Zida Li

2.0k total citations · 1 hit paper
56 papers, 1.5k citations indexed

About

Zida Li is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Zida Li has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 23 papers in Molecular Biology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Zida Li's work include Innovative Microfluidic and Catalytic Techniques Innovation (16 papers), Biosensors and Analytical Detection (8 papers) and Pluripotent Stem Cells Research (8 papers). Zida Li is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (16 papers), Biosensors and Analytical Detection (8 papers) and Pluripotent Stem Cells Research (8 papers). Zida Li collaborates with scholars based in China, United States and Hong Kong. Zida Li's co-authors include Jianping Fu, Xufeng Xue, Yue Shao, Sze Yi Mak, Ho Cheung Shum, Alban Sauret, Deborah L. Gumucio, Sajedeh Nasr Esfahani, Yi Zheng and Johnathon N. Lakins and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Zida Li

52 papers receiving 1.5k citations

Hit Papers

Controlled modelling of human epiblast and amnion develop... 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
Zida Li China 21 737 613 237 144 142 56 1.5k
Kar Wey Yong Malaysia 23 945 1.3× 696 1.1× 106 0.4× 31 0.2× 34 0.2× 34 2.0k
Leonardo Barrios Spain 28 699 0.9× 962 1.6× 105 0.4× 44 0.3× 122 0.9× 107 2.5k
Xiaoyuan Huang China 24 295 0.4× 612 1.0× 91 0.4× 39 0.3× 100 0.7× 101 1.8k
Sajad Razavi Bazaz Australia 25 1.3k 1.8× 345 0.6× 295 1.2× 44 0.3× 21 0.1× 63 1.9k
Woo‐Young Sim South Korea 22 657 0.9× 505 0.8× 130 0.5× 35 0.2× 135 1.0× 104 2.1k
Stephanie Knowlton United States 20 1.7k 2.2× 322 0.5× 120 0.5× 60 0.4× 16 0.1× 26 1.9k
Navid Kashaninejad Australia 28 1.5k 2.1× 388 0.6× 505 2.1× 31 0.2× 17 0.1× 81 2.3k
Xianliang Huang China 20 231 0.3× 119 0.2× 326 1.4× 99 0.7× 51 0.4× 42 1.2k
Hiroshi Kimura Japan 19 1.1k 1.5× 428 0.7× 105 0.4× 254 1.8× 52 0.4× 85 1.8k
Lingyun Cheng United States 29 741 1.0× 548 0.9× 203 0.9× 9 0.1× 53 0.4× 126 3.4k

Countries citing papers authored by Zida Li

Since Specialization
Citations

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

Fields of papers citing papers by Zida Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zida Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zida Li. A scholar is included among the top collaborators of Zida Li 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 Zida Li. Zida Li 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.
Yao, Wei, et al.. (2025). Droplet digital PCR-based single aptamer selection. Talanta. 292. 127924–127924. 1 indexed citations
2.
Li, Zida & Jing‐Dong J. Han. (2024). Neural stem cells in aging. SHILAP Revista de lepidopterología. 9. 9–14. 1 indexed citations
3.
Li, Zida, et al.. (2024). Solute-particle separation in microfluidics enhanced by symmetrical convection. RSC Advances. 14(3). 1729–1740. 2 indexed citations
4.
Chai, Yujuan, et al.. (2024). Embracing Poisson Encapsulation Statistics for Improved Droplet Digital Immunoassay. Analytical Chemistry. 97(1). 444–453. 2 indexed citations
5.
Wang, Tao, et al.. (2024). Image-activated pico-injection for single-cell analysis. Talanta. 272. 125765–125765. 2 indexed citations
6.
Wang, Yi, et al.. (2024). StratoLAMP: Label-free, multiplex digital loop-mediated isothermal amplification based on visual stratification of precipitate. Proceedings of the National Academy of Sciences. 121(2). e2314030121–e2314030121. 13 indexed citations
7.
Li, Zida, et al.. (2023). Application Analysis of Artificial Intelligence Technology in Electrical Engineering Teaching. International Journal of Web-Based Learning and Teaching Technologies. 18(2). 1–12. 1 indexed citations
8.
Liu, Yang, Shiyu Wang, Weijin Guo, et al.. (2022). Droplet Microfluidics Enables Tracing of Target Cells at the Single-Cell Transcriptome Resolution. Bioengineering. 9(11). 674–674. 8 indexed citations
9.
Zhang, Yang, et al.. (2022). Bone-on-a-chip platforms and integrated biosensors: Towards advanced in vitro bone models with real-time biosensing. Biosensors and Bioelectronics. 219. 114798–114798. 19 indexed citations
10.
Wang, Shiyu, Yang Liu, Yijian Li, et al.. (2021). High-Throughput Functional Screening of Antigen-Specific T Cells Based on Droplet Microfluidics at a Single-Cell Level. Analytical Chemistry. 94(2). 918–926. 28 indexed citations
11.
Zhang, Guoliang, et al.. (2020). Emerging biosensing technologies for improved diagnostics of COVID-19 and future pandemics. Talanta. 225. 121986–121986. 41 indexed citations
12.
Li, Zida, et al.. (2019). Multiple splitting of droplets using multi-furcating microfluidic channels. Biomicrofluidics. 13(2). 24112–24112. 20 indexed citations
13.
Zheng, Yi, Xufeng Xue, Yue Shao, et al.. (2019). Controlled modelling of human epiblast and amnion development using stem cells. Nature. 573(7774). 421–425. 329 indexed citations breakdown →
14.
Yong, Koh Meng Aw, Zida Li, Sofía D. Merajver, & Jianping Fu. (2017). Tracking the tumor invasion front using long-term fluidic tumoroid culture. Scientific Reports. 7(1). 10784–10784. 26 indexed citations
15.
Liu, Yang, et al.. (2015). Systemic Administration of Anti-Angiopoietin-2 (Ang-2) Antibody Inhibits Matrigel Induced Choroidal Neovascularization (CNV) in Rats. Investigative Ophthalmology & Visual Science. 56(7). 2359–2359. 1 indexed citations
16.
Tian, Ruhui, et al.. (2014). Human germ cell secreting factor nodal regulates sertoli cell functions. Fertility and Sterility. 102(3). e355–e355. 2 indexed citations
17.
Li, Xiang, Weiqiang Chen, Zida Li, et al.. (2014). Emerging microengineered tools for functional analysis and phenotyping of blood cells. Trends in biotechnology. 32(11). 586–594. 19 indexed citations
18.
Tian, Ruhui, et al.. (2013). Beneficial effects of VEGF/VEGFR2 signaling in mouse testicular regeneration through facilitating vascularization. Fertility and Sterility. 100(3). S221–S221. 1 indexed citations
19.
Zhang, Feng, Chuncheng Lu, Zida Li, et al.. (2007). Partial deletions are associated with an increased risk of complete deletion in AZFc: a new insight into the role of partial AZFc deletions in male infertility. Journal of Medical Genetics. 44(7). 437–444. 78 indexed citations
20.
Zhang, Feng, Zida Li, Bo Wen, et al.. (2005). A Frequent Partial AZFc Deletion does not Render an Increased Risk of Spermatogenic Impairment in East Asians. Annals of Human Genetics. 70(3). 304–313. 44 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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