Yaoyu Feng

17.2k total citations · 6 hit papers
282 papers, 12.6k citations indexed

About

Yaoyu Feng is a scholar working on Parasitology, Infectious Diseases and Small Animals. According to data from OpenAlex, Yaoyu Feng has authored 282 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Parasitology, 143 papers in Infectious Diseases and 26 papers in Small Animals. Recurrent topics in Yaoyu Feng's work include Parasitic Infections and Diagnostics (200 papers), Amoebic Infections and Treatments (108 papers) and Viral gastroenteritis research and epidemiology (36 papers). Yaoyu Feng is often cited by papers focused on Parasitic Infections and Diagnostics (200 papers), Amoebic Infections and Treatments (108 papers) and Viral gastroenteritis research and epidemiology (36 papers). Yaoyu Feng collaborates with scholars based in China, United States and Australia. Yaoyu Feng's co-authors include Lihua Xiao, Xinhua Zhong, Na Li, Una Ryan, Yaqiong Guo, Wolfgang Knoll, Ming‐Yong Han, Dawn M. Roellig, Longxian Zhang and Wei Li and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yaoyu Feng

271 papers receiving 12.4k citations

Hit Papers

Zoonotic Potential and Molecular Epidemiology ofGiardiaS... 2003 2026 2010 2018 2011 2003 2018 2019 2021 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
Yaoyu Feng China 58 8.8k 5.9k 1.7k 1.1k 1.1k 282 12.6k
Xichen Zhang China 40 1.9k 0.2× 926 0.2× 218 0.1× 115 0.1× 316 0.3× 259 6.4k
Michael Heß Austria 47 709 0.1× 2.0k 0.3× 326 0.2× 120 0.1× 823 0.8× 280 8.5k
Nirbhay Singh India 26 1.1k 0.1× 546 0.1× 229 0.1× 345 0.3× 170 0.2× 161 2.6k
Paul Monis Australia 50 4.3k 0.5× 3.1k 0.5× 51 0.0× 35 0.0× 265 0.3× 130 7.5k
Javier Guitián United Kingdom 40 764 0.1× 947 0.2× 210 0.1× 97 0.1× 1.4k 1.3× 180 5.1k
Muhammad Ijaz Pakistan 24 574 0.1× 488 0.1× 458 0.3× 91 0.1× 381 0.4× 243 2.5k
Ze Chen China 33 1.2k 0.1× 1.3k 0.2× 258 0.1× 196 0.2× 29 0.0× 208 3.7k
Vivek Kapur United States 58 1.1k 0.1× 5.7k 1.0× 109 0.1× 69 0.1× 1.1k 1.0× 231 13.5k
Haruo Watanabe Japan 53 1.3k 0.1× 3.0k 0.5× 137 0.1× 64 0.1× 229 0.2× 382 10.1k
Gadi Borkow Israel 44 578 0.1× 1.8k 0.3× 1.1k 0.6× 103 0.1× 112 0.1× 131 6.5k

Countries citing papers authored by Yaoyu Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yaoyu Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyu Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoyu Feng. A scholar is included among the top collaborators of Yaoyu Feng 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 Yaoyu Feng. Yaoyu Feng 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.
Huang, Yue, Xiaoqing Gong, Na Li, et al.. (2025). Stage-specific expression and divergent functions of two insulinase-like proteases associated with host infectivity in Cryptosporidium. PLoS neglected tropical diseases. 19(1). e0012777–e0012777. 2 indexed citations
3.
Xu, Rui, Jieping Li, Wenjie Wu, et al.. (2025). Cryptosporidium exports a mucin glycoprotein into the microvilli of intestinal epithelium. Virulence. 16(1). 2553780–2553780.
4.
He, Wei, Yingying Fan, Ni Huang, et al.. (2025). Involvement of a variant secretory protein in virulence of emerging Cryptosporidium parvum subtypes. Virulence. 16(1). 2514077–2514077. 1 indexed citations
5.
Shen, Fei, et al.. (2025). Nb-FAR-1: A key developmental protein affects lipid droplet accumulation and cuticle formation in Nippostrongylus brasiliensis. PLoS neglected tropical diseases. 19(1). e0012769–e0012769. 1 indexed citations
6.
Feng, Yaoyu, et al.. (2025). Simultaneous prediction of porosity, saturation, and lithofacies from seismic data via multitask deep learning. Geophysics. 90(4). M135–M151. 2 indexed citations
7.
Xiao, Lihua, Yaoyu Feng, Amanda Ash, et al.. (2025). Cryptosporidium in cattle: Assessing the zoonotic risk. Current Research in Parasitology and Vector-Borne Diseases. 8. 100279–100279. 2 indexed citations
8.
Wang, Tianpeng, Qi Wang, Guohua Lou, et al.. (2025). The first draft genome of Cryptosporidium serpentis reveals metabolic divergence from intestinal Cryptosporidium species. International Journal for Parasitology. 56(1). 104710–104710. 1 indexed citations
9.
Xiao, Lihua, et al.. (2025). Update on transmission of zoonotic Giardia in cattle. Trends in Parasitology. 41(3). 210–221.
10.
He, Wei, Hao Cui, Na Li, et al.. (2024). Involvement of INS15 in the development and pathogenicity of the zoonotic pathogen Cryptosporidium parvum. PLoS neglected tropical diseases. 18(10). e0012569–e0012569. 4 indexed citations
11.
Chen, Xuehua, Nan Chen, Xiaohong Chen, et al.. (2024). Development of a PCR assay for detection and identification of Eimeria spp. in cattle. Veterinary Parasitology. 332. 110315–110315.
12.
Barbosa, Amanda, et al.. (2024). Zoonotic Cryptosporidium and Giardia in marsupials—an update. Parasitology Research. 123(1). 107–107. 4 indexed citations
13.
Li, Na, Yujin Huang, Weijian Wang, et al.. (2023). Longitudinal follow-up reveals occurrence of successive Cryptosporidium bovis and Cryptosporidium ryanae infections by different subtype families in dairy cattle. International Journal for Parasitology. 53(11-12). 651–661. 4 indexed citations
14.
Li, Na, et al.. (2023). High subtelomeric GC content in the genome of a zoonotic Cryptosporidium species. Microbial Genomics. 9(7). 3 indexed citations
15.
Cui, Jianmin, et al.. (2022). A Coccidia-Specific Phosphate Transporter Is Essential for the Growth of Toxoplasma gondii Parasites. Microbiology Spectrum. 10(5). e0218622–e0218622. 3 indexed citations
16.
Zhang, Qiang, Qian Shao, Yaqiong Guo, et al.. (2021). Characterization of Three Calcium-Dependent Protein Kinases of Cryptosporidium parvum. Frontiers in Microbiology. 11. 622203–622203. 5 indexed citations
17.
Zhang, Zhenjie, Jianguo Zhao, Martin Kváč, et al.. (2020). Common occurrence of divergent Cryptosporidium species and Cryptosporidium parvum subtypes in farmed bamboo rats (Rhizomys sinensis). Parasites & Vectors. 13(1). 149–149. 20 indexed citations
18.
Hakem, Ahcène, Haileeyesus Adamu, Said Amer, et al.. (2018). Zoonotic Cryptosporidium species and subtypes in lambs and goat kids in Algeria. Parasites & Vectors. 11(1). 582–582. 39 indexed citations
19.
Amer, Said, et al.. (2014). Preliminary Molecular Characterizations of Sarcoptes scaibiei (Acari: Sarcoptidae) from Farm Animals in Egypt. PLoS ONE. 9(4). e94705–e94705. 23 indexed citations
20.
Feng, Yaoyu, Seeram Ramakrishna, Thomas Yong, & Yanzhong Zhang. (2006). A Novel Biodegradable System Based on BSA/PCL Core-shell Structured Nanofibers for Controlled Drug Delivery. National University of Singapore. 2(2006). 377–380. 2 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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