Jaeki Min
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Sensory Systems top 5%
Papers in
-
- Ubiquitin and proteasome pathways 10
- Protein Degradation and Inhibitors 8
- Chemical Synthesis and Analysis 4
- Oncology 19
- Peptidase Inhibition and Analysis 9
- Cancer-related Molecular Pathways 5
- Co-authors
- Young‐Tae Chang (10 shared papers)Patrick Ryan Potts (3 shared papers)R. Kiplin Guy (20 shared papers)Seung Wook Yang (2 shared papers)Robert G. Guenette (1 shared paper)Baikang Pei (1 shared paper)Robert A. Hazlitt (3 shared papers)Jian Zuo (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (10 papers)PLoS ONE (4 papers)Bioorganic & Medicinal Chemistry (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)ACS Chemical Biology (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jaeki Min
55 papers receiving 2.1k citations
Jaeki Min's Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.2k
- Sensory Systems 79
- Organic Chemistry 447
- Oncology 374
- Computational Theory and Mathematics 136
Countries citing papers authored by Jaeki Min
This map shows the geographic impact of Jaeki Min'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 Jaeki Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeki Min more than expected).
Fields of papers citing papers by Jaeki Min
This network shows the impact of papers produced by Jaeki Min. 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 Jaeki Min. The network helps show where Jaeki Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaeki Min, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Target and tissue selectivity of PROTAC degraders Hit paper breakdown → | 2022 | 210 |
| 2 | 2010 | 150 | |
| 3 | 2006 | 143 | |
| 4 | 2008 | 99 | |
| 5 | 2012 | 90 | |
| 6 | 2011 | 81 | |
| 7 | 2018 | 77 | |
| 8 | 2007 | 73 | |
| 9 | 2012 | 72 | |
| 10 | 2006 | 69 | |
| 11 | 2007 | 52 | |
| 12 | 2023 | 47 | |
| 13 | 2018 | 47 | |
| 14 | 2022 | 46 | |
| 15 | 2014 | 46 | |
| 16 | 2012 | 46 | |
| 17 | 2016 | 45 | |
| 18 | 2010 | 44 | |
| 19 | 2020 | 40 | |
| 20 | 2018 | 35 |
About Jaeki Min
Jaeki Min is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Peptidase Inhibition and Analysis (9 papers), Protein Degradation and Inhibitors (8 papers), Click Chemistry and Applications (7 papers), Cancer-related Molecular Pathways (5 papers), Multiple Myeloma Research and Treatments (4 papers), Malaria Research and Control (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Sensory Systems (79 citations), Organic Chemistry (447 citations), Oncology (374 citations) and Computational Theory and Mathematics (136 citations). Jaeki Min has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Young‐Tae Chang, Patrick Ryan Potts, R. Kiplin Guy, Seung Wook Yang, Robert G. Guenette, Baikang Pei, Robert A. Hazlitt, Jian Zuo, Haian Fu and Yuhong Du. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS ONE, Bioorganic & Medicinal Chemistry, Antimicrobial Agents and Chemotherapy and ACS Chemical 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.