Na Shi

1.4k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Na Shi is a scholar working on Molecular Biology, Infectious Diseases and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Na Shi has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Na Shi's work include Water Treatment and Disinfection (3 papers), Gut microbiota and health (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Na Shi is often cited by papers focused on Water Treatment and Disinfection (3 papers), Gut microbiota and health (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Na Shi collaborates with scholars based in China and United States. Na Shi's co-authors include Haitao Niu, Na Li, Xinwang Duan, Yingxue Sun, Hong‐Ying Hu, Fang Tang, John C. Crittenden, Lijuan Sun, Mengtao Li and Dandan Izabel‐Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Na Shi

18 papers receiving 1.1k citations

Hit Papers

Interaction between the gut microbiome and mucosal immune... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Shi China 9 550 158 147 136 109 18 1.1k
Gulshan Singh India 21 672 1.2× 240 1.5× 118 0.8× 84 0.6× 170 1.6× 55 1.8k
Shuai Liu China 23 555 1.0× 97 0.6× 47 0.3× 119 0.9× 95 0.9× 137 1.8k
Scott Maxwell Australia 14 256 0.5× 58 0.4× 87 0.6× 64 0.5× 51 0.5× 34 1.2k
Chunfang Zhang China 17 1.3k 2.4× 153 1.0× 150 1.0× 487 3.6× 86 0.8× 37 1.9k
Jason Koval United States 13 627 1.1× 266 1.7× 47 0.3× 106 0.8× 43 0.4× 20 1.3k
Kim De Paepe Belgium 20 690 1.3× 118 0.7× 55 0.4× 207 1.5× 84 0.8× 35 1.3k
Y. Watanabe Japan 21 939 1.7× 154 1.0× 64 0.4× 232 1.7× 88 0.8× 42 1.8k
Varsha Gupta India 17 308 0.6× 80 0.5× 45 0.3× 64 0.5× 81 0.7× 102 1.4k
Jaishree Paul India 23 482 0.9× 432 2.7× 94 0.6× 41 0.3× 73 0.7× 55 1.4k
Tineke H. Jones Canada 30 338 0.6× 398 2.5× 139 0.9× 89 0.7× 87 0.8× 74 2.1k

Countries citing papers authored by Na Shi

Since Specialization
Citations

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

Fields of papers citing papers by Na Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Na Shi. A scholar is included among the top collaborators of Na Shi 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 Shi. Na Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Chen, Honglei, et al.. (2025). In vitro Antibacterial Effect of Reduning Combined with Polymyxin on Carbapenem Resistant Klebsiella pneumoniae. Infection and Drug Resistance. Volume 18. 227–237. 1 indexed citations
2.
Li, Fei, Lu Li, Na Shi, et al.. (2023). Isolation, characterization and genomic analysis of a novel phage IME178 with lytic activity against Escherichia coli. Microbial Pathogenesis. 179. 106099–106099. 7 indexed citations
3.
Shi, Na, Kang Sun, Haiying Tang, & Jingwei Mao. (2023). The impact and role of identified long noncoding RNAs in nonalcoholic fatty liver disease: A narrative review. Journal of Clinical Laboratory Analysis. 37(11-12). e24943–e24943. 5 indexed citations
4.
Shi, Na, Qing‐Chuan Zheng, & Hong‐Xing Zhang. (2022). Molecular Basis of the Recognition of Cholesterol by Cytochrome P450 46A1 along the Major Access Tunnel. ACS Chemical Neuroscience. 13(10). 1526–1533. 5 indexed citations
5.
Nazir, Amina, Na Shi, Qiang Feng, et al.. (2022). Characterization and Genomic Analysis of a Novel Drexlervirial Bacteriophage IME268 with Lytic Activity Against Klebsiella pneumoniae. Infection and Drug Resistance. Volume 15. 1533–1546. 15 indexed citations
6.
Shi, Na, et al.. (2022). A direct approach toward investigating DNA–ligand interactions via surface-enhanced Raman spectroscopy combined with molecular dynamics simulations. Physical Chemistry Chemical Physics. 25(3). 2153–2160. 4 indexed citations
7.
Liu, Honghong, Ran Tian, Hui Wang, et al.. (2020). Gut microbiota from coronary artery disease patients contributes to vascular dysfunction in mice by regulating bile acid metabolism and immune activation. Journal of Translational Medicine. 18(1). 382–382. 49 indexed citations
8.
Shi, Na, et al.. (2020). Evaluation of solar light inactivation on multidrug-resistant Escherichia coli CGMCC 1.1595. Water Science & Technology Water Supply. 20(6). 2216–2225. 1 indexed citations
9.
Shi, Na, Shuangyue Zhang, Gregg J. Silverman, et al.. (2019). Protective effect of hydroxychloroquine on rheumatoid arthritis‐associated atherosclerosis. SHILAP Revista de lepidopterología. 2(2). 98–106. 38 indexed citations
10.
Li, Liying, Kewei Zhang, & Na Shi. (2017). Effects of the traditional Chinese auricular point therapy combined with relaxation training on patients with hypertension and anxiety. Biomedical Research-tokyo. 28(12). 5224–5228. 6 indexed citations
11.
Shi, Na, Na Li, Xinwang Duan, & Haitao Niu. (2017). Interaction between the gut microbiome and mucosal immune system. Military Medical Research. 4(1). 14–14. 690 indexed citations breakdown →
12.
Yang, Zhe, Yingxue Sun, Tao Ye, et al.. (2016). Characterization of trihalomethane, haloacetic acid, and haloacetonitrile precursors in a seawater reverse osmosis system. The Science of The Total Environment. 576. 391–397. 30 indexed citations
13.
Sun, Yingxue, Dandan Izabel‐Shen, Xiaoli Zhou, Na Shi, & Tian Yuan. (2016). Microbial diversity and community structure of denitrifying biological filters operated with different carbon sources. SpringerPlus. 5(1). 1752–1752. 43 indexed citations
14.
Tang, Fang, Hong‐Ying Hu, Lijuan Sun, et al.. (2015). Fouling characteristics of reverse osmosis membranes at different positions of a full-scale plant for municipal wastewater reclamation. Water Research. 90. 329–336. 130 indexed citations
15.
Ma, Yiyangzi, Na Shi, Mengtao Li, Fei Chen, & Haitao Niu. (2015). Applications of Next-Generation Sequencing in Systemic Autoimmune Diseases. Genomics Proteomics & Bioinformatics. 13(4). 242–249. 27 indexed citations
16.
Li, Guangxing, Na Shi, Siqingaowa Suo, et al.. (2011). Vaccination of Mice with ORF5 Plasmid DNA of PRRSV; Enhanced Effects by Co-immunizing with Porcine IL-15. Immunological Investigations. 41(3). 231–248. 15 indexed citations
17.
18.
Zhang, Zheng & Na Shi. (2010). A Framework for a logistics platform including forward and reverse logistics. 361–365. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026