Eunhee Choi
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 9
- Receptor Mechanisms and Signaling 4
- Genomics and Chromatin Dynamics 3
- Protein Structure and Dynamics 3
- Cell Biology 12
- Microtubule and mitosis dynamics 11
- Cellular transport and secretion 5
- Co-authors
- Hongtao Yu (7 shared papers)Xiao‐chen Bai (12 shared papers)Hyun‐Sook Lee (8 shared papers)Jie Li (7 shared papers)Catherine Hall (9 shared papers)Emiko Uchikawa (3 shared papers)Jaewon Min (3 shared papers)Guijun Shang (1 shared paper)
- Journals
- Nature Communications (5 papers)Nature Structural & Molecular Biology (2 papers)eLife (2 papers)Biochemical and Biophysical Research Communications (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Eunhee Choi
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Cell Biology 302
- Aging 25
- Molecular Biology 784
- Endocrinology, Diabetes and Metabolism 160
- Cancer Research 87
Countries citing papers authored by Eunhee Choi
This map shows the geographic impact of Eunhee Choi'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 Eunhee Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunhee Choi more than expected).
Fields of papers citing papers by Eunhee Choi
This network shows the impact of papers produced by Eunhee Choi. 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 Eunhee Choi. The network helps show where Eunhee Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunhee Choi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2019 | 120 | |
| 3 | 2009 | 107 | |
| 4 | 2020 | 92 | |
| 5 | 2016 | 82 | |
| 6 | 2019 | 69 | |
| 7 | 2012 | 67 | |
| 8 | 2022 | 42 | |
| 9 | 2013 | 42 | |
| 10 | 2023 | 38 | |
| 11 | 2009 | 34 | |
| 12 | 2010 | 29 | |
| 13 | 2006 | 28 | |
| 14 | 2022 | 25 | |
| 15 | 2023 | 21 | |
| 16 | 2008 | 20 | |
| 17 | 2024 | 17 | |
| 18 | 2022 | 13 | |
| 19 | 2025 | 13 | |
| 20 | 2017 | 11 |
About Eunhee Choi
Eunhee Choi is a scholar working on Molecular Biology, Cell Biology, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (5 papers), Cellular transport and secretion (5 papers), Receptor Mechanisms and Signaling (4 papers), Genomics and Chromatin Dynamics (3 papers), Protein Structure and Dynamics (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (302 citations), Aging (25 citations), Molecular Biology (784 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Cancer Research (87 citations). Eunhee Choi has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Hongtao Yu, Xiao‐chen Bai, Hyun‐Sook Lee, Jie Li, Catherine Hall, Emiko Uchikawa, Jaewon Min, Guijun Shang, Chao Xing and Xiangli Zhang. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, eLife, Biochemical and Biophysical Research Communications and The Journal of Cell 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.