Yuting Fu
Impact in
- Food Science top 10%
- Essential Oils and Antimicrobial Activity
-
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 7
- PI3K/AKT/mTOR signaling in cancer 3
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
-
- Antimicrobial Resistance in Staphylococcus 4
- Antifungal resistance and susceptibility 4
- Co-authors
- Weidong Qian (10 shared papers)Ting Wang (8 shared papers)Miao Liu (4 shared papers)Wanting Liu (2 shared papers)Yongdong Li (3 shared papers)Jingyuan Li (2 shared papers)Jianing Zhang (3 shared papers)Xiang Li (1 shared paper)
- Journals
- Biofouling (4 papers)BMC Genomics (3 papers)ACS Nano (2 papers)BMC Pulmonary Medicine (2 papers)Current Microbiology (1 paper)
- Partner nations
- ChinaIndiaUnited Kingdom
In The Last Decade
Yuting Fu
37 papers receiving 586 citations
Peers
Comparison fields: 5 of 97
- Food Science 99
- Molecular Medicine 26
- Biochemistry 30
- Biotechnology 39
- Toxicology 13
Countries citing papers authored by Yuting Fu
This map shows the geographic impact of Yuting 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 Yuting Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Fu more than expected).
Fields of papers citing papers by Yuting Fu
This network shows the impact of papers produced by Yuting 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 Yuting Fu. The network helps show where Yuting Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2023 | 60 | |
| 3 | 2024 | 45 | |
| 4 | 2015 | 32 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2024 | 26 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Yuting Fu
Yuting Fu is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Periodontics, having authored 40 papers that have together received 588 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Oral microbiology and periodontitis research (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Food Science (99 citations), Molecular Medicine (26 citations), Biochemistry (30 citations), Biotechnology (39 citations) and Toxicology (13 citations). Yuting Fu has collaborated with scholars based in China, India and United Kingdom. Frequent co-authors include Weidong Qian, Ting Wang, Miao Liu, Wanting Liu, Yongdong Li, Jingyuan Li, Jianing Zhang, Xiang Li, Qiao Zeng and Hui‐Zhi Long. Their work appears in journals such as Biofouling, BMC Genomics, ACS Nano, BMC Pulmonary Medicine and Current Microbiology.
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.