I‐Ju Lee
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
- Cell Biology 14
- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 5
- Zebrafish Biomedical Research Applications 3
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- Fungal and yeast genetics research 7
- Photosynthetic Processes and Mechanisms 2
- Co-authors
- Jian‐Qiu Wu (11 shared papers)Valerie C. Coffman (4 shared papers)Damien Laporte (1 shared paper)Huayang Liu (1 shared paper)Aaron H. Nile (1 shared paper)Ning Wang (2 shared papers)Yajun Liu (2 shared papers)R. Guan (1 shared paper)
- Journals
- Molecular Biology of the Cell (4 papers)The Journal of Cell Biology (2 papers)Scientific Reports (1 paper)Cytoskeleton (1 paper)Nanomedicine Nanotechnology Biology and Medicine (1 paper)
- Partner nations
- United StatesTaiwanPoland
In The Last Decade
I‐Ju Lee
20 papers receiving 712 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 497
- Biophysics 76
- Aging 22
- Molecular Biology 516
- Cellular and Molecular Neuroscience 88
Countries citing papers authored by I‐Ju Lee
This map shows the geographic impact of I‐Ju Lee'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 I‐Ju Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ju Lee more than expected).
Fields of papers citing papers by I‐Ju Lee
This network shows the impact of papers produced by I‐Ju Lee. 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 I‐Ju Lee. The network helps show where I‐Ju Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Ju Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2015 | 93 | |
| 3 | 2009 | 86 | |
| 4 | 2015 | 71 | |
| 5 | 2012 | 57 | |
| 6 | 2016 | 49 | |
| 7 | 2012 | 38 | |
| 8 | 2012 | 33 | |
| 9 | 2014 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 2016 | 24 | |
| 12 | 2021 | 22 | |
| 13 | 2016 | 13 | |
| 14 | 2021 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2020 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2018 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2016 | 1 |
About I‐Ju Lee
I‐Ju Lee is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Hematology and Physiology, having authored 20 papers that have together received 717 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Fungal and yeast genetics research (7 papers), Cellular transport and secretion (5 papers), Genetic Neurodegenerative Diseases (3 papers), Zebrafish Biomedical Research Applications (3 papers), Nanoplatforms for cancer theranostics (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Cell Biology (497 citations), Biophysics (76 citations), Aging (22 citations), Molecular Biology (516 citations) and Cellular and Molecular Neuroscience (88 citations). I‐Ju Lee has collaborated with scholars based in United States, Taiwan and Poland. Frequent co-authors include Jian‐Qiu Wu, Valerie C. Coffman, Damien Laporte, Huayang Liu, Aaron H. Nile, Ning Wang, Yajun Liu, R. Guan, Jiawei Wang and Lingfei Sun. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Scientific Reports, Cytoskeleton and Nanomedicine Nanotechnology Biology and Medicine.
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.