Ying Zhan

798 total citations · 1 hit paper
39 papers, 614 citations indexed

About

Ying Zhan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ying Zhan has authored 39 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Ying Zhan's work include Macrophage Migration Inhibitory Factor (5 papers), Viral Infections and Vectors (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Ying Zhan is often cited by papers focused on Macrophage Migration Inhibitory Factor (5 papers), Viral Infections and Vectors (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Ying Zhan collaborates with scholars based in China, United States and Australia. Ying Zhan's co-authors include Bahareh Behkam, Richey M. Davis, SeungBeum Suh, Irving C. Allen, Mahama A. Traoré, Veronica M. Ringel‐Scaia, Ami Jo, Sheryl Coutermarsh‐Ott, Hong-Fei Xia and Bingbing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemical Communications.

In The Last Decade

Ying Zhan

35 papers receiving 600 citations

Hit Papers

Explainable deep learning... 2025 2026 2025 5 10 15 20
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. Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens
    2025 24 citations Ying Zhan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Zhan China 14 221 157 108 106 46 39 614
Joseph Ndika Finland 16 255 1.2× 129 0.8× 36 0.3× 21 0.2× 47 1.0× 28 709
Marta Sierra Spain 19 445 2.0× 77 0.5× 98 0.9× 29 0.3× 27 0.6× 41 873
Bo Zhu China 12 228 1.0× 92 0.6× 39 0.4× 28 0.3× 8 0.2× 62 513
Dukjin Kang South Korea 20 516 2.3× 188 1.2× 127 1.2× 32 0.3× 17 0.4× 54 1.1k
Teresa Banaś Poland 15 280 1.3× 117 0.7× 97 0.9× 30 0.3× 30 0.7× 35 701
Eiichi Kano Japan 19 378 1.7× 369 2.4× 149 1.4× 63 0.6× 20 0.4× 72 1.1k
Heping Yan United States 15 322 1.5× 89 0.6× 35 0.3× 17 0.2× 152 3.3× 33 691
Qi Sun China 20 434 2.0× 100 0.6× 140 1.3× 48 0.5× 8 0.2× 71 1.1k
John A. Dickson United Kingdom 11 208 0.9× 174 1.1× 114 1.1× 56 0.5× 16 0.3× 17 561

Countries citing papers authored by Ying Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhan. A scholar is included among the top collaborators of Ying Zhan 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 Ying Zhan. Ying Zhan 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.
Zhan, Ying, Xiaoke Wang, Min Hui, et al.. (2025). VSV-CHIKV activates antitumor immunity by inducing pyroptosis in a melanoma model. Discover Oncology. 16(1). 943–943.
2.
Zhan, Ying, Ying Guo, Shasha Wang, et al.. (2025). SERPINB2 increases endothelial inflammation through augmented fatty acid oxidation to promote choroidal neovascularization. Experimental Eye Research. 259. 110524–110524.
3.
4.
He, Feng, Hongyun Zhang, Yuanjun Ma, et al.. (2024). Syndecan‐4 inhibition attenuates cartilage degeneration in temporomandibular joint osteoarthritis. Journal of Oral Rehabilitation. 51(11). 2324–2335. 3 indexed citations
5.
Yao, Zhaomin, Jiahao Liu, Songjie He, et al.. (2024). SIPSC-Kac: Integrating swarm intelligence and protein spatial characteristics for enhanced lysine acetylation site identification. International Journal of Biological Macromolecules. 282(Pt 5). 137237–137237.
6.
Samykutty, Abhilash, Molly McNally, Akiko Chiba, et al.. (2023). Simultaneous Detection of Multiple Tumor-targeted Gold Nanoparticles in HER2-Positive Breast Tumors Using Optoacoustic Imaging. Radiology Imaging Cancer. 5(3). e220180–e220180. 5 indexed citations
7.
Zhan, Ying, et al.. (2023). Exosome‐derived ANXA9 functions as an oncogene in breast cancer. The Journal of Pathology Clinical Research. 9(5). 378–390. 5 indexed citations
8.
Lu, Weisi, Peipei Xu, Jianing Zhang, et al.. (2022). PDGFD switches on stem cell endothelial commitment. Angiogenesis. 25(4). 517–533. 7 indexed citations
9.
Wang, Lidan, Linlin Chen, Xiangli Guo, et al.. (2022). Improved transfer efficiency of supercharged 36 + GFP protein mediate nucleic acid delivery. Drug Delivery. 29(1). 386–398. 14 indexed citations
10.
11.
Zhan, Ying, Wen Wang, Yang Yang, et al.. (2020). NS1-based DNA vaccination confers mouse protective immunity against ZIKV challenge. Infection Genetics and Evolution. 85. 104521–104521. 7 indexed citations
12.
13.
Zhan, Ying, Lu Cheng, Menghua Xiong, & Jianfang Zhang. (2018). Congenital adrenal hyperplasia due to cytochrome P450 oxidoreductase gene mutation: a case report. Zhonghua weichan yixue zazhi. 21(12). 825–829.
14.
Li, Chao, et al.. (2015). Association of Macrophage Migration Inhibitory Factor Polymorphisms with Gestational Diabetes Mellitus in Han Chinese Women. Gynecologic and Obstetric Investigation. 81(1). 84–89. 7 indexed citations
15.
Zhan, Ying, et al.. (2015). Association between macrophage migration inhibitory factor rs1007888 and GDM. Genetics and Molecular Research. 14(1). 797–804. 8 indexed citations
16.
Zhang, Yukun, Jian Li, Jianping Yang, Ying Zhan, & Jun Chen. (2015). Lung ultrasonography for the diagnosis of 11 patients with acute respiratory distress syndrome due to bird flu H7N9 infection. Virology Journal. 12(1). 176–176. 27 indexed citations
17.
Yan, Xiaosheng, Kun Wu, Yuan Yuan, et al.. (2013). β-Turn structure in glycinylphenylalanine dipeptide based N-amidothioureas. Chemical Communications. 49(79). 8943–8943. 26 indexed citations
18.
Zhan, Ying, Yuping Wang, Chao Li, Shiguo Liu, & Qun Gao. (2013). [Association between single nucleotide polymorphism of macrophage migration inhibitory factor-rs1007888 and the pathogenesis of gestational diabetes mellitus].. PubMed. 48(5). 326–9. 1 indexed citations
19.
Zhang, Yan, et al.. (2010). Role of store-operated calcium entry in imperatorin-induced vasodilatation of rat small mesenteric artery. European Journal of Pharmacology. 647(1-3). 126–131. 23 indexed citations
20.
Ye, Yuanhua, et al.. (2009). [Correlation of oxidized low-density lipoprotein and lectin-like oxidized low-density lipoprotein receptor-1 with pre-eclampsia].. PubMed. 44(2). 94–8. 3 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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