Yan Wu

9.3k total citations · 2 hit papers
105 papers, 3.9k citations indexed

About

Yan Wu is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Yan Wu has authored 105 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 33 papers in Epidemiology and 30 papers in Infectious Diseases. Recurrent topics in Yan Wu's work include SARS-CoV-2 and COVID-19 Research (16 papers), Influenza Virus Research Studies (15 papers) and Respiratory viral infections research (10 papers). Yan Wu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (16 papers), Influenza Virus Research Studies (15 papers) and Respiratory viral infections research (10 papers). Yan Wu collaborates with scholars based in China, United States and Japan. Yan Wu's co-authors include George F. Gao, Yi Shi, Scott Stawicki, Jianxun Qi, Marc Tessier‐Lavigne, Jasvinder K. Atwal, Carla J. Shatz, Ying Wu, Boris Tefsen and Cecilia Chiu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yan Wu

100 papers receiving 3.8k citations

Hit Papers

Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-... 2020 2026 2022 2024 2020 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease
    2020 392 citations Lifeng Fu, Fei Ye et al. Nature Communications profile →
  2. Calcium channel blocker amlodipine besylate therapy is associated with reduced case fatality rate of COVID-19 patients with hypertension
    2020 233 citations Yan Wu, Gengfu Xiao et al. Cell Discovery profile →

Peers

Yan Wu
Thottethodi Subrahmanya Keshava Prasad India
Sheng Li United States
Licia Tomei Italy
Tomozumi Imamichi United States
Yves Rouillé France
Tuula A. Nyman Finland
Susumu Kawamoto Japan
Massimo Santoro Italy
Hassan Y. Naim Germany
Maojun Yang China
Thottethodi Subrahmanya Keshava Prasad India
Yan Wu
Citations per year, relative to Yan Wu Yan Wu (= 1×) peers Thottethodi Subrahmanya Keshava Prasad

Countries citing papers authored by Yan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Wu. A scholar is included among the top collaborators of Yan 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 Yan Wu. Yan 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.
Wu, Yan, et al.. (2025). A Structural Voyage Toward the Landscape of Humoral and Cellular Immune Escapes of SARS‐CoV‐2. Immunological Reviews. 330(1). e70000–e70000. 1 indexed citations
2.
Zhang, Shufei, et al.. (2025). The Effects of Sampling Sites, Collection Time, and Refrigerated Storage Duration on Microbiota of Raw Milk From a Chinese Dairy Farm: An Exploratory Study. Journal of Food Protection. 88(6). 100504–100504. 3 indexed citations
3.
Wu, Yi, Xiaoying Jia, Xinghai Zhang, et al.. (2024). Boosting with Omicron-specific mRNA vaccine or historical SARS-CoV-2 vaccines elicits discriminating immune responses against Omicron variants. Acta Pharmaceutica Sinica B. 15(2). 947–962.
4.
Chang, Zhen, Junqing Sun, Gen Zhang, et al.. (2024). Bispecific antibodies targeting two glycoproteins on SFTSV exhibit synergistic neutralization and protection in a mouse model. Proceedings of the National Academy of Sciences. 121(24). 12 indexed citations
5.
6.
7.
Wu, Yan, Xiaoting Qiu, Chenyang Lu, et al.. (2023). Structural and Biochemical Characterization of Silver/Copper Binding by Dendrorhynchus zhejiangensis Ferritin. Polymers. 15(5). 1297–1297. 1 indexed citations
8.
Yang, Fan, Yan Wu, Jie Yang, et al.. (2023). Identification of tanshinone I as cap-dependent endonuclease inhibitor with broad-spectrum antiviral effect. Journal of Virology. 97(10). e0079623–e0079623. 6 indexed citations
9.
Ma, Huan, Xinghai Zhang, Peter H. Dube, et al.. (2022). Hetero-bivalent nanobodies provide broad-spectrum protection against SARS-CoV-2 variants of concern including Omicron. Cell Research. 32(9). 831–842. 26 indexed citations
10.
Bryden, Steven R., James I. Dunlop, Marieke Pingen, et al.. (2022). Exploration of immunological responses underpinning severe fever with thrombocytopenia syndrome virus infection reveals IL-6 as a therapeutic target in an immunocompromised mouse model. PNAS Nexus. 1(1). pgac024–pgac024. 12 indexed citations
11.
Zhang, Xinghai, Huajun Zhang, Tingting Li, et al.. (2022). A potent neutralizing antibody provides protection against SARS-CoV-2 Omicron and Delta variants via nasal delivery. Signal Transduction and Targeted Therapy. 7(1). 301–301. 10 indexed citations
12.
13.
Wu, Yan, Yan Liu, Chang Su, et al.. (2022). Structural and Functional Insights into the Roles of Potential Metal-Binding Sites in Apostichopus japonicus Ferritin. Polymers. 14(24). 5378–5378. 1 indexed citations
14.
Peng, Weiyu, Yajuan Feng, Shujie Liu, et al.. (2022). Oridonin Inhibits SARS‐CoV‐2 by Targeting Its 3C‐Like Protease. SHILAP Revista de lepidopterología. 2(6). 2100124–2100124. 22 indexed citations
15.
Wu, Yan, Xiaoting Qiu, Chang Su, et al.. (2022). Crystallographic characterization of a marine invertebrate ferritin from the sea cucumber Apostichopus japonicus. FEBS Open Bio. 12(3). 664–674. 10 indexed citations
16.
Su, Chang, Yan Wu, Qinqin Jiang, et al.. (2021). Structural comparison of two ferritins from the marine invertebrate Phascolosoma esculenta. FEBS Open Bio. 11(3). 793–803. 8 indexed citations
17.
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 →
18.
Jiang, Qinqin, Yan Wu, Xiaoting Qiu, et al.. (2020). Structure determination of ferritin from Dendrorhynchus zhejiangensis. Biochemical and Biophysical Research Communications. 531(2). 195–202. 8 indexed citations
19.
Cao, Yifei, Tiejun Li, Yi Zhang, et al.. (2020). Observation on the clinical effect of thunder-fire moxibustion combined with acupressure on ocular muscle spasm. Medicine. 99(33). e21586–e21586. 2 indexed citations
20.
Wu, Yan, Yuhai Bi, Christopher J. Vavricka, et al.. (2013). Characterization of two distinct neuraminidases from avian-origin human-infecting H7N9 influenza viruses. Cell Research. 23(12). 1347–1355. 77 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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