Kexi Yi
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Aging top 10%
Papers in
-
- Planarian Biology and Electrostimulation 3
- RNA Research and Splicing 2
- Plant Reproductive Biology 2
- Cell Biology 12
- Microtubule and mitosis dynamics 7
- Cellular Mechanics and Interactions 5
- Co-authors
- Rong Li (5 shared papers)Boris Rubinstein (3 shared papers)Brian D. Slaughter (4 shared papers)Jay R. Unruh (4 shared papers)Rong Li (1 shared paper)Manqi Deng (1 shared paper)Fengli Guo (4 shared papers)Haiyun Ren (2 shared papers)
- Journals
- Developmental Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)PLANT PHYSIOLOGY (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Kexi Yi
18 papers receiving 719 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 391
- Aging 22
- Public Health, Environmental and Occupational Health 347
- Reproductive Medicine 69
- Molecular Biology 393
Countries citing papers authored by Kexi Yi
This map shows the geographic impact of Kexi Yi'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 Kexi Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kexi Yi more than expected).
Fields of papers citing papers by Kexi Yi
This network shows the impact of papers produced by Kexi Yi. 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 Kexi Yi. The network helps show where Kexi Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kexi Yi, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 225 | |
| 2 | 2013 | 100 | |
| 3 | 2012 | 95 | |
| 4 | 2005 | 92 | |
| 5 | 2020 | 58 | |
| 6 | 2013 | 56 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2003 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Kexi Yi
Kexi Yi is a scholar working on Molecular Biology, Cell Biology, Public Health, Environmental and Occupational Health, Plant Science and Genetics, having authored 21 papers that have together received 733 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Reproductive Biology and Fertility (7 papers), Cellular Mechanics and Interactions (5 papers), Planarian Biology and Electrostimulation (3 papers), Genetic and Kidney Cyst Diseases (2 papers), RNA Research and Splicing (2 papers), Plant Reproductive Biology (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Cell Biology (391 citations), Aging (22 citations), Public Health, Environmental and Occupational Health (347 citations), Reproductive Medicine (69 citations) and Molecular Biology (393 citations). Kexi Yi has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Rong Li, Boris Rubinstein, Brian D. Slaughter, Jay R. Unruh, Rong Li, Manqi Deng, Fengli Guo, Haiyun Ren, Bin Yang and Chunqing Guo. Their work appears in journals such as Developmental Biology, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, PLANT PHYSIOLOGY and Current Biology.
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.