Roujian Lu
Impact in
- Infectious Diseases top 0.01%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
Papers in
- Virology 8
- Poxvirus research and outbreaks 7
-
- Viral gastroenteritis research and epidemiology 15
- SARS-CoV-2 and COVID-19 Research 14
- Journals
- Journal of Biological Chemistry (4 papers)China CDC Weekly (4 papers)PLoS ONE (4 papers)Scientific Reports (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Roujian Lu
52 papers receiving 24.4k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Infectious Diseases 15.9k
- Modeling and Simulation 2.2k
- General Dentistry 532
- Neurology 4.3k
- Obstetrics and Gynecology 1.2k
Countries citing papers authored by Roujian Lu
This map shows the geographic impact of Roujian 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 Roujian Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roujian Lu more than expected).
Fields of papers citing papers by Roujian Lu
This network shows the impact of papers produced by Roujian 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 Roujian Lu. The network helps show where Roujian Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roujian Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 60 | |
| 7 | 2022 | 24 | |
| 8 | Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitro Hit paper breakdown → | 2021 | 228 |
| 9 | 2021 | 41 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 33 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 2 | |
| 14 | [Molecular Detection and Genomic Characterization of Enterovirus D68 among Children with Severe Acute Respiratory Infection in Beijing and Shanghai]. | 2016 | 1 |
| 15 | 2016 | 1 | |
| 16 | 2016 | 24 | |
| 17 | 2016 | 59 | |
| 18 | 2015 | 1 | |
| 19 | 2010 | 21 | |
| 20 | 2009 | 29 |
About Roujian Lu
Roujian Lu is a scholar working on Virology, Infectious Diseases, Epidemiology, Animal Science and Zoology and Biological Psychiatry, having authored 53 papers that have together received 25.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (20 papers), Viral gastroenteritis research and epidemiology (15 papers), SARS-CoV-2 and COVID-19 Research (14 papers), Animal Virus Infections Studies (7 papers), Poxvirus research and outbreaks (7 papers), Viral Infections and Immunology Research (6 papers), Virus-based gene therapy research (5 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Infectious Diseases (15.9k citations), Modeling and Simulation (2.2k citations), General Dentistry (532 citations), Neurology (4.3k citations) and Obstetrics and Gynecology (1.2k citations). Roujian Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wenjie Tan, Wen‐Ching Wang, Guizhen Wu, Baoying Huang, Peihua Niu, Na Zhu, Xuejun Ma, Jingdong Song, Weifeng Shi and George F. Gao. Their work appears in journals such as Journal of Biological Chemistry, China CDC Weekly, PLoS ONE, Scientific Reports and BMC Infectious Diseases.
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.