Jaeseok Han
Impact in
- Cell Biology top 0.2%
- Endoplasmic Reticulum Stress and Disease
- Aging top 5%
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Cell Biology 37
- Endoplasmic Reticulum Stress and Disease 36
- Co-authors
- Randal J. KaufmanSung Hoon BackRobert GildersleeveShiyu WangMaureen A. SartorMaria HatzoglouCelvie L. YuanDawid Krokowski
- Journals
- International Journal of Molecular Sciences (5 papers)Journal of Biological Chemistry (4 papers)Diabetes (3 papers)Cell Metabolism (2 papers)Cells (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jaeseok Han
56 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cell Biology 2.2k
- Aging 83
- Epidemiology 1.3k
- Molecular Biology 2.0k
- Biochemistry 197
Countries citing papers authored by Jaeseok Han
This map shows the geographic impact of Jaeseok Han'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 Jaeseok Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeseok Han more than expected).
Fields of papers citing papers by Jaeseok Han
This network shows the impact of papers produced by Jaeseok Han. 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 Jaeseok Han. The network helps show where Jaeseok Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaeseok Han, 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 | 0 | |
| 2 | 2022 | 9 | |
| 3 | Therapeutic opportunities for pancreatic β-cell ER stress in diabetes mellitus Hit paper breakdown → | 2021 | 155 |
| 4 | 2020 | 12 | |
| 5 | 2020 | 43 | |
| 6 | 2019 | 22 | |
| 7 | 2017 | 95 | |
| 8 | 2017 | 8 | |
| 9 | The role of ER stress in lipid metabolism and lipotoxicity Hit paper breakdown → | 2016 | 486 |
| 10 | 2014 | 21 | |
| 11 | 2014 | 29 | |
| 12 | 2014 | 16 | |
| 13 | ER-stress-induced transcriptional regulation increases protein synthesis leading to cell death Hit paper breakdown → | 2013 | 1315 |
| 14 | 2013 | 99 | |
| 15 | 2012 | 67 | |
| 16 | 2010 | 102 | |
| 17 | 2009 | 292 | |
| 18 | 2007 | 23 | |
| 19 | 2002 | 39 | |
| 20 | 2000 | 53 |
About Jaeseok Han
Jaeseok Han is a scholar working on Aging, Cell Biology, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 4.4k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (36 papers), Pancreatic function and diabetes (22 papers), Autophagy in Disease and Therapy (14 papers), Diabetes and associated disorders (9 papers), RNA regulation and disease (7 papers), CRISPR and Genetic Engineering (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Cell Biology (2.2k citations), Aging (83 citations), Epidemiology (1.3k citations), Molecular Biology (2.0k citations) and Biochemistry (197 citations). Jaeseok Han has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Randal J. Kaufman, Sung Hoon Back, Robert Gildersleeve, Shiyu Wang, Maureen A. Sartor, Maria Hatzoglou, Celvie L. Yuan, Dawid Krokowski, Jixiu Shan and Michael S. Kilberg. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biological Chemistry, Diabetes, Cell Metabolism 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.