Gui‐in Lee
Impact in
- Organic Chemistry top 10%
- Click Chemistry and Applications
-
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
Papers in
-
- Epigenetics and DNA Methylation 2
- Signaling Pathways in Disease 2
- Protein Kinase Regulation and GTPase Signaling 2
- Glycosylation and Glycoproteins Research 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Steven R. Van Doren (5 shared papers)Andrew D. Hamilton (4 shared papers)Johanna M. Rodriguez (4 shared papers)John C. Walker (2 shared papers)Hang Yin (3 shared papers)Gregory A. Payne (2 shared papers)Saı̈d M. Sebti (2 shared papers)Hyung Soon Park (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)ChemBioChem (2 papers)Proceedings of the National Academy of Sciences (1 paper)ChemMedChem (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Gui‐in Lee
10 papers receiving 622 citations
Peers
Comparison fields: 5 of 65
- Organic Chemistry 213
- Molecular Biology 482
- Oncology 102
- Cancer Research 50
- Microbiology 21
Countries citing papers authored by Gui‐in Lee
This map shows the geographic impact of Gui‐in 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 Gui‐in Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui‐in Lee more than expected).
Fields of papers citing papers by Gui‐in Lee
This network shows the impact of papers produced by Gui‐in 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 Gui‐in Lee. The network helps show where Gui‐in Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui‐in 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 | 2005 | 215 | |
| 2 | 2000 | 144 | |
| 3 | 2005 | 60 | |
| 4 | 2009 | 40 | |
| 5 | 2009 | 39 | |
| 6 | 2009 | 36 | |
| 7 | 2003 | 34 | |
| 8 | 2000 | 33 | |
| 9 | 2005 | 18 | |
| 10 | 2006 | 6 |
About Gui‐in Lee
Gui‐in Lee is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Materials Chemistry, having authored 10 papers that have together received 625 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Enzyme Structure and Function (2 papers), Plant nutrient uptake and metabolism (2 papers), Signaling Pathways in Disease (2 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Click Chemistry and Applications (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Organic Chemistry (213 citations), Molecular Biology (482 citations), Oncology (102 citations), Cancer Research (50 citations) and Microbiology (21 citations). Gui‐in Lee has collaborated with scholars based in United States and Italy. Frequent co-authors include Steven R. Van Doren, Andrew D. Hamilton, Johanna M. Rodriguez, John C. Walker, Hang Yin, Gregory A. Payne, Saı̈d M. Sebti, Hyung Soon Park, Jia Li and Nathan T. Ross. Their work appears in journals such as Journal of Molecular Biology, ChemBioChem, Proceedings of the National Academy of Sciences, ChemMedChem and Journal of Cell 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.