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 6
- Co-authors
- Liangliang Dai (1 shared paper)Lu Lu (1 shared paper)Zhong Luo (1 shared paper)Ye He (1 shared paper)Rui Zeng (1 shared paper)Xiaojing Zhao (1 shared paper)Ke Li (1 shared paper)Kaiyong Cai (1 shared paper)
- Journals
- Critical Reviews in Eukaryotic Gene Expression (2 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Scientific Reports (2 papers)Current Microbiology (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Tiwei Fu
30 papers receiving 690 citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 69
- Biomaterials 112
- Biomedical Engineering 235
- Endocrinology 23
- Genetics 44
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2019 | 70 | |
| 3 | 2015 | 49 | |
| 4 | 2020 | 46 | |
| 5 | 2019 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2016 | 32 | |
| 8 | 2020 | 27 | |
| 9 | 2015 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2011 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2016 | 18 | |
| 18 | 2021 | 14 | |
| 19 | 2017 | 11 | |
| 20 | 2014 | 9 |
About Tiwei Fu
Tiwei Fu is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Surgery and Genetics, having authored 33 papers that have together received 695 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (6 papers), Antibiotic Resistance in Bacteria (5 papers), Mycobacterium research and diagnosis (4 papers), Tuberculosis Research and Epidemiology (4 papers), Bone and Dental Protein Studies (3 papers), Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (69 citations), Biomaterials (112 citations), Biomedical Engineering (235 citations), Endocrinology (23 citations) and Genetics (44 citations). Tiwei Fu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Liangliang Dai, Lu Lu, Zhong Luo, Ye He, Rui Zeng, Xiaojing Zhao, Ke Li, Kaiyong Cai, Quanxin Long and Ping Ji. Their work appears in journals such as Critical Reviews in Eukaryotic Gene Expression, IEEE Transactions on Intelligent Transportation Systems, Scientific Reports, Current Microbiology and Emerging Microbes & Infections.
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.