Lu Lu

20.3k total citations · 8 hit papers
305 papers, 11.8k citations indexed

About

Lu Lu is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Lu Lu has authored 305 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Infectious Diseases, 71 papers in Virology and 59 papers in Epidemiology. Recurrent topics in Lu Lu's work include HIV Research and Treatment (69 papers), SARS-CoV-2 and COVID-19 Research (61 papers) and HIV/AIDS drug development and treatment (50 papers). Lu Lu is often cited by papers focused on HIV Research and Treatment (69 papers), SARS-CoV-2 and COVID-19 Research (61 papers) and HIV/AIDS drug development and treatment (50 papers). Lu Lu collaborates with scholars based in China, United States and Hong Kong. Lu Lu's co-authors include Shibo Jiang, Shuai Xia, Lanying Du, Wei Xu, Yun Zhu, Tianlei Ying, Zheng‐Li Shi, Yanling Wu, Qiaoshuai Lan and Qian Wang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Lu Lu

290 papers receiving 11.6k citations

Hit Papers

Inhibition of SARS-CoV-2 (previously 2019-n... 2014 2026 2018 2022 2020 2020 2020 2019 2021 250 500 750

Peers

Lu Lu
Comparison fields: 5 of 165
  • Infectious Diseases 6.6k
  • Molecular Biology 3.1k
  • Immunology 1.9k
  • Epidemiology 1.6k
  • Virology 1.1k
Replace Wayne A. Marasco with:
Wayne A. Marasco United States
Peng Zhou China
Zhiwei Chen China
Yuxian He China
Graham Simmons United States
Hin Chu Hong Kong
Jianhua Sui China
Hans Wilhelm Doerr Germany
Yi Shi China
Xinquan Wang China
Wayne A. Marasco United States View profile →
Citations per field, relative to Lu Lu
Lu Lu · 1×
Citations per year, relative to Lu Lu
Lu Lu · 1×

Countries citing papers authored by Lu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Lu. A scholar is included among the top collaborators of Lu Lu 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 Lu Lu. Lu Lu 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
# Work Indexed citations
1 1
2 1
3 1
4 42
5 8
6 6
7 10
8 4
9 1
10 12
11
Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipients breakdown →
234
12 53
13 13
14 237
15
Exosomes Derived from Mesenchymal Stem Cells Protect the Myocardium Against Ischemia/Reperfusion Injury Through Inhibiting Pyroptosis
1
16 11
17
Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody breakdown →
838
18 17
19 18
20 65

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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