Jin‐Gu Lee
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Immunology top 10%
- Immune Response and Inflammation
Papers in
-
- Ubiquitin and proteasome pathways 8
- Cell Biology 11
- Endoplasmic Reticulum Stress and Disease 9
- Co-authors
- Yihong Ye (12 shared papers)Suk‐Hwan Baek (14 shared papers)Nia Soetandyo (2 shared papers)Yue Xu (4 shared papers)Dae‐Weon Park (8 shared papers)Guofeng Zhang (1 shared paper)Stanislav I. Tomarev (1 shared paper)Kheewoong Baek (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Cell & Bioscience (3 papers)Cellular Signalling (3 papers)Journal of Biological Chemistry (3 papers)Experimental & Molecular Medicine (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jin‐Gu Lee
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Cell Biology 398
- Immunology 273
- Molecular Biology 746
- Neurology 124
- Epidemiology 262
Countries citing papers authored by Jin‐Gu Lee
This map shows the geographic impact of Jin‐Gu 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 Jin‐Gu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Gu Lee more than expected).
Fields of papers citing papers by Jin‐Gu Lee
This network shows the impact of papers produced by Jin‐Gu 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 Jin‐Gu Lee. The network helps show where Jin‐Gu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Gu 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 167 | |
| 2 | 2010 | 131 | |
| 3 | 2013 | 123 | |
| 4 | 2018 | 120 | |
| 5 | 2009 | 94 | |
| 6 | 2021 | 85 | |
| 7 | 2018 | 82 | |
| 8 | 2008 | 68 | |
| 9 | 2014 | 67 | |
| 10 | 2013 | 63 | |
| 11 | 2007 | 60 | |
| 12 | 2013 | 60 | |
| 13 | 2014 | 55 | |
| 14 | 2009 | 52 | |
| 15 | 2013 | 50 | |
| 16 | 2007 | 44 | |
| 17 | 2006 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2006 | 28 | |
| 20 | 2011 | 27 |
About Jin‐Gu Lee
Jin‐Gu Lee is a scholar working on Molecular Biology, Cell Biology, Immunology, Epidemiology and Cancer Research, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (9 papers), Ubiquitin and proteasome pathways (8 papers), Autophagy in Disease and Therapy (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Immune Response and Inflammation (7 papers), Protease and Inhibitor Mechanisms (4 papers), Peptidase Inhibition and Analysis (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Cell Biology (398 citations), Immunology (273 citations), Molecular Biology (746 citations), Neurology (124 citations) and Epidemiology (262 citations). Jin‐Gu Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Yihong Ye, Suk‐Hwan Baek, Nia Soetandyo, Yue Xu, Dae‐Weon Park, Guofeng Zhang, Stanislav I. Tomarev, Kheewoong Baek, Shokichi Takahama and Yanfen Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell & Bioscience, Cellular Signalling, Journal of Biological Chemistry and Experimental & Molecular 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.