Tiwei Fu
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Bone Tissue Engineering Materials 7
- Co-authors
- Xiaojing Zhao (1 shared paper)Ye He (1 shared paper)Lu Lu (1 shared paper)Liangliang Dai (1 shared paper)Rui Zeng (1 shared paper)Zhong Luo (1 shared paper)Ke Li (1 shared paper)Kaiyong Cai (1 shared paper)
- Journals
- Scientific Reports (2 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Critical Reviews in Eukaryotic Gene Expression (2 papers)Clinical Cancer Research (1 paper)International Journal of Medical Sciences (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Tiwei Fu
29 papers receiving 666 citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 72
- Biomaterials 115
- Biomedical Engineering 235
- Endocrinology 25
- Genetics 49
Countries citing papers authored by Tiwei Fu
This map shows the geographic impact of Tiwei Fu'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 Tiwei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiwei Fu more than expected).
Fields of papers citing papers by Tiwei Fu
This network shows the impact of papers produced by Tiwei Fu. 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 Tiwei Fu. The network helps show where Tiwei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiwei Fu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 140 | |
| 2 | 2019 | 68 | |
| 3 | 2015 | 49 | |
| 4 | 2020 | 42 | |
| 5 | 2019 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2016 | 31 | |
| 8 | 2020 | 27 | |
| 9 | 2015 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2011 | 21 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2018 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2016 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2021 | 14 | |
| 19 | 2017 | 10 | |
| 20 | 2014 | 9 |
About Tiwei Fu
Tiwei Fu is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Epidemiology and Infectious Diseases, having authored 32 papers that have together received 671 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Mesenchymal stem cell research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Bone and Dental Protein Studies (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (72 citations), Biomaterials (115 citations), Biomedical Engineering (235 citations), Endocrinology (25 citations) and Genetics (49 citations). Tiwei Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaojing Zhao, Ye He, Lu Lu, Liangliang Dai, Rui Zeng, Zhong Luo, Ke Li, Kaiyong Cai, Quanxin Long and Ping Ji. Their work appears in journals such as Scientific Reports, IEEE Transactions on Intelligent Transportation Systems, Critical Reviews in Eukaryotic Gene Expression, Clinical Cancer Research and International Journal of Medical Sciences.
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.