncology department. Supportive Care in Cancer. 26(7). 2285–2292. 17 indexed citations
14.
Li, Shuwei, Mulong Du, Kaili Xu, et al.. (2018). Association study of genetic variants in estrogen metabolic pathway genes and colorectal cancer risk and survival. Archives of Toxicology. 92(6). 1991–1999. 18 indexed citations
15.
Wang, Weizhi, Mulong Du, Dongying Gu, et al.. (2014). MDM2 SNP309 polymorphism is associated with colorectal cancer risk. Scientific Reports. 4(1). 4851–4851. 14 indexed citations
16.
Guo, Nannan, Bin Shi, Qian Zhang, et al.. (2014). The Effect of XPD Polymorphisms on Digestive Tract Cancers Risk: A Meta-Analysis. PLoS ONE. 9(5). e96301–e96301. 10 indexed citations
17.
18.
Chen, Xiaofeng, Yiqian Liu, Oluf Dimitri Røe, et al.. (2013). Gefitinib or Erlotinib as Maintenance Therapy in Patients with Advanced Stage Non-Small Cell Lung Cancer: A Systematic Review. PLoS ONE. 8(3). e59314–e59314. 50 indexed citations
19.
Zhu, Lingjun, Mulong Du, Dongying Gu, et al.. (2013). Genetic Variant rs7758229 in 6q26–q27 Is Not Associated with Colorectal Cancer Risk in a Chinese Population. PLoS ONE. 8(3). e59256–e59256. 7 indexed citations
20.
Zhu, Lingjun, Haiyan Chu, Dongying Gu, et al.. (2011). A Functional Polymorphism in miRNA-196a2 Is Associated with Colorectal Cancer Risk in a Chinese Population. DNA and Cell Biology. 31(3). 350–354. 63 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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