Lidan Wu

2.4k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Lidan Wu is a scholar working on Biomedical Engineering, Molecular Biology and Physiology. According to data from OpenAlex, Lidan Wu has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Lidan Wu's work include Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Alzheimer's disease research and treatments (5 papers). Lidan Wu is often cited by papers focused on Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers) and Alzheimer's disease research and treatments (5 papers). Lidan Wu collaborates with scholars based in United States, China and Singapore. Lidan Wu's co-authors include Jongyoon Han, Ali Asgar S. Bhagat, Majid Ebrahimi Warkiani, Andy Tay, Guofeng Guan, Chwee Teck Lim, Bee Luan Khoo, Han Wei Hou, Chong Jin Ong and Peter C. Y. Chen and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Cancer Research.

In The Last Decade

Lidan Wu

19 papers receiving 1.2k citations

Hit Papers

Ultra-fast, label-free isolation of circulating tumor cel... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Lidan Wu
Iulia M. Lazar United States
Seungjeong Song South Korea
James McGinty United Kingdom
Silas J. Leavesley United States
Iulia M. Lazar United States
Lidan Wu
Citations per year, relative to Lidan Wu Lidan Wu (= 1×) peers Iulia M. Lazar

Countries citing papers authored by Lidan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lidan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lidan Wu. A scholar is included among the top collaborators of Lidan Wu 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 Lidan Wu. Lidan Wu 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.
Feng, Jie, Zhiheng Li, Qianqian Liu, et al.. (2025). Antibiotic-induced perturbations in C–N metabolic networks, and associated gene pathways in soybean (Glycine max) seedlings. Journal of Hazardous Materials. 497. 139684–139684. 1 indexed citations
2.
Wu, Lidan. (2025). The role of nodes in controlling and observing complex networks. PLoS ONE. 20(6). e0325824–e0325824.
3.
Wu, Lidan, Joseph Beechem, & Patrick Danaher. (2025). Using transcripts to refine image based cell segmentation with FastReseg. Scientific Reports. 15(1). 30508–30508.
4.
Danaher, Patrick, Lidan Wu, Michael J. Patrick, et al.. (2025). InSituCor: exploring spatially correlated genes conditional on the cell type landscape. Genome biology. 26(1). 105–105.
5.
Li, Lingxiao, Yixin Wang, Lidan Wu, et al.. (2024). S patial CTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. Journal of Computational Biology. 31(9). 871–885. 4 indexed citations
6.
Reeves, Jason, Patrick Danaher, Erin Piazza, et al.. (2023). Abstract 5637: Path to the holy grail of spatial biology: Spatial single-cell whole transcriptomes using 6000-plex spatial molecular imaging on FFPE tissue. Cancer Research. 83(7_Supplement). 5637–5637. 6 indexed citations
7.
Wu, Lidan, Wenjie Jiang, Na Zhao, & Fengshan Wang. (2022). Heparan sulfate from porcine mucosa promotes amyloid-beta clearance in APP/PS1 mice and alleviates Alzheimer's pathology. Carbohydrate Polymers. 285. 119205–119205. 9 indexed citations
8.
Wu, Lidan, Na Zhao, Wenjie Jiang, & Fengshan Wang. (2022). Effects of heparan sulfate from porcine mucosa on Aβ1–42-induced neurotoxicity in vitro and in vivo. International Journal of Biological Macromolecules. 206. 823–836. 1 indexed citations
9.
Zhou, Ying, Lidan Wu, Zu‐Yi Li, et al.. (2022). Enhanced Stability and Function of Probiotic Streptococcus thermophilus with Self-Encapsulation by Increasing the Biosynthesis of Hyaluronan. ACS Applied Materials & Interfaces. 14(38). 42963–42975. 8 indexed citations
10.
Zhao, Na, Lidan Wu, Xinke Zhang, Wenjie Jiang, & Fengshan Wang. (2021). Low molecular weight chondroitin sulfate ameliorates pathological changes in 5XFAD mice by improving various functions in the brain. Neuropharmacology. 199. 108796–108796. 14 indexed citations
11.
Xu, Mengjie, Yan Dong, Tingxu Yan, et al.. (2016). Schisantherin B ameliorates Aβ 1–42 -induced cognitive decline via restoration of GLT-1 in a mouse model of Alzheimer's disease. Physiology & Behavior. 167. 265–273. 31 indexed citations
12.
Jing, Tengyang, et al.. (2016). Single Cell Analysis of Leukocyte Protease Activity Using Integrated Continuous-Flow Microfluidics. Analytical Chemistry. 88(23). 11750–11757. 25 indexed citations
13.
Hou, Han Wei, Lidan Wu, Miguel Pinilla-Vera, et al.. (2016). Broad spectrum immunomodulation using biomimetic blood cell margination for sepsis therapy. Lab on a Chip. 16(4). 688–699. 21 indexed citations
14.
Warkiani, Majid Ebrahimi, Bee Luan Khoo, Lidan Wu, et al.. (2015). Ultra-fast, label-free isolation of circulating tumor cells from blood using spiral microfluidics. Nature Protocols. 11(1). 134–148. 450 indexed citations breakdown →
15.
Wu, Lidan, et al.. (2015). High-throughput protease activity cytometry reveals dose-dependent heterogeneity in PMA-mediated ADAM17 activation. Integrative Biology. 7(5). 513–524. 12 indexed citations
16.
Warkiani, Majid Ebrahimi, Lidan Wu, Andy Tay, & Jongyoon Han. (2015). Large-Volume Microfluidic Cell Sorting for Biomedical Applications. Annual Review of Biomedical Engineering. 17(1). 1–34. 91 indexed citations
17.
Guo, Yugang, Rui Li, Chenguang Wang, et al.. (2014). The Expression and Characterization of Functionally Active Soluble CD83 by Pichia pastoris Using High-Density Fermentation. PLoS ONE. 9(2). e89264–e89264. 12 indexed citations
18.
Guan, Guofeng, Lidan Wu, Ali Asgar S. Bhagat, et al.. (2013). Spiral microchannel with rectangular and trapezoidal cross-sections for size based particle separation. Scientific Reports. 3(1). 1475–1475. 236 indexed citations
19.
Song, Yong‐Ak, Lidan Wu, Steven R. Tannenbaum, John S. Wishnok, & Jongyoon Han. (2013). Tunable Membranes for Free-Flow Zone Electrophoresis in PDMS Microchip Using Guided Self-Assembly of Silica Microbeads. Analytical Chemistry. 85(24). 11695–11699. 16 indexed citations
20.
Shikotra, A, David F. Choy, Chandra Ohri, et al.. (2012). Increased expression of immunoreactive thymic stromal lymphopoetin in severe asthma. Journal of Allergy and Clinical Immunology.

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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