Jiye Cai

8.1k total citations · 1 hit paper
226 papers, 6.6k citations indexed

About

Jiye Cai is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Jiye Cai has authored 226 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 51 papers in Atomic and Molecular Physics, and Optics and 41 papers in Biomedical Engineering. Recurrent topics in Jiye Cai's work include Force Microscopy Techniques and Applications (39 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Lipid Membrane Structure and Behavior (21 papers). Jiye Cai is often cited by papers focused on Force Microscopy Techniques and Applications (39 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Lipid Membrane Structure and Behavior (21 papers). Jiye Cai collaborates with scholars based in China, United States and Macao. Jiye Cai's co-authors include Jiang Pi, Jinhuan Jiang, Hua Jin, Peihui Yang, Huaihong Cai, Fen Yang, Zheng W. Chen, Haihua Bai, Yangzhe Wu and Yong Chen and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and Blood.

In The Last Decade

Jiye Cai

223 papers receiving 6.5k citations

Hit Papers

The Advancing of Zinc Oxide Nanoparticles for Biomedical ... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiye Cai China 43 2.2k 1.4k 1.4k 771 558 226 6.6k
Eun Hye Lee South Korea 42 2.2k 1.0× 1.0k 0.8× 757 0.5× 1.0k 1.3× 464 0.8× 421 7.3k
Fan Huang China 42 1.9k 0.8× 1.8k 1.3× 1.1k 0.8× 1.3k 1.7× 247 0.4× 201 5.3k
Yang Luo China 46 3.2k 1.4× 2.4k 1.7× 1.5k 1.1× 442 0.6× 181 0.3× 238 7.5k
Sai Li China 42 2.1k 0.9× 722 0.5× 777 0.6× 500 0.6× 236 0.4× 192 6.0k
Hiroshi Maéda Japan 55 5.1k 2.3× 795 0.6× 638 0.5× 588 0.8× 462 0.8× 451 11.9k
Liping Sun China 42 2.9k 1.3× 2.5k 1.8× 1.4k 1.0× 1.2k 1.6× 380 0.7× 188 7.7k
Reinhard H.H. Neubert Germany 52 3.3k 1.4× 1.2k 0.9× 586 0.4× 689 0.9× 186 0.3× 346 10.7k
Frank Stahl Germany 43 2.3k 1.0× 1.2k 0.8× 683 0.5× 485 0.6× 380 0.7× 143 6.1k
Gerardino D’Errico Italy 41 1.6k 0.7× 731 0.5× 1.1k 0.8× 906 1.2× 263 0.5× 219 5.8k
Yoshiyuki Hattori Japan 60 4.2k 1.9× 1.2k 0.9× 2.8k 2.0× 932 1.2× 205 0.4× 349 11.9k

Countries citing papers authored by Jiye Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jiye Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiye Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jiye Cai. A scholar is included among the top collaborators of Jiye Cai 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 Jiye Cai. Jiye Cai 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
2.
Li, Dawei, Min Yan, Xiaoying Liu, et al.. (2025). The diversity and disparity of mineral elements in global kiwifruits. Food Research International. 203. 115844–115844. 2 indexed citations
3.
Chen, Weiling, Yi-Cheng Chen, Lishan Chen, et al.. (2025). UPLC-Q-Exactive/MS–based metabonomics revealed protective effect of Citri Sarcodactylis and its product on gastrointestinal motility disorders. Journal of Pharmaceutical and Biomedical Analysis. 269. 117247–117247.
4.
Huang, Xueqin, Huaihong Cai, Haibo Zhou, et al.. (2020). Cobalt oxide nanoparticle-synergized protein degradation and phototherapy for enhanced anticancer therapeutics. Acta Biomaterialia. 121. 605–620. 57 indexed citations
5.
Jiang, Jinhuan, Jiang Pi, Hua Jin, Fen Yang, & Jiye Cai. (2018). Chinese herb medicine matrine induce apoptosis in human esophageal squamous cancer KYSE-150 cells through increasing reactive oxygen species and inhibiting mitochondrial function. Pathology - Research and Practice. 214(5). 691–699. 33 indexed citations
6.
Jin, Hua, Jiang Pi, Yue Zhao, et al.. (2017). EGFR-targeting PLGA-PEG nanoparticles as a curcumin delivery system for breast cancer therapy. Nanoscale. 9(42). 16365–16374. 100 indexed citations
7.
Pi, Jiang, Baole Li, Haiyan Zhu, et al.. (2015). Investigation of quercetin‐induced HepG2 cell apoptosis‐associated cellular biophysical alterations by atomic force microscopy. Scanning. 38(2). 100–112. 36 indexed citations
8.
Zhang, Xi, et al.. (2014). A novel strategy for real-time and in situ detection of cytochrome c and caspase-9 in Hela cells during apoptosis. The Analyst. 139(10). 2499–2499. 37 indexed citations
9.
Ouyang, Dong‐Yun, Lihui Xu, Xian‐Hui He, et al.. (2012). Autophagy is differentially induced in prostate cancer LNCaP, DU145 and PC-3 cells via distinct splicing profiles of ATG5. Autophagy. 9(1). 20–32. 92 indexed citations
10.
Xie, Weiling, et al.. (2012). Hydroxyl radical scavenging mechanism of human erythrocytes by quercetin–germanium (IV) complex. European Journal of Pharmaceutical Sciences. 47(1). 28–34. 16 indexed citations
11.
Qiu, Yueqin, Jianbo Chen, Yan Zhang, et al.. (2012). Tim-3-Expressing CD4+ and CD8+ T Cells in Human Tuberculosis (TB) Exhibit Polarized Effector Memory Phenotypes and Stronger Anti-TB Effector Functions. PLoS Pathogens. 8(11). e1002984–e1002984. 86 indexed citations
13.
Shi, Qiping, Simin Luo, Hua Jin, et al.. (2012). Insulin-producing cells from human adipose tissue-derived mesenchymal stem cells detected by atomic force microscope. Applied Microbiology and Biotechnology. 94(2). 479–486. 6 indexed citations
14.
Chen, Jianan, Xiaoping Wang, Shuyuan Ma, et al.. (2009). AFM‐ and NSOM‐based force spectroscopy and distribution analysis of CD69 molecules on human CD4+ T cell membrane. Journal of Molecular Recognition. 22(6). 516–520. 11 indexed citations
16.
Cai, Xiaofang, Shijun Gao, Jiye Cai, Yangzhe Wu, & Hua Deng. (2009). Artesunate induced morphological and mechanical changes of Jurkat cell studied by AFM. Scanning. 31(2). 83–89. 39 indexed citations
17.
Wang, Xiaoping, Dongmei He, Jiye Cai, et al.. (2008). WGA-QD probe-based AFM detects WGA-binding sites on cell surface and WGA-induced rigidity alternation. Biochemical and Biophysical Research Communications. 379(2). 335–340. 5 indexed citations
18.
Wang, Xiaoping, Tongsheng Chen, Lei Sun, et al.. (2008). Live morphological analysis of taxol-induced cytoplasmic vacuoliazation in human lung adenocarcinoma cells. Micron. 39(8). 1216–1221. 14 indexed citations
19.
Truesdale, Kimberly P., J. Stevens, & Jiye Cai. (2007). Nine-Year Changes in Cardiovascular Disease Risk Factors with Weight Maintenance in the Atherosclerosis Risk in Communities Cohort. American Journal of Epidemiology. 165(8). 890–900. 14 indexed citations
20.
Chen, Yong, et al.. (2004). Research on double‐probe, double‐ and triple‐tip effects during atomic force microscopy scanning. Scanning. 26(4). 155–161. 12 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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