Meng Lu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
-
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Photosynthetic Processes and Mechanisms 2
-
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Wanting He (6 shared papers)Jin Zhao (3 shared papers)Philippe Lemey (2 shared papers)Shuo Su (7 shared papers)Changchun Tu (2 shared papers)Alexander Lai (2 shared papers)Marc A. Suchard (3 shared papers)Gairu Li (3 shared papers)
- Journals
- Microbial Pathogenesis (2 papers)Scientific Reports (1 paper)American Journal of Botany (1 paper)International Journal of Biological Macromolecules (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Meng Lu
14 papers receiving 226 citations
Meng Lu's Hit Papers
Peers
Comparison fields: 5 of 40
- Animal Science and Zoology 99
- Infectious Diseases 125
- Agronomy and Crop Science 22
- Genetics 55
- Modeling and Simulation 7
Countries citing papers authored by Meng Lu
This map shows the geographic impact of Meng 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 Meng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Lu more than expected).
Fields of papers citing papers by Meng Lu
This network shows the impact of papers produced by Meng 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 Meng Lu. The network helps show where Meng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 | 2021 | 65 | |
| 2 | Farmed fur animals harbour viruses with zoonotic spillover potential Hit paper breakdown → | 2024 | 36 |
| 3 | 2020 | 31 | |
| 4 | 2001 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 0 |
About Meng Lu
Meng Lu is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Epidemiology and Agronomy and Crop Science, having authored 15 papers that have together received 234 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Disease Management and Epidemiology (3 papers), Influenza Virus Research Studies (3 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Virus-based gene therapy research (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Animal Science and Zoology (99 citations), Infectious Diseases (125 citations), Agronomy and Crop Science (22 citations), Genetics (55 citations) and Modeling and Simulation (7 citations). Meng Lu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Wanting He, Jin Zhao, Philippe Lemey, Shuo Su, Changchun Tu, Alexander Lai, Marc A. Suchard, Gairu Li, Ruyi Wang and Alfred E. Szmidt. Their work appears in journals such as Microbial Pathogenesis, Scientific Reports, American Journal of Botany, International Journal of Biological Macromolecules and Molecular Biology and Evolution.
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.