Fan Tu
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
-
- Protist diversity and phylogeny
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Renal and related cancers
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- Renal and related cancers 2
- RNA Research and Splicing 2
- Genetics 6
- Genetic and Kidney Cyst Diseases 5
- Co-authors
- John B. Wallingford (8 shared papers)Edward M. Marcotte (5 shared papers)Jakub Sedzinski (3 shared papers)Chanjae Lee (3 shared papers)Yun Ma (3 shared papers)Maté Biro (2 shared papers)Édouard Hannezo (2 shared papers)Kevin Drew (2 shared papers)
- Journals
- eLife (2 papers)Journal of Cell Science (2 papers)Biotechnology and Applied Biochemistry (1 paper)Developmental Cell (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fan Tu
23 papers receiving 564 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 138
- Molecular Biology 388
- Genetics 153
- Aging 6
- Spectroscopy 40
Countries citing papers authored by Fan Tu
This map shows the geographic impact of Fan Tu'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 Fan Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Tu more than expected).
Fields of papers citing papers by Fan Tu
This network shows the impact of papers produced by Fan Tu. 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 Fan Tu. The network helps show where Fan Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Tu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2014 | 97 | |
| 3 | 2016 | 65 | |
| 4 | 2018 | 52 | |
| 5 | 2019 | 49 | |
| 6 | 2017 | 34 | |
| 7 | 2018 | 25 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 14 | |
| 11 | 2011 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Fan Tu
Fan Tu is a scholar working on Molecular Biology, Genetics, Cell Biology, Electrical and Electronic Engineering and Surgery, having authored 25 papers that have together received 566 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (5 papers), Advanced Fiber Optic Sensors (2 papers), Antimicrobial Peptides and Activities (2 papers), Photonic and Optical Devices (2 papers), Renal and related cancers (2 papers), Cellular Mechanics and Interactions (2 papers), RNA Research and Splicing (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Cell Biology (138 citations), Molecular Biology (388 citations), Genetics (153 citations), Aging (6 citations) and Spectroscopy (40 citations). Fan Tu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include John B. Wallingford, Edward M. Marcotte, Jakub Sedzinski, Chanjae Lee, Yun Ma, Maté Biro, Édouard Hannezo, Kevin Drew, Claire D. McWhite and Blake Borgeson. Their work appears in journals such as eLife, Journal of Cell Science, Biotechnology and Applied Biochemistry, Developmental Cell and Cell Reports.
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.