Fang‐Jen S. Lee
- Physiology top 1%
- Calcium signaling and nucleotide metabolism 16
- Cell Biology top 2%
- Cellular transport and secretion 32
- Endoplasmic Reticulum Stress and Disease 12
- Aging top 10%
- Molecular Biology top 5%
- Fungal and yeast genetics research 19
- Ubiquitin and proteasome pathways 7
- RNA and protein synthesis mechanisms 7
- Infectious Diseases top 10%
-
- Enzyme Structure and Function 8
-
- Peptidase Inhibition and Analysis 7
- Co-authors
- Joel MossJohn A. SmithHosni M. HassanYa‐Wen LiuChun-Fang HuangM VaughanYee‐Chun ChenChing‐Yi Lin
- Cited by
- PhysiologyCell BiologyAging
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Fang‐Jen S. Lee
77 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Physiology 240
- Cell Biology 724
- Aging 38
- Molecular Biology 1.4k
- Infectious Diseases 179
Countries citing papers authored by Fang‐Jen S. Lee
This map shows the geographic impact of Fang‐Jen S. 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 Fang‐Jen S. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang‐Jen S. Lee more than expected).
Fields of papers citing papers by Fang‐Jen S. Lee
This network shows the impact of papers produced by Fang‐Jen S. 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 Fang‐Jen S. Lee. The network helps show where Fang‐Jen S. Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fang‐Jen S. 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 | 2025 | 2 | |
| 2 | 2022 | 5 | |
| 3 | 2020 | 4 | |
| 4 | 2019 | 9 | |
| 5 | 2017 | 16 | |
| 6 | 2013 | 52 | |
| 7 | 2013 | 5 | |
| 8 | 2013 | 8 | |
| 9 | 2013 | 6 | |
| 10 | 2012 | 8 | |
| 11 | 2008 | 13 | |
| 12 | 2007 | 76 | |
| 13 | 2005 | 34 | |
| 14 | 2003 | 31 | |
| 15 | 2000 | 45 | |
| 16 | 1997 | 10 | |
| 17 | 1994 | 6 | |
| 18 | 1989 | 4 | |
| 19 | 1989 | 31 | |
| 20 | 1988 | 73 |
About Fang‐Jen S. Lee
Fang‐Jen S. Lee is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (32 papers), Fungal and yeast genetics research (19 papers), Calcium signaling and nucleotide metabolism (16 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Enzyme Structure and Function (8 papers), Peptidase Inhibition and Analysis (7 papers), Ubiquitin and proteasome pathways (7 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Physiology (240 citations), Cell Biology (724 citations) and Aging (38 citations). Fang‐Jen S. Lee has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Joel Moss, John A. Smith, Hosni M. Hassan, Ya‐Wen Liu, Chun-Fang Huang, M Vaughan, Yee‐Chun Chen, Ching‐Yi Lin, Jia‐Wei Hsu and Martha Vaughan. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.