Siming Lu
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
-
- 3D Printing in Biomedical Research 5
- Biosensors and Analytical Detection 3
-
- Mycobacterium research and diagnosis 4
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Peter F. Barnes (4 shared papers)Robert L. Modlin (4 shared papers)J S Abrams (3 shared papers)Masayuki Yamamura (2 shared papers)Delphi Chatterjee (1 shared paper)P J Brennan (1 shared paper)Yimin Wang (7 shared papers)L. Liang (8 shared papers)
- Journals
- Medical Physics (2 papers)Chemistry - A European Journal (2 papers)Journal of Clinical Investigation (2 papers)Infection and Immunity (2 papers)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Siming Lu
38 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Infectious Diseases 550
- Immunology 455
- Epidemiology 618
- Oncology 279
- Radiation 82
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 314 | |
| 2 | 1992 | 258 | |
| 3 | 1994 | 183 | |
| 4 | 2012 | 139 | |
| 5 | 1993 | 126 | |
| 6 | 2018 | 119 | |
| 7 | 2019 | 82 | |
| 8 | 2019 | 75 | |
| 9 | 2016 | 72 | |
| 10 | 2017 | 68 | |
| 11 | 2020 | 50 | |
| 12 | 2020 | 48 | |
| 13 | 1994 | 46 | |
| 14 | 1995 | 35 | |
| 15 | 2020 | 34 | |
| 16 | 1992 | 29 | |
| 17 | 2019 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2021 | 23 |
About Siming Lu
Siming Lu is a scholar working on Biomedical Engineering, Epidemiology, Molecular Biology, Oncology and Infectious Diseases, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (5 papers), 3D Printing in Biomedical Research (5 papers), Mycobacterium research and diagnosis (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Biosensors and Analytical Detection (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Ferrocene Chemistry and Applications (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (550 citations), Immunology (455 citations), Epidemiology (618 citations), Oncology (279 citations) and Radiation (82 citations). Siming Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peter F. Barnes, Robert L. Modlin, J S Abrams, Masayuki Yamamura, Delphi Chatterjee, P J Brennan, Yimin Wang, L. Liang, Jianhua Gong and Maurice K. Gately. Their work appears in journals such as Medical Physics, Chemistry - A European Journal, Journal of Clinical Investigation, Infection and Immunity and Organic & Biomolecular Chemistry.
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.