Kai Wu

2.4k total citations
102 papers, 1.7k citations indexed

About

Kai Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Kai Wu has authored 102 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 17 papers in Public Health, Environmental and Occupational Health and 14 papers in Surgery. Recurrent topics in Kai Wu's work include Malaria Research and Control (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Mosquito-borne diseases and control (8 papers). Kai Wu is often cited by papers focused on Malaria Research and Control (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Mosquito-borne diseases and control (8 papers). Kai Wu collaborates with scholars based in China, United States and Hong Kong. Kai Wu's co-authors include Leonard Katz, Loleta Chung, Christopher D. Reeves, W. Peter Revill, Laurence A. Lasky, Song Wu, Lin Zhang, Yanshu Qu, Haimei Chen and Jian Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kai Wu

99 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Wu China 23 1.1k 278 231 207 176 102 1.7k
Do‐Young Choi South Korea 22 1.4k 1.3× 532 1.9× 334 1.4× 153 0.7× 222 1.3× 54 2.3k
Alex Tonks United Kingdom 23 880 0.8× 194 0.7× 274 1.2× 220 1.1× 432 2.5× 51 2.2k
Rongzhen Xu China 28 1.2k 1.1× 358 1.3× 280 1.2× 365 1.8× 446 2.5× 87 2.5k
Wenjun Zhou China 28 1.4k 1.3× 406 1.5× 79 0.3× 163 0.8× 149 0.8× 81 2.2k
Yuan Tian China 27 1.5k 1.4× 197 0.7× 249 1.1× 173 0.8× 466 2.6× 85 2.6k
Lisa Lindqvist Australia 27 2.3k 2.2× 239 0.9× 135 0.6× 237 1.1× 520 3.0× 39 3.0k
Yue Zhou China 25 1.0k 0.9× 197 0.7× 188 0.8× 471 2.3× 293 1.7× 120 1.9k
Genshi Zhao United States 27 1.6k 1.5× 464 1.7× 149 0.6× 182 0.9× 135 0.8× 52 2.4k
Morten Luhr Norway 9 936 0.9× 173 0.6× 119 0.5× 119 0.6× 178 1.0× 12 1.9k
In Kwon Chung South Korea 33 1.7k 1.6× 153 0.6× 124 0.5× 235 1.1× 107 0.6× 102 2.7k

Countries citing papers authored by Kai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Wu. A scholar is included among the top collaborators of Kai 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 Kai Wu. Kai 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.
Liu, Weihao, Haoyang Zeng, Hong Yuan, et al.. (2025). CT-based AI framework leveraging multi-scale features for predicting pathological grade and Ki67 index in clear cell renal cell carcinoma: a multicenter study. Insights into Imaging. 16(1). 102–102. 1 indexed citations
2.
Li, Yuting, Yun Li, Long Liu, et al.. (2024). Rapid detection of mutations in the suspected piperaquine resistance gene E415G-exo in Plasmodium falciparum exonuclease via AS‒PCR and RAA with CRISPR/Cas12a. International Journal for Parasitology Drugs and Drug Resistance. 26. 100568–100568. 3 indexed citations
3.
Deng, Feilong, Yu‐Shan Huang, Desheng Li, et al.. (2024). A comprehensive analysis of antibiotic resistance genes in the giant panda gut. SHILAP Revista de lepidopterología. 3(1). e171–e171. 19 indexed citations
4.
Wu, Kai, et al.. (2024). Clinical diagnostic value of CRISPR-Cas13a-based molecular technology for tuberculosis. Irish Journal of Medical Science (1971 -). 193(6). 2889–2895. 1 indexed citations
5.
Wu, Kai, et al.. (2024). Diffusion kurtosis imaging‐based habitat analysis identifies high‐risk molecular subtypes and heterogeneity matching in diffuse gliomas. Annals of Clinical and Translational Neurology. 11(8). 2073–2087. 7 indexed citations
6.
Wang, Chengdong, Wenwen Deng, Zhi Huang, et al.. (2024). Nutrient Utilization and Gut Microbiota Composition in Giant Pandas of Different Age Groups. Animals. 14(16). 2324–2324. 1 indexed citations
7.
Zhang, Zhou, Xiaolong Cui, Chang Zeng, et al.. (2023). PETCH-DB: a Portal for Exploring Tissue-specific and Complex disease-associated 5-Hydroxymethylcytosines. Database. 2023. 4 indexed citations
8.
Fu, Minyue, et al.. (2023). An intelligent detection method for plasmodium based on self-supervised learning and attention mechanism. Frontiers in Medicine. 10. 1117192–1117192. 7 indexed citations
9.
Deng, Feilong, Chengdong Wang, Desheng Li, et al.. (2023). The unique gut microbiome of giant pandas involved in protein metabolism contributes to the host’s dietary adaption to bamboo. Microbiome. 11(1). 180–180. 27 indexed citations
10.
Wang, Shang, Yuqing Li, Zhong Li, et al.. (2022). Efficient gene editing through an intronic selection marker in cells. Cellular and Molecular Life Sciences. 79(2). 111–111. 5 indexed citations
11.
12.
Jiang, Tingting, Weijia Cheng, Yi Yao, et al.. (2020). Molecular surveillance of anti-malarial resistance Pfdhfr and Pfdhps polymorphisms in African and Southeast Asia Plasmodium falciparum imported parasites to Wuhan, China. Malaria Journal. 19(1). 434–434. 10 indexed citations
13.
Xiao, Fan, et al.. (2019). Inhibition of miR-22 promotes differentiation of osteoblasts and improves bone formation via the YWHAZ pathway in experimental mice. Archives of Medical Science. 16(6). 1419–1431. 7 indexed citations
14.
Xiong, Jiantuan, Ning Ding, Tingting Gao, et al.. (2018). Hypermethylation of endoplasmic reticulum disulfide oxidase 1α leads to trophoblast cell apoptosis through endoplasmic reticulum stress in preeclampsia. Journal of Cellular Biochemistry. 119(10). 8588–8599. 13 indexed citations
15.
Wu, Kai, Min Hu, Feixiang Xiang, et al.. (2017). Asiatic acid enhances survival of human AC16 cardiomyocytes under hypoxia by upregulating miR‐1290. IUBMB Life. 69(9). 660–667. 26 indexed citations
16.
Yang, Yan, et al.. (2016). [Mutations of Plasmodium falciparum Multidrug Resistance 1 Gene in Imported Plasmodium falciparum in Wuhan].. PubMed. 34(6). 489–92. 2 indexed citations
17.
Tang, Feng, Dai‐Wen Pang, Zhi Chen, et al.. (2016). Visual and efficient immunosensor technique for advancing biomedical applications of quantum dots on Salmonella detection and isolation. Nanoscale. 8(8). 4688–4698. 14 indexed citations
18.
Li, Jian, Jiang‐Tao Chen, Li‐Ye Yang, et al.. (2015). Molecular mutation profile of Pfcrt and Pfmdr1 in Plasmodium falciparum isolates from Bioko Island, Equatorial Guinea. Infection Genetics and Evolution. 36. 552–556. 22 indexed citations
19.
Lu, Yingying, et al.. (2008). Anti-tumor activity of erlotinib in the BxPC-3 pancreatic cancer cell line. World Journal of Gastroenterology. 14(35). 5403–5403. 16 indexed citations
20.
Cheng, Jill, Kai Wu, Mark Armanini, et al.. (1997). A Novel Protein-Tyrosine Phosphatase Related to the Homotypically Adhering κ and μ Receptors. Journal of Biological Chemistry. 272(11). 7264–7277. 78 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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