Siwei Wei
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
-
- Artificial Immune Systems Applications 3
- Co-authors
- Daniel Raftery (10 shared papers)Lingyan Liu (6 shared papers)G. A. Nagana Gowda (9 shared papers)Zhongqing Chen (3 shared papers)Zhenhua Zeng (3 shared papers)Xingui Dai (2 shared papers)Huaping Mo (1 shared paper)Jian Zhang (3 shared papers)
- Journals
- Electronics (5 papers)Analytical Chemistry (2 papers)PLoS ONE (2 papers)Infection and Immunity (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited StatesUkraine
In The Last Decade
Siwei Wei
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 140
- Geriatrics and Gerontology 68
- Cancer Research 144
- Molecular Biology 614
- Clinical Biochemistry 53
- Nephrology 50
Countries citing papers authored by Siwei Wei
This map shows the geographic impact of Siwei Wei'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 Siwei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Wei more than expected).
Fields of papers citing papers by Siwei Wei
This network shows the impact of papers produced by Siwei Wei. 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 Siwei Wei. The network helps show where Siwei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Siwei Wei, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 147 | |
| 2 | 2012 | 133 | |
| 3 | 2018 | 116 | |
| 4 | 2011 | 110 | |
| 5 | 2012 | 105 | |
| 6 | 2012 | 64 | |
| 7 | 2015 | 53 | |
| 8 | 2010 | 50 | |
| 9 | 2010 | 49 | |
| 10 | 2011 | 45 | |
| 11 | 2017 | 39 | |
| 12 | 2018 | 30 | |
| 13 | 2012 | 28 | |
| 14 | 2015 | 25 | |
| 15 | 2017 | 22 | |
| 16 | 2018 | 22 | |
| 17 | 2019 | 18 | |
| 18 | 2024 | 17 | |
| 19 | 2018 | 17 | |
| 20 | 2018 | 16 |
About Siwei Wei
Siwei Wei is a scholar working on Molecular Biology, Biomedical Engineering, Artificial Intelligence, Control and Systems Engineering and Building and Construction, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Traffic Prediction and Management Techniques (8 papers), Transportation Planning and Optimization (7 papers), Traffic control and management (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Artificial Immune Systems Applications (3 papers). The work is most often cited by research in Geriatrics and Gerontology (68 citations), Cancer Research (144 citations), Molecular Biology (614 citations), Clinical Biochemistry (53 citations) and Nephrology (50 citations). Siwei Wei has collaborated with scholars based in China, United States and Ukraine. Frequent co-authors include Daniel Raftery, Lingyan Liu, G. A. Nagana Gowda, Zhongqing Chen, Zhenhua Zeng, Xingui Dai, Huaping Mo, Jian Zhang, Zane T. Hammoud and Qin Zhang. Their work appears in journals such as Electronics, Analytical Chemistry, PLoS ONE, Infection and Immunity and Molecular Neurobiology.
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.