Nanping Wu

5.3k total citations · 1 hit paper
166 papers, 2.7k citations indexed

About

Nanping Wu is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Nanping Wu has authored 166 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Epidemiology, 74 papers in Infectious Diseases and 46 papers in Agronomy and Crop Science. Recurrent topics in Nanping Wu's work include Influenza Virus Research Studies (67 papers), Animal Disease Management and Epidemiology (46 papers) and HIV Research and Treatment (34 papers). Nanping Wu is often cited by papers focused on Influenza Virus Research Studies (67 papers), Animal Disease Management and Epidemiology (46 papers) and HIV Research and Treatment (34 papers). Nanping Wu collaborates with scholars based in China, United States and Germany. Nanping Wu's co-authors include Linfang Cheng, Hangping Yao, Xiangyun Lu, Changzhong Jin, Lanjuan Li, Haibo Wu, Tiansheng Xie, Xiaorong Peng, Tian-Hao Weng and Danrong Shi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Nanping Wu

157 papers receiving 2.7k citations

Hit Papers

Molecular Architecture of the SARS-CoV-2 Virus 2020 2026 2022 2024 2020 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
Nanping Wu China 23 1.4k 1.1k 705 509 385 166 2.7k
Xiangyun Lu China 18 910 0.7× 490 0.5× 460 0.7× 279 0.5× 176 0.5× 65 1.7k
Helen Lee United States 32 721 0.5× 1.1k 1.0× 479 0.7× 449 0.9× 783 2.0× 89 3.3k
Miguel Ángel Martı́nez Spain 43 2.0k 1.4× 1.0k 1.0× 1.8k 2.6× 961 1.9× 391 1.0× 172 6.0k
Olav Hungnes Norway 30 1.0k 0.7× 2.1k 2.0× 504 0.7× 302 0.6× 509 1.3× 86 3.0k
Noel A. Roberts United Kingdom 20 1.2k 0.9× 2.2k 2.0× 830 1.2× 344 0.7× 487 1.3× 32 3.4k
Xiangxi Wang China 27 1.9k 1.4× 519 0.5× 877 1.2× 464 0.9× 272 0.7× 71 3.6k
Fei Yu China 26 1.7k 1.2× 862 0.8× 578 0.8× 87 0.2× 228 0.6× 83 2.8k
Junzhi Wang China 39 1.9k 1.4× 1.4k 1.3× 1.8k 2.6× 570 1.1× 825 2.1× 274 5.4k
Concetta Castilletti Italy 35 2.5k 1.8× 831 0.8× 476 0.7× 86 0.2× 701 1.8× 160 3.8k
Jing Lu China 28 1.1k 0.8× 524 0.5× 774 1.1× 356 0.7× 271 0.7× 124 2.5k

Countries citing papers authored by Nanping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nanping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Nanping Wu. A scholar is included among the top collaborators of Nanping 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 Nanping Wu. Nanping 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.
Wang, Ping, Linfang Cheng, Han Wu, et al.. (2025). Rapid and Sensitive Quantum Dots Immunochromatographic Strip for H10 Subtype Avian Influenza Virus Detection. Transboundary and Emerging Diseases. 2025(1).
2.
Liu, Shujun, Weibin Ren, Tao Wang, et al.. (2025). Comparative analysis of hyperuricemia induction methods and probiotic interventions in mice. Current Research in Microbial Sciences. 9. 100422–100422.
3.
Fu, Jonathan, Ping Wang, Han Wu, et al.. (2025). Development of a graphene oxide multilayer quantum dot-based immunochromatographic strip for the ultrasensitive detection of H7 subtype avian influenza viruses. Poultry Science. 104(4). 104924–104924. 2 indexed citations
4.
Tan, Bin, Meng Li, Junhao Su, et al.. (2024). Deciphering the influence of salinity stress on the biological aniline degradation system: Pollutants degradation performance and microbial response. Environmental Research. 255. 119162–119162. 2 indexed citations
5.
Bao, Yufei, Meng Sun, Yuchun Wang, et al.. (2024). Nitrate transformation and source tracking of Yarlung Tsangpo River using a multi-tracer approach combined with Bayesian stable isotope mixing model. Environmental Research. 252(Pt 2). 118925–118925. 7 indexed citations
6.
Le, Thuc Duy, Khalid T. Rashid, Evan R. Abt, et al.. (2023). Generation of liver metastases in a mouse model using ultrasound-guided intravenous injection. STAR Protocols. 4(2). 102163–102163. 2 indexed citations
7.
Zhang, Xiaodi, et al.. (2023). hsa-miR-181-5p inhibits human immunodeficiency virus type 1 replication by downregulating DDX3X expression. Virology. 587. 109868–109868. 6 indexed citations
8.
Yang, Fan, et al.. (2023). A multiplex TaqMan real-time RT-PCR assay for the simultaneous detection of H4, H6, and H10 avian influenza viruses. Heliyon. 9(5). e15647–e15647. 4 indexed citations
9.
Zhu, Miaojin, Jia Ji, Danrong Shi, et al.. (2022). Unusual global outbreak of monkeypox: what should we do?. Frontiers of Medicine. 16(4). 507–517. 35 indexed citations
10.
Yang, Fan, Fumin Liu, Linfang Cheng, et al.. (2022). Generation and characterization of monoclonal antibodies against the hemagglutinin of H3N2 influenza A viruses. Virus Research. 317. 198815–198815. 5 indexed citations
12.
Peng, Xiaorong, et al.. (2017). Identification of a Novel HIV Type 1 Recombinant Form (CRF01_AE/CRF07_BC) in Men Who Have Sex with Men in Zhejiang, China. AIDS Research and Human Retroviruses. 33(7). 728–734. 5 indexed citations
13.
Wu, Haibo, Fan Yang, Lihua Xu, et al.. (2017). Isolation and molecular characterization of an H5N1 swine influenza virus in China in 2015. Archives of Virology. 163(3). 701–705. 3 indexed citations
14.
Huang, Zhaohui, et al.. (2016). Risk Factors for HIV Diagnosis Among Men Who Have Sex with Men: Results of a Case–Control Study in One Sample of Eastern China. AIDS Research and Human Retroviruses. 32(12). 1163–1168. 9 indexed citations
15.
Peng, Xiaorong, et al.. (2016). Near Full-Length Genome Identification of a Novel HIV-1 Recombinant Form (CRF01_AE/CRF07_BC) in Zhejiang, China. AIDS Research and Human Retroviruses. 32(9). 900–903. 7 indexed citations
16.
Jin, Changzhong, Tiansheng Xie, Wolfgang Fuchs, et al.. (2016). Severe dyslipidemia and immune activation in HIV patients with dysglycemia. HIV Clinical Trials. 17(5). 189–196. 11 indexed citations
17.
Wu, Haibo, Xiuming Peng, Xiaorong Peng, & Nanping Wu. (2016). Isolation and molecular characterization of reassortant H11N3 subtype avian influenza viruses isolated from domestic ducks in Zhejiang Province in China. Virus Genes. 52(5). 732–737. 2 indexed citations
19.
Yang, Jin, et al.. (2011). Detection of hepatitis C virus by an improved loop-mediated isothermal amplification assay. Archives of Virology. 156(8). 1387–1396. 16 indexed citations
20.
Xu, Lijun, et al.. (2008). HIV-1 infected Germans have more variations on neck region of DC-specific intercellular adhesion molecule-3-grabbing nonintegrin than HIV-1 infected Chinese.. PubMed. 13(2). 59–62. 3 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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