Fangwei Si
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 3
- Protein Structure and Dynamics 3
- Genetics 10
- Bacterial Genetics and Biotechnology 9
- Evolution and Genetic Dynamics 4
- Co-authors
- Sean X. Sun (8 shared papers)Suckjoon Jun (6 shared papers)John T. Sauls (5 shared papers)William Margolin (4 shared papers)Guillaume Le Treut (5 shared papers)Bo Li (3 shared papers)Stephen Vadia (2 shared papers)Petra Anne Levin (2 shared papers)
- Journals
- Biophysical Journal (5 papers)Current Biology (2 papers)Journal of Cell Science (2 papers)eLife (2 papers)Biochemical Society Transactions (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Fangwei Si
16 papers receiving 668 citations
Peers
Comparison fields: 5 of 88
- Genetics 288
- Cell Biology 126
- Molecular Biology 443
- Drug Discovery 1
- Biophysics 30
Countries citing papers authored by Fangwei Si
This map shows the geographic impact of Fangwei Si'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 Fangwei Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangwei Si more than expected).
Fields of papers citing papers by Fangwei Si
This network shows the impact of papers produced by Fangwei Si. 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 Fangwei Si. The network helps show where Fangwei Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangwei Si, 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 | 2017 | 150 | |
| 2 | 2019 | 145 | |
| 3 | 2015 | 101 | |
| 4 | 2009 | 54 | |
| 5 | 2011 | 53 | |
| 6 | 2015 | 45 | |
| 7 | 2018 | 37 | |
| 8 | 2013 | 28 | |
| 9 | 2022 | 21 | |
| 10 | 2021 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2015 | 1 |
About Fangwei Si
Fangwei Si is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Biophysics, having authored 16 papers that have together received 673 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Bacteriophages and microbial interactions (6 papers), Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (4 papers), Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Protein Structure and Dynamics (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Genetics (288 citations), Cell Biology (126 citations), Molecular Biology (443 citations), Drug Discovery (1 citation) and Biophysics (30 citations). Fangwei Si has collaborated with scholars based in United States and China. Frequent co-authors include Sean X. Sun, Suckjoon Jun, John T. Sauls, William Margolin, Guillaume Le Treut, Bo Li, Stephen Vadia, Petra Anne Levin, Denis Wirtz and Dongyang Li. Their work appears in journals such as Biophysical Journal, Current Biology, Journal of Cell Science, eLife and Biochemical Society Transactions.
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.