Kim Han
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Biological Psychiatry top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 4
- Histone Deacetylase Inhibitors Research 2
-
- Autophagy in Disease and Therapy 7
- Co-authors
- Michael N. Sack (13 shared papers)Iain Scott (4 shared papers)Bradley R. Webster (3 shared papers)Javier Traba (3 shared papers)Komudi Singh (5 shared papers)Carmen K. M. Chan (1 shared paper)Kaiyuan Wu (3 shared papers)Rebecca D. Huffstutler (4 shared papers)
- Journals
- The Journal of Immunology (2 papers)The Journal of Organic Chemistry (2 papers)Epidemiology (2 papers)Wetlands (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Kim Han
28 papers receiving 701 citations
Peers
Comparison fields: 5 of 94
- Geriatrics and Gerontology 87
- Biological Psychiatry 34
- Physiology 45
- Aging 16
- Physiology 190
Countries citing papers authored by Kim Han
This map shows the geographic impact of Kim 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 Kim Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Han more than expected).
Fields of papers citing papers by Kim Han
This network shows the impact of papers produced by Kim 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 Kim Han. The network helps show where Kim Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2013 | 105 | |
| 3 | 2013 | 86 | |
| 4 | 2021 | 65 | |
| 5 | 2014 | 57 | |
| 6 | 2017 | 55 | |
| 7 | 2018 | 51 | |
| 8 | 2017 | 36 | |
| 9 | 2018 | 22 | |
| 10 | 2021 | 15 | |
| 11 | 2024 | 12 | |
| 12 | 2008 | 12 | |
| 13 | 2000 | 8 | |
| 14 | Predictors of total occlusion of the infarct-related artery in patients with acute Non-ST elevation myocardial infarction | 2008 | 7 |
| 15 | 2016 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2018 | 3 |
About Kim Han
Kim Han is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 713 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Dietary Effects on Health (3 papers), Immune Cell Function and Interaction (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (87 citations), Biological Psychiatry (34 citations), Physiology (45 citations), Aging (16 citations) and Physiology (190 citations). Kim Han has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Michael N. Sack, Iain Scott, Bradley R. Webster, Javier Traba, Komudi Singh, Carmen K. M. Chan, Kaiyuan Wu, Rebecca D. Huffstutler, Yong Chen and Marjan Guček. Their work appears in journals such as The Journal of Immunology, The Journal of Organic Chemistry, Epidemiology, Wetlands and Scientific Reports.
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.