Peihua Niu

51.4k total citations · 5 hit papers
38 papers, 23.4k citations indexed

About

Peihua Niu is a scholar working on Infectious Diseases, Ecology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peihua Niu has authored 38 papers receiving a total of 23.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 9 papers in Ecology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peihua Niu's work include SARS-CoV-2 and COVID-19 Research (17 papers), Viral gastroenteritis research and epidemiology (14 papers) and Bacteriophages and microbial interactions (9 papers). Peihua Niu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), Viral gastroenteritis research and epidemiology (14 papers) and Bacteriophages and microbial interactions (9 papers). Peihua Niu collaborates with scholars based in China, Taiwan and United States. Peihua Niu's co-authors include Wenjie Tan, Baoying Huang, Roujian Lu, George F. Gao, Xuejun Ma, Wen‐Ching Wang, Xiang Zhao, Guizhen Wu, Wenbo Xu and Jingdong Song and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and Clinical Infectious Diseases.

In The Last Decade

Peihua Niu

33 papers receiving 22.8k citations

Hit Papers

A Novel Coronavirus from Patients with Pneumonia in China... 2020 2026 2022 2024 2020 2020 2020 2020 2020 5.0k 10.0k 15.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peihua Niu China 14 15.2k 4.1k 2.6k 2.5k 2.2k 38 23.4k
Baoying Huang China 30 15.8k 1.0× 4.2k 1.0× 2.7k 1.0× 3.0k 1.2× 2.1k 1.0× 106 25.0k
Roujian Lu China 23 15.9k 1.0× 4.3k 1.0× 3.1k 1.2× 2.5k 1.0× 2.2k 1.0× 53 25.1k
Dingyu Zhang China 13 12.4k 0.8× 3.7k 0.9× 2.6k 1.0× 2.3k 0.9× 2.0k 0.9× 43 20.4k
Xuejun Ma China 29 13.1k 0.9× 3.4k 0.8× 2.5k 0.9× 2.4k 1.0× 2.1k 0.9× 138 21.4k
Guizhen Wu China 21 15.2k 1.0× 3.9k 1.0× 3.1k 1.2× 2.2k 0.9× 2.5k 1.1× 75 24.3k
Jingdong Song China 22 12.6k 0.8× 3.4k 0.8× 2.5k 1.0× 2.0k 0.8× 2.0k 0.9× 99 20.5k
Bo Yang China 31 15.1k 1.0× 5.4k 1.3× 3.5k 1.3× 2.9k 1.1× 2.0k 0.9× 200 25.4k
Na Zhu China 36 12.1k 0.8× 3.4k 0.8× 2.5k 0.9× 1.9k 0.8× 2.0k 0.9× 101 22.3k
Wenbo Xu China 18 12.2k 0.8× 3.3k 0.8× 2.5k 0.9× 1.9k 0.8× 2.0k 0.9× 72 19.7k
Weifeng Shi China 39 15.4k 1.0× 3.6k 0.9× 2.6k 1.0× 2.9k 1.2× 2.4k 1.1× 212 25.7k

Countries citing papers authored by Peihua Niu

Since Specialization
Citations

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

Fields of papers citing papers by Peihua Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihua Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Peihua Niu. A scholar is included among the top collaborators of Peihua Niu 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 Peihua Niu. Peihua Niu 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.
Niu, Peihua, Li Li, Yongjie Wang, et al.. (2025). Highly Efficient Broadband NIR Phosphor Ca3ZrNbGa3O12: Cr3+, Yb3+ in pc‐LED Applications. Carbon Neutralization. 4(4).
2.
Zhao, Xiang, Zhixiao Chen, Lili Li, et al.. (2024). Prevalence and diversity of imported severe acute respiratory syndrome coronavirus 2 variants in China, 2021–2022. Journal of Medical Virology. 96(5). e29664–e29664.
3.
Niu, Peihua, et al.. (2023). Genotyping and traceability analysis of norovirus in Yantai between 2017 and 2019. Journal of Medical Virology. 95(11). e29220–e29220. 2 indexed citations
4.
Chen, Cao, Zhixiao Chen, Ying Xia, et al.. (2022). SARS‐CoV‐2 cold‐chain transmission: Characteristics, risks, and strategies. Journal of Medical Virology. 94(8). 3540–3547. 20 indexed citations
5.
Zhang, Yuwei, Zimo Liu, Juan Liu, et al.. (2022). Analysis of the Transmission of SARS-CoV-2 Delta VOC in Yantai, China, August 2021. Frontiers in Medicine. 9. 842719–842719.
7.
Niu, Peihua, et al.. (2022). Detection and Genetic Correlation Analysis of Diarrhea Cases and Norovirus in Oysters in Yantai, China. Frontiers in Public Health. 10. 819890–819890. 4 indexed citations
8.
Fu, Lifeng, Shuai Shao, Yong Feng, et al.. (2021). Mechanism of Microbial Metabolite Leupeptin in the Treatment of COVID-19 by Traditional Chinese Medicine Herbs. mBio. 12(5). e0222021–e0222021. 25 indexed citations
9.
Zhu, Na, Dingyu Zhang, Wen‐Ching Wang, et al.. (2020). A Novel Coronavirus from Patients with Pneumonia in China, 2019. New England Journal of Medicine. 382(8). 727–733. 18577 indexed citations breakdown →
10.
Yang, Jing, Peihua Niu, Lijuan Chen, et al.. (2020). Genetic tracing of HCoV-19 for the re-emerging outbreak of COVID-19 in Beijing, China. Protein & Cell. 12(1). 4–6. 9 indexed citations
11.
Niu, Peihua, Roujian Lu, Li Zhao, et al.. (2020). Three Novel Real-Time RT-PCR Assays for Detection of COVID-19 Virus. China CDC Weekly. 2(25). 453–457. 33 indexed citations
12.
Chen, Jing, Yawei Zhang, Peihua Niu, et al.. (2020). Effects of sample processing modes on high-throughput sequencing of coronavirus whole genome. Zhonghua weishengwuxue he mianyixue zazhi. 40(2). 103–109. 1 indexed citations
13.
Fu, Lifeng, Fei Ye, Yong Feng, et al.. (2020). Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease. Nature Communications. 11(1). 4417–4417. 392 indexed citations breakdown →
14.
Yao, Xueting, Fei Ye, Miao Zhang, et al.. (2020). In Vitro Antiviral Activity and Projection of Optimized Dosing Design of Hydroxychloroquine for the Treatment of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Clinical Infectious Diseases. 71(15). 732–739. 1855 indexed citations breakdown →
15.
Niu, Peihua, Xiang Zhao, Yang Pan, et al.. (2020). Reemergent Cases of COVID-19 — Xinfadi Wholesales Market, Beijing Municipality, China, June 11, 2020. China CDC Weekly. 2(27). 502–504. 26 indexed citations
16.
Wang, Wen‐Ching, Tianyu Wang, Yao Deng, et al.. (2019). A novel luciferase immunosorbent assay performs better than a commercial enzyme-linked immunosorbent assay to detect MERS-CoV specific IgG in humans and animals. Biosafety and Health. 1(3). 134–143. 8 indexed citations
18.
Yang, Li, Hao Wang, Kai Nie, et al.. (2016). VIP: an integrated pipeline for metagenomics of virus identification and discovery. Scientific Reports. 6(1). 23774–23774. 74 indexed citations
20.
Wang, Ji, Ziqian Xu, Peihua Niu, et al.. (2014). A Two-Tube Multiplex Reverse Transcription PCR Assay for Simultaneous Detection of Viral and Bacterial Pathogens of Infectious Diarrhea. BioMed Research International. 2014. 1–9. 19 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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