Zining Jin

463 total citations
28 papers, 309 citations indexed

About

Zining Jin is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Zining Jin has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Zining Jin's work include Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (6 papers) and Cancer Cells and Metastasis (5 papers). Zining Jin is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (6 papers) and Cancer Cells and Metastasis (5 papers). Zining Jin collaborates with scholars based in China, United States and Saint Kitts and Nevis. Zining Jin's co-authors include Bo Chen, Feng Jin, Caiyun He, Yuan Yuan, Ang Zheng, Min Zhao, Guanglei Chen, Miao He, Jian Wen and Lei Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Small.

In The Last Decade

Zining Jin

26 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zining Jin China 11 186 136 74 61 28 28 309
Beige Zong China 10 167 0.9× 119 0.9× 125 1.7× 66 1.1× 24 0.9× 15 321
Runyi Ye China 12 192 1.0× 142 1.0× 66 0.9× 45 0.7× 20 0.7× 15 306
Subhasree Balakrishnan United States 3 211 1.1× 79 0.6× 88 1.2× 76 1.2× 24 0.9× 3 299
Miljana Nenkov Germany 10 171 0.9× 125 0.9× 64 0.9× 53 0.9× 17 0.6× 12 267
Wolong Zhou China 12 304 1.6× 157 1.2× 96 1.3× 79 1.3× 38 1.4× 21 427
Brijesh Kumar United States 11 168 0.9× 99 0.7× 94 1.3× 53 0.9× 15 0.5× 18 314
Jou‐Ho Shih Taiwan 8 222 1.2× 112 0.8× 77 1.0× 31 0.5× 18 0.6× 10 292
Michael D. Arensman United States 5 227 1.2× 115 0.8× 93 1.3× 68 1.1× 30 1.1× 8 332
Daniel R. Radiloff United States 8 209 1.1× 64 0.5× 92 1.2× 43 0.7× 32 1.1× 11 327
Sunao Tanaka Japan 10 184 1.0× 107 0.8× 98 1.3× 29 0.5× 22 0.8× 26 328

Countries citing papers authored by Zining Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zining Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zining Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zining Jin. A scholar is included among the top collaborators of Zining Jin 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 Zining Jin. Zining Jin 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.
Jin, Zining, Xue Yu, Yanshu Li, et al.. (2025). Gastric Cancer Models Developed via GelMA 3D Bioprinting Accurately Mimic Cancer Hallmarks, Tumor Microenvironment Features, and Drug Responses. Small. 21(8). e2409321–e2409321. 4 indexed citations
2.
Wan, Juefeng, Zining Jin, Yongfeng Wang, & Shuai Han. (2025). Comparison of accuracy, efficiency and safety between robotic-assisted and non-robotic-assisted deep brain stimulation: systematic review and/or meta-analysis. International Journal of Surgery. 111(7). 4704–4714.
3.
Yao, Weifeng, et al.. (2024). Towards precision medicine: design considerations for nanozymes in tumor treatment. Journal of Translational Medicine. 22(1). 1033–1033. 5 indexed citations
4.
5.
Wang, Xinyi, Yuting Zhang, Mengting Yang, et al.. (2024). Dynamic ultrasound-based modeling predictive of response to neoadjuvant chemotherapy in patients with early breast cancer. Scientific Reports. 14(1). 31644–31644. 2 indexed citations
6.
Song, Xinyue, Zining Jin, Yiqi Zhang, et al.. (2024). U2AF2-SNORA68 promotes triple-negative breast cancer stemness through the translocation of RPL23 from nucleoplasm to nucleolus and c-Myc expression. Breast Cancer Research. 26(1). 60–60. 5 indexed citations
7.
Jin, Zining, Xinyue Song, Hao Yu, et al.. (2024). The small nucleolar RNA SNORA51 enhances breast cancer stem cell‐like properties via the RPL3/NPM1/c‐MYC pathway. Molecular Carcinogenesis. 63(6). 1117–1132. 4 indexed citations
8.
Yan, Yuanyuan, Miao He, Lin Zhao, et al.. (2022). A novel HIF-2α targeted inhibitor suppresses hypoxia-induced breast cancer stemness via SOD2-mtROS-PDI/GPR78-UPRER axis. Cell Death and Differentiation. 29(9). 1769–1789. 63 indexed citations
9.
Liu, Yanbiao, et al.. (2022). Axillary management for early invasive breast cancer patients: Who will truly benefit?. Frontiers in Oncology. 12. 989975–989975. 3 indexed citations
10.
Jin, Zining, Qingfu Zhang, Chunyu Wang, et al.. (2022). High phosphorylated cyclin-dependent kinase 2 expression indicates poor prognosis of luminal androgen receptor triple-negative breast cancer. Acta Biochimica et Biophysica Sinica. 54(7). 1034–1038. 1 indexed citations
11.
Liu, Yanbiao, et al.. (2022). An insight into the invasion of breast ductal carcinoma in situ based on clinical, pathological and hematological data. PeerJ. 10. e13966–e13966. 1 indexed citations
12.
Zheng, Ang, et al.. (2021). Clinical practice guidelines for ductal carcinoma in situ: Chinese Society of Breast Surgery (CSBrS) practice guidelines 2021. Chinese Medical Journal. 134(13). 1519–1521. 2 indexed citations
13.
14.
Zhang, Lei, Zining Jin, Wei Ma, et al.. (2020). Coexpression Network Analysis of Genes Related to the Characteristics of Tumor Stemness in Triple‐Negative Breast Cancer. BioMed Research International. 2020(1). 7575862–7575862. 17 indexed citations
15.
Zhang, Lei, et al.. (2020). <p>MRPL13 is a Prognostic Cancer Biomarker and Correlates with Immune Infiltrates in Breast Cancer</p>. OncoTargets and Therapy. Volume 13. 12255–12268. 21 indexed citations
16.
Zhang, Yiqi, et al.. (2020). <p>The Expression and Prognostic Significance of Claudin-8 and Androgen Receptor in Breast Cancer</p>. OncoTargets and Therapy. Volume 13. 3437–3448. 14 indexed citations
17.
Ye, Lijun, et al.. (2020). Nomogram for predicting the risk of bone metastasis in breast cancer: a SEER population-based study. Translational Cancer Research. 9(11). 6710–6719. 10 indexed citations
18.
Liu, Wei, Chunyu Wang, Shengli Wang, et al.. (2020). PRPF6 promotes androgen receptor/androgen receptor-variant 7 actions in castration-resistant prostate cancer cells. International Journal of Biological Sciences. 17(1). 188–203. 8 indexed citations
19.
Jin, Zining, Wenqian Wang, Nan Jiang, et al.. (2015). Clinical Implications of iNOS Levels in Triple-Negative Breast Cancer Responding to Neoadjuvant Chemotherapy. PLoS ONE. 10(7). e0130286–e0130286. 15 indexed citations
20.
Zhang, Hao, Minna Luo, Zining Jin, et al.. (2015). Expression and clinicopathological significance of FSIP1 in breast cancer. Oncotarget. 6(12). 10658–10666. 21 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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