Siming Lu
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Advanced Radiotherapy Techniques 5
-
- 3D Printing in Biomedical Research 5
- Biosensors and Analytical Detection 4
- Co-authors
- Peter F. Barnes (2 shared papers)John S. Abrams (2 shared papers)Robert L. Modlin (2 shared papers)Li-Guo Liang (8 shared papers)Shuqi Wang (7 shared papers)Yimin Wang (7 shared papers)P J Brennan (1 shared paper)Delphi Chatterjee (1 shared paper)
- Journals
- Medical Physics (2 papers)Chemistry - A European Journal (2 papers)Biomaterials Science (1 paper)Future Microbiology (1 paper)Lab on a Chip (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Siming Lu
34 papers receiving 2.6k citations
Siming Lu's Hit Papers
Peers
Comparison fields: 5 of 132
- Infectious Diseases 1.4k
- Modeling and Simulation 89
- Radiation 90
- Oncology 206
- Immunology 141
Countries citing papers authored by Siming Lu
This map shows the geographic impact of Siming 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 Siming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siming Lu more than expected).
Fields of papers citing papers by Siming Lu
This network shows the impact of papers produced by Siming 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 Siming Lu. The network helps show where Siming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Siming 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study Hit paper breakdown → | 2020 | 1148 |
| 2 | 1993 | 326 | |
| 3 | 1992 | 269 | |
| 4 | 2018 | 130 | |
| 5 | 2019 | 84 | |
| 6 | 2019 | 84 | |
| 7 | 2016 | 75 | |
| 8 | 2017 | 73 | |
| 9 | 2020 | 50 | |
| 10 | 2020 | 50 | |
| 11 | 2020 | 36 | |
| 12 | 1995 | 35 | |
| 13 | 1992 | 30 | |
| 14 | 2017 | 28 | |
| 15 | 2019 | 28 | |
| 16 | 2021 | 27 | |
| 17 | 2020 | 26 | |
| 18 | 2025 | 26 | |
| 19 | 2022 | 20 | |
| 20 | 2024 | 20 |
About Siming Lu
Siming Lu is a scholar working on Radiation, Biomedical Engineering, Infectious Diseases, Oncology and Cancer Research, having authored 34 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (5 papers), 3D Printing in Biomedical Research (5 papers), Biosensors and Analytical Detection (4 papers), Metal complexes synthesis and properties (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Modeling and Simulation (89 citations), Radiation (90 citations), Oncology (206 citations) and Immunology (141 citations). Siming Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peter F. Barnes, John S. Abrams, Robert L. Modlin, Li-Guo Liang, Shuqi Wang, Yimin Wang, P J Brennan, Delphi Chatterjee, Xin Zhao and Chao Chen. Their work appears in journals such as Medical Physics, Chemistry - A European Journal, Biomaterials Science, Future Microbiology and Lab on a Chip.
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.