Ji Yu
Impact in
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 2%
Papers in
-
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 3
-
- Advanced Fluorescence Microscopy Techniques 7
- Cell Image Analysis Techniques 4
- Co-authors
- X. Sunney Xie (2 shared papers)Jie Xiao (1 shared paper)Xiaojia Ren (1 shared paper)Kaiqin Lao (1 shared paper)Wei Yang (1 shared paper)Peter Setlow (5 shared papers)Jingqiao Zhang (4 shared papers)Hyeyoung Kim (4 shared papers)
- Journals
- Journal of Bacteriology (4 papers)Molecular Biology of the Cell (4 papers)Proceedings of the National Academy of Sciences (3 papers)ACS Applied Materials & Interfaces (2 papers)Science (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ji Yu
47 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Biophysics 490
- Structural Biology 92
- Molecular Biology 1.5k
- Biochemistry 144
- Genetics 463
Countries citing papers authored by Ji Yu
This map shows the geographic impact of Ji Yu'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 Ji Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Yu more than expected).
Fields of papers citing papers by Ji Yu
This network shows the impact of papers produced by Ji Yu. 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 Ji Yu. The network helps show where Ji Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Yu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Probing Gene Expression in Live Cells, One Protein Molecule at a Time Hit paper breakdown → | 2006 | 685 |
| 2 | 2006 | 208 | |
| 3 | 2008 | 121 | |
| 4 | 2011 | 90 | |
| 5 | 2010 | 84 | |
| 6 | 2009 | 67 | |
| 7 | 2003 | 66 | |
| 8 | 2015 | 62 | |
| 9 | 2012 | 55 | |
| 10 | 2012 | 46 | |
| 11 | 2021 | 42 | |
| 12 | 2020 | 41 | |
| 13 | 2016 | 41 | |
| 14 | 2019 | 40 | |
| 15 | 2014 | 40 | |
| 16 | 2009 | 38 | |
| 17 | 2018 | 36 | |
| 18 | 2014 | 32 | |
| 19 | 2012 | 32 | |
| 20 | 2018 | 30 |
About Ji Yu
Ji Yu is a scholar working on Molecular Biology, Biophysics, Cell Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (7 papers), Bacterial Genetics and Biotechnology (6 papers), Cellular Mechanics and Interactions (5 papers), Cell Image Analysis Techniques (4 papers), Protein Degradation and Inhibitors (3 papers), Cell Adhesion Molecules Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Biophysics (490 citations), Structural Biology (92 citations), Molecular Biology (1.5k citations), Biochemistry (144 citations) and Genetics (463 citations). Ji Yu has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include X. Sunney Xie, Jie Xiao, Xiaojia Ren, Kaiqin Lao, Wei Yang, Peter Setlow, Jingqiao Zhang, Hyeyoung Kim, Vedakumar Tatavarty and Ann E. Cowan. Their work appears in journals such as Journal of Bacteriology, Molecular Biology of the Cell, Proceedings of the National Academy of Sciences, ACS Applied Materials & Interfaces and Science.
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.