Chenjing Zhu

1.8k total citations · 1 hit paper
46 papers, 1.3k citations indexed

About

Chenjing Zhu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Chenjing Zhu has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in Chenjing Zhu's work include Radiomics and Machine Learning in Medical Imaging (6 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Chenjing Zhu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Chenjing Zhu collaborates with scholars based in China, United States and United Kingdom. Chenjing Zhu's co-authors include Xiawei Wei, Yuquan Wei, Xuelei Ma, Linghong Guo, Kai Shen, Shuo Zhang, Xia Yuan, Yingying Jin, Qingjuan Chen and Guoping Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Chenjing Zhu

45 papers receiving 1.3k citations

Hit Papers

AXL receptor tyrosine kinase as a promising anti-cancer a... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenjing Zhu China 19 476 356 313 226 197 46 1.3k
Sheau‐Chiann Chen United States 22 592 1.2× 295 0.8× 362 1.2× 381 1.7× 168 0.9× 75 1.4k
Yihong Ling China 21 354 0.7× 255 0.7× 346 1.1× 207 0.9× 240 1.2× 58 1.2k
Liyi Xie China 16 239 0.5× 207 0.6× 345 1.1× 222 1.0× 276 1.4× 54 1.1k
Antonella Spila Italy 25 744 1.6× 291 0.8× 500 1.6× 319 1.4× 308 1.6× 64 1.6k
Yu Gu China 16 674 1.4× 316 0.9× 349 1.1× 311 1.4× 207 1.1× 65 1.5k
Laura Pizzuti Italy 23 906 1.9× 206 0.6× 454 1.5× 333 1.5× 410 2.1× 96 1.7k
Luisa Carbognin Italy 20 928 1.9× 259 0.7× 337 1.1× 402 1.8× 320 1.6× 67 1.3k
Tai Hato Japan 16 822 1.7× 522 1.5× 435 1.4× 342 1.5× 379 1.9× 38 1.8k
Tamami Morisaki Japan 20 619 1.3× 177 0.5× 472 1.5× 230 1.0× 385 2.0× 98 1.2k
Robert J. Torphy United States 18 770 1.6× 231 0.6× 244 0.8× 245 1.1× 208 1.1× 53 1.2k

Countries citing papers authored by Chenjing Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Chenjing Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenjing Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenjing Zhu. A scholar is included among the top collaborators of Chenjing 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 Chenjing Zhu. Chenjing 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.
Gao, Xiaofei, et al.. (2025). Novel Insight of N6-Methyladenosine in Cardiovascular System. Medicina. 61(2). 222–222. 2 indexed citations
2.
Liu, Haiyang, Jin Zhang, Xincheng Zhang, et al.. (2025). A chromosome-level genome assembly of the male darkbarbel catfish (Pelteobagrus vachelli) using PacBio HiFi and Hi-C data. Scientific Data. 12(1). 351–351.
3.
Liu, Haiyang, Huijuan Liu, Jin Zhang, et al.. (2024). Chromosome-level genome assembly of the mud carp (Cirrhinus molitorella) using PacBio HiFi and Hi-C sequencing. Scientific Data. 11(1). 1249–1249. 2 indexed citations
5.
Zhu, Chenjing, Yan Chen, Mengyu Liu, et al.. (2024). Circulating micrornas as potential diagnostic biomarkers for cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis. Discover Oncology. 15(1). 189–189. 1 indexed citations
7.
Gutierrez, Martin, Elena Garralda, Emiliano Calvo, et al.. (2023). 1074TiP A phase I/II, open label, first-in-human, dose escalation and expansion study of SAR445877 administered as monotherapy in adults with advanced solid tumors. Annals of Oncology. 34. S646–S647. 2 indexed citations
8.
Chen, Qingjuan, Chenjing Zhu, Yingying Jin, et al.. (2020). <p>Plasma Long Non-Coding RNA RP11-438N5.3 as a Novel Biomarker for Non-Small Cell Lung Cancer</p>. Cancer Management and Research. Volume 12. 1513–1521. 18 indexed citations
9.
Chen, Qingjuan, Chenjing Zhu, & Yingying Jin. (2020). The Oncogenic and Tumor Suppressive Functions of the Long Noncoding RNA MALAT1: An Emerging Controversy. Frontiers in Genetics. 11. 93–93. 62 indexed citations
11.
Zhu, Chenjing, Otília Menyhárt, Balázs Győrffy, & Xia He. (2019). The prognostic association of SPAG5 gene expression in breast cancer patients with systematic therapy. BMC Cancer. 19(1). 1046–1046. 15 indexed citations
12.
Ma, Xuelei, Wenwu Ling, Fan Xia, et al.. (2019). Application of Contrast-Enhanced Ultrasound (CEUS) in Lymphomatous Lymph Nodes: A Comparison between PET/CT and Contrast-Enhanced CT. Contrast Media & Molecular Imaging. 2019. 1–7. 16 indexed citations
13.
Zhang, Jing, Jinying Li, Chenjing Zhu, et al.. (2017). Safety and efficacy of the addition of pertuzumab to T-DM1 &plusmn; taxane in patients with HER2-positive, locally advanced or metastatic breast cancer: a pooled analysis. Drug Design Development and Therapy. Volume 11. 3235–3244. 3 indexed citations
14.
Nie, Ji, Jing Zhang, Linghong Guo, et al.. (2017). Diagnostic role of 18F-FDG PET/MRI in patients with gynecological malignancies of the pelvis: A systematic review and meta-analysis. PLoS ONE. 12(5). e0175401–e0175401. 25 indexed citations
15.
Zhu, Chenjing, Jiaming Liu, Jing Zhang, et al.. (2017). Efficacy and safety of dose-dense chemotherapy in urothelial carcinoma. Oncotarget. 8(41). 71117–71127. 4 indexed citations
16.
Zhang, Jing, Yanlin Song, Fan Xia, et al.. (2017). Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology. Medical Hypotheses. 107. 98–99. 15 indexed citations
17.
Shen, Kai, Xuelei Ma, Chenjing Zhu, Xin Wu, & Hongyuan Jia. (2016). Safety and Efficacy of Trastuzumab Emtansine in Advanced Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer: a Meta-analysis. Scientific Reports. 6(1). 23262–23262. 21 indexed citations
18.
Zhang, Shuo, Xuelei Ma, Chenjing Zhu, et al.. (2016). The Role of Myeloid-Derived Suppressor Cells in Patients with Solid Tumors: A Meta-Analysis. PLoS ONE. 11(10). e0164514–e0164514. 138 indexed citations
19.
Wang, Manni, Xuelei Ma, Chenjing Zhu, et al.. (2016). The prognostic value of long non coding RNAs in non small cell lung cancer: A meta-analysis. Oncotarget. 7(49). 81292–81304. 24 indexed citations
20.
Deng, Ke, Chenjing Zhu, Xuelei Ma, et al.. (2016). Rapid Discrimination of Malignant Breast Lesions from Normal Tissues Utilizing Raman Spectroscopy System: A Systematic Review and Meta-Analysis of In Vitro Studies. PLoS ONE. 11(7). e0159860–e0159860. 7 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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