Lanying Du

21.1k total citations · 8 hit papers
188 papers, 14.2k citations indexed

About

Lanying Du is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Lanying Du has authored 188 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Infectious Diseases, 61 papers in Animal Science and Zoology and 51 papers in Epidemiology. Recurrent topics in Lanying Du's work include SARS-CoV-2 and COVID-19 Research (103 papers), Animal Virus Infections Studies (61 papers) and Viral gastroenteritis research and epidemiology (43 papers). Lanying Du is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (103 papers), Animal Virus Infections Studies (61 papers) and Viral gastroenteritis research and epidemiology (43 papers). Lanying Du collaborates with scholars based in China, United States and Hong Kong. Lanying Du's co-authors include Shibo Jiang, Yusen Zhou, Wanbo Tai, Yuxian He, Lu Lu, Shuwen Liu, Guangyu Zhao, Bo-Jian Zheng, Xiujuan Zhang and Yang Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Lanying Du

187 papers receiving 13.9k citations

Hit Papers

The spike protein of SARS-CoV — a target for vaccine and ... 2009 2026 2014 2020 2009 2020 2020 2020 2019 400 800 1.2k
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. The spike protein of SARS-CoV — a target for vaccine and therapeutic development
    2009 1.2k citations Lanying Du, Yusen Zhou et al. profile →
  2. Characterization of the receptor-binding domain (RBD) of 2019 novel coronavirus: implication for development of RBD protein as a viral attachment inhibitor and vaccine
    2020 1.2k citations Wanbo Tai, Lei He et al. Cellular and Molecular Immunology profile →
  3. Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion
    2020 978 citations Lanying Du, Zheng‐Li Shi et al. profile →
  4. Neutralizing Antibodies against SARS-CoV-2 and Other Human Coronaviruses
    2020 614 citations Shibo Jiang, Lanying Du et al. profile →
  5. Molecular Mechanism for Antibody-Dependent Enhancement of Coronavirus Entry
    2019 462 citations Yushun Wan, Jian Shang et al. Journal of Virology profile →
  6. A pan-coronavirus fusion inhibitor targeting the HR1 domain of human coronavirus spike
    2019 374 citations Anurodh Shankar Agrawal, Abdullah Algaissi et al. profile →
  7. Recent advances in the detection of respiratory virus infection in humans
    2020 371 citations Lili Wang, Lanying Du et al. profile →
  8. Structure-based discovery of Middle East respiratory syndrome coronavirus fusion inhibitor
    2014 317 citations Lu Lu, Lanying Du et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanying Du China 62 10.7k 3.1k 2.8k 2.1k 1.9k 188 14.2k
Yuxian He China 50 9.0k 0.8× 2.4k 0.8× 1.9k 0.7× 1.6k 0.8× 2.2k 1.1× 153 11.9k
Susan C. Baker United States 59 9.9k 0.9× 3.5k 1.1× 2.9k 1.0× 1.6k 0.8× 2.3k 1.2× 135 16.1k
Jason S. McLellan United States 54 11.8k 1.1× 4.6k 1.5× 2.0k 0.7× 5.0k 2.4× 1.8k 0.9× 141 17.3k
Berend‐Jan Bosch Netherlands 59 11.8k 1.1× 2.4k 0.8× 4.5k 1.6× 1.6k 0.8× 1.1k 0.6× 122 14.5k
Yusen Zhou China 50 6.8k 0.6× 2.1k 0.7× 1.9k 0.7× 1.5k 0.7× 1.6k 0.8× 134 9.0k
Fang Li China 48 16.3k 1.5× 4.2k 1.3× 3.9k 1.4× 1.7k 0.8× 1.6k 0.8× 148 21.2k
Lu Lu China 51 6.6k 0.6× 3.1k 1.0× 1.1k 0.4× 1.6k 0.8× 1.9k 1.0× 305 11.8k
Linqi Zhang China 53 10.9k 1.0× 3.5k 1.1× 1.2k 0.4× 3.1k 1.5× 4.9k 2.6× 229 18.2k
Jianxun Qi China 51 6.5k 0.6× 3.2k 1.0× 1.3k 0.5× 3.1k 1.5× 2.1k 1.1× 270 11.9k
Raoul J. de Groot Netherlands 50 8.3k 0.8× 2.5k 0.8× 3.5k 1.2× 1.5k 0.7× 951 0.5× 97 12.5k

Countries citing papers authored by Lanying Du

Since Specialization
Citations

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

Fields of papers citing papers by Lanying Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanying Du

This figure shows the co-authorship network connecting the top 25 collaborators of Lanying Du. A scholar is included among the top collaborators of Lanying Du 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 Lanying Du. Lanying Du 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, Gang, Abhishek Kumar Verma, Juan Shi, et al.. (2024). Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV. npj Vaccines. 9(1). 133–133. 3 indexed citations
2.
Song, Kangkang, Lu Wang, Lanying Du, et al.. (2024). Integrated Transcriptomics and Metabolomics Analysis Promotes the Understanding of Adventitious Root Formation in Eucommia ulmoides Oliver. Plants. 13(1). 136–136. 3 indexed citations
3.
4.
Wang, Gang, Abhishek Kumar Verma, Xiao‐Qing Guan, et al.. (2024). Pan-beta-coronavirus subunit vaccine prevents SARS-CoV-2 Omicron, SARS-CoV, and MERS-CoV challenge. Journal of Virology. 98(9). e0037624–e0037624. 2 indexed citations
5.
Yang, Yang, et al.. (2024). Envelope Protein-Targeting Zika Virus Entry Inhibitors. International Journal of Molecular Sciences. 25(17). 9424–9424. 1 indexed citations
6.
Ye, Gang, Fan Bu, Benjamin W. Spiller, et al.. (2024). Discovery of Nanosota-9 as anti-Omicron nanobody therapeutic candidate. PLoS Pathogens. 20(11). e1012726–e1012726. 3 indexed citations
7.
Du, Hongyan, et al.. (2023). Analysis of chemotypes and their markers in leaves of core collections of Eucommia ulmoides using metabolomics. Frontiers in Plant Science. 13. 1029907–1029907. 13 indexed citations
8.
Ye, Gang, Ruangang Pan, Fan Bu, et al.. (2023). Discovery of Nanosota-2, -3, and -4 as super potent and broad-spectrum therapeutic nanobody candidates against COVID-19. Journal of Virology. 97(11). e0144823–e0144823. 14 indexed citations
9.
Zhang, Wei, Gang Ye, Qibin Geng, et al.. (2022). Vaccine booster efficiently inhibits entry of SARS-CoV-2 omicron variant. Cellular and Molecular Immunology. 19(3). 445–446. 20 indexed citations
10.
Shi, Juan, Jian Zheng, Wanbo Tai, et al.. (2022). A Glycosylated RBD Protein Induces Enhanced Neutralizing Antibodies against Omicron and Other Variants with Improved Protection against SARS-CoV-2 Infection. Journal of Virology. 96(17). e0011822–e0011822. 19 indexed citations
11.
Shi, Juan, Gang Wang, Jian Zheng, et al.. (2022). Effective vaccination strategy using SARS-CoV-2 spike cocktail against Omicron and other variants of concern. npj Vaccines. 7(1). 169–169. 16 indexed citations
12.
Zhong, Jian, Qi Wang, Chenlu Liu, et al.. (2022). Genome-Wide Identification and Expression Analyses of the 4-Coumarate: CoA Ligase (4CL) Gene Family in Eucommia ulmoides. Forests. 13(8). 1253–1253. 7 indexed citations
13.
Zhong, Jian, Chenlu Liu, Qi Wang, et al.. (2022). Characteristics of Oil Body Development and the Cloning and Expression Analysis of PDAT Genes in Eucommia ulmoides. Agronomy. 12(9). 2197–2197. 1 indexed citations
14.
Cao, Wenpeng, Seonghan Kim, Wanbo Tai, et al.. (2021). Biomechanical characterization of SARS-CoV-2 spike RBD and human ACE2 protein-protein interaction. Biophysical Journal. 120(6). 1011–1019. 89 indexed citations
15.
Ye, Gang, Jian Zheng, Ke Shi, et al.. (2021). The development of Nanosota-1 as anti-SARS-CoV-2 nanobody drug candidates. eLife. 10. 40 indexed citations
16.
Jiang, Shibo, Lanying Du, & Zheng‐Li Shi. (2020). An emerging coronavirus causing pneumonia outbreak in Wuhan, China: calling for developing therapeutic and prophylactic strategies. Emerging Microbes & Infections. 9(1). 275–277. 228 indexed citations
17.
Wan, Yushun, Jian Shang, Shihui Sun, et al.. (2019). Molecular Mechanism for Antibody-Dependent Enhancement of Coronavirus Entry. Journal of Virology. 94(5). 462 indexed citations breakdown →
18.
Tao, Xinrong, Tania Garron, Anurodh Shankar Agrawal, et al.. (2015). Characterization and Demonstration of the Value of a Lethal Mouse Model of Middle East Respiratory Syndrome Coronavirus Infection and Disease. Journal of Virology. 90(1). 57–67. 65 indexed citations
19.
Ye, Li, Lanying Du, Hongjie Qiu, et al.. (2013). A recombinant protein containing highly conserved hemagglutinin residues 81-122 of influenza H5N1 induces strong humoral and mucosal immune responses. BioScience Trends. 7(3). 129–37. 14 indexed citations
20.
Du, Lanying, Xiujuan Zhang, Jixiang Liu, & Shibo Jiang. (2011). Protocol for Recombinant RBD-based SARS Vaccines: Protein Preparation, Animal Vaccination and Neutralization Detection. Journal of Visualized Experiments. 2 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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