Na Li

4.9k total citations
133 papers, 2.9k citations indexed

About

Na Li is a scholar working on Parasitology, Infectious Diseases and Small Animals. According to data from OpenAlex, Na Li has authored 133 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Parasitology, 78 papers in Infectious Diseases and 16 papers in Small Animals. Recurrent topics in Na Li's work include Parasitic Infections and Diagnostics (112 papers), Amoebic Infections and Treatments (59 papers) and Viral gastroenteritis research and epidemiology (19 papers). Na Li is often cited by papers focused on Parasitic Infections and Diagnostics (112 papers), Amoebic Infections and Treatments (59 papers) and Viral gastroenteritis research and epidemiology (19 papers). Na Li collaborates with scholars based in China, United States and Czechia. Na Li's co-authors include Yaoyu Feng, Lihua Xiao, Yaqiong Guo, Dawn M. Roellig, Liping Duan, Longxian Zhang, Kevin Tang, Martin Kváč, Lin Wang and Meijin Guo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Na Li

125 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Li China 31 2.7k 1.7k 341 315 117 133 2.9k
Meng Qi China 33 2.7k 1.0× 1.7k 1.0× 404 1.2× 428 1.4× 112 1.0× 141 3.0k
Fuchun Jian China 37 2.8k 1.0× 1.7k 1.0× 431 1.3× 470 1.5× 168 1.4× 113 3.1k
Rongjun Wang China 43 4.6k 1.7× 2.8k 1.6× 711 2.1× 627 2.0× 227 1.9× 149 4.9k
Nawal Hijjawi Jordan 21 1.8k 0.7× 1.2k 0.7× 151 0.4× 254 0.8× 145 1.2× 52 2.2k
Heidi L. Enemark Denmark 29 1.5k 0.5× 864 0.5× 711 2.1× 389 1.2× 92 0.8× 101 2.3k
Alireza Zahedi Australia 23 1.4k 0.5× 1.0k 0.6× 109 0.3× 119 0.4× 62 0.5× 44 1.6k
R.C.A. Thompson Australia 22 1.9k 0.7× 1.2k 0.7× 126 0.4× 90 0.3× 89 0.8× 30 2.1k
Isao Kimata Japan 24 1.5k 0.5× 824 0.5× 163 0.5× 247 0.8× 127 1.1× 75 1.7k
U.M. Morgan Australia 23 1.6k 0.6× 1.0k 0.6× 157 0.5× 223 0.7× 71 0.6× 32 1.7k
Karin Troell Sweden 21 1.0k 0.4× 652 0.4× 225 0.7× 110 0.3× 78 0.7× 51 1.4k

Countries citing papers authored by Na Li

Since Specialization
Citations

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

Fields of papers citing papers by Na Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Li

This figure shows the co-authorship network connecting the top 25 collaborators of Na Li. A scholar is included among the top collaborators of Na 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 Na Li. Na 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.
Ao, Yingfang, Jieping Li, Xiaoqing Gong, et al.. (2025). Cryptosporidium dense granule effector MUC5 interacts with host actin cytoskeleton through CD2AP. Microbiological Research. 300. 128284–128284. 1 indexed citations
2.
He, Wei, Tianpeng Wang, Na Li, et al.. (2025). SKSR1 identified as key virulence factor in Cryptosporidium by genetic crossing. Nature Communications. 16(1). 4694–4694. 2 indexed citations
3.
Li, Na, Zhaohui Cui, Lu‐Yang Wang, et al.. (2025). Secretome and Transcriptome Analyses Reveal New Potential Virulence Factors during Cryptosporidium parvum Invasion. Journal of Proteome Research. 24(11). 5830–5841.
4.
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
5.
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.
6.
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
7.
Chen, Haoyu, et al.. (2024). Stable expression of mucin glycoproteins GP40 and GP15 of Cryptosporidium parvum in Toxoplasma gondii. Parasites & Vectors. 17(1). 65–65. 1 indexed citations
8.
He, Wei, Yue Huang, Huimin Liu, et al.. (2024). Multicopy subtelomeric genes underlie animal infectivity of divergent Cryptosporidium hominis subtypes. Nature Communications. 15(1). 10774–10774. 3 indexed citations
10.
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
11.
Wang, Luyang, Na Li, Yuexin Wang, et al.. (2023). Comparative proteomics reveals Cryptosporidium parvum infection disrupts cellular barriers. Journal of Proteomics. 287. 104969–104969. 4 indexed citations
12.
Chen, Haoyu, Mingming Huang, Na Li, et al.. (2023). Cryptosporidium equi n. sp. (Apicomplexa: Cryptosporidiidae): Biological and genetic characterisations. International Journal for Parasitology. 53(10). 545–554. 23 indexed citations
13.
Guo, Yaqiong, Dawn M. Roellig, Na Li, et al.. (2022). Sympatric Recombination in Zoonotic Cryptosporidium Leads to Emergence of Populations with Modified Host Preference. Molecular Biology and Evolution. 39(7). 21 indexed citations
14.
Wang, Wenguang, Dexuan Kuang, Caixia Lü, et al.. (2021). First report of Schistosoma sinensium infecting Tupaia belangeri and Tricula sp. LF. International Journal for Parasitology Parasites and Wildlife. 14. 84–90. 2 indexed citations
15.
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
16.
Wang, Lixia, Chengcheng Ning, Chunhui Ji, et al.. (2020). Detection and Genetic Characteristics of Bovine leukaemia virus in Holstein Cows in China. International Journal of Agriculture and Biology. 25(1). 1 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.
Zhu, Kexin, Na Li, Yaqiong Guo, et al.. (2019). Genetic characterization of Cryptosporidium spp. and Giardia duodenalis in dogs and cats in Guangdong, China. Parasites & Vectors. 12(1). 571–571. 36 indexed citations
19.
Wang, Yuanfei, Na Li, Yaqiong Guo, et al.. (2018). Persistent Occurrence of Cryptosporidium hominis and Giardia duodenalis Subtypes in a Welfare Institute. Frontiers in Microbiology. 9. 2830–2830. 15 indexed citations
20.
Feng, Yaoyu, et al.. (2010). Subtypes of Cryptosporidium spp. in mice and other small mammals. Experimental Parasitology. 127(1). 238–242. 54 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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