Jee‐Yin Ahn
Impact in
- Developmental Neuroscience top 10%
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
- Inflammasome and immune disorders
- RNA modifications and cancer
- Cell death mechanisms and regulation
Papers in
-
- Ubiquitin and proteasome pathways 13
- PI3K/AKT/mTOR signaling in cancer 12
- Cell death mechanisms and regulation 10
- Protein Kinase Regulation and GTPase Signaling 4
- Biochemistry 11
- Amino Acid Enzymes and Metabolism 8
- Co-authors
- Keqiang Ye (12 shared papers)Kyung-Hoon Lee (14 shared papers)Sung‐Woo Cho (24 shared papers)Xia Liu (3 shared papers)Chung Kwon Kim (10 shared papers)Glen N. Barber (2 shared papers)So Yoon Ahn (5 shared papers)Sang Bae Lee (11 shared papers)
- Journals
- BMB Reports (12 papers)Scientific Reports (4 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (4 papers)Molecules and Cells (4 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Jee‐Yin Ahn
77 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 99
- Developmental Neuroscience 70
- Molecular Biology 1.2k
- Genetics 158
- Immunology 301
- Biochemistry 105
Countries citing papers authored by Jee‐Yin Ahn
This map shows the geographic impact of Jee‐Yin Ahn'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 Jee‐Yin Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee‐Yin Ahn more than expected).
Fields of papers citing papers by Jee‐Yin Ahn
This network shows the impact of papers produced by Jee‐Yin Ahn. 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 Jee‐Yin Ahn. The network helps show where Jee‐Yin Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Jee‐Yin Ahn, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2005 | 113 | |
| 3 | 2017 | 108 | |
| 4 | 2006 | 104 | |
| 5 | 2006 | 93 | |
| 6 | 2017 | 92 | |
| 7 | 2004 | 85 | |
| 8 | 2010 | 75 | |
| 9 | 2004 | 70 | |
| 10 | 2008 | 67 | |
| 11 | 2016 | 67 | |
| 12 | 2006 | 60 | |
| 13 | 2018 | 59 | |
| 14 | 2014 | 56 | |
| 15 | 2010 | 46 | |
| 16 | 2014 | 39 | |
| 17 | 2012 | 37 | |
| 18 | 2017 | 36 | |
| 19 | 2023 | 36 | |
| 20 | 1996 | 32 |
About Jee‐Yin Ahn
Jee‐Yin Ahn is a scholar working on Molecular Biology, Biochemistry, Oncology, Physiology and Immunology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Cell death mechanisms and regulation (10 papers), Amino Acid Enzymes and Metabolism (8 papers), Cancer-related Molecular Pathways (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), Molecular Biology (1.2k citations), Genetics (158 citations), Immunology (301 citations) and Biochemistry (105 citations). Jee‐Yin Ahn has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Keqiang Ye, Kyung-Hoon Lee, Sung‐Woo Cho, Xia Liu, Chung Kwon Kim, Glen N. Barber, So Yoon Ahn, Sang Bae Lee, Yun Sil Chang and Won Soon Park. Their work appears in journals such as BMB Reports, Scientific Reports, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecules and Cells.
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.