Min Han
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- FOXO transcription factor regulation 2
- Mitochondrial Function and Pathology 2
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Meera V. Sundaram (2 shared papers)David S. Fay (2 shared papers)Jianzhong Bi (5 shared papers)Fan Li (4 shared papers)Yun Wang (4 shared papers)Yingying Xu (3 shared papers)Dewei Wang (2 shared papers)Zhen Liu (1 shared paper)
- Journals
- Developmental Biology (2 papers)Neurochemical Research (1 paper)In Vitro Cellular & Developmental Biology - Animal (1 paper)Frontiers in Neuroscience (1 paper)Cytokine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Min Han
15 papers receiving 898 citations
Peers
Comparison fields: 5 of 77
- Aging 219
- Cancer Research 197
- Endocrine and Autonomic Systems 85
- Molecular Biology 739
- Clinical Biochemistry 27
Countries citing papers authored by Min Han
This map shows the geographic impact of Min 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 Min Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Han more than expected).
Fields of papers citing papers by Min Han
This network shows the impact of papers produced by Min 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 Min Han. The network helps show where Min Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 | 1995 | 261 | |
| 2 | 2020 | 198 | |
| 3 | 1997 | 68 | |
| 4 | 2020 | 62 | |
| 5 | 2000 | 59 | |
| 6 | 1999 | 54 | |
| 7 | 2019 | 49 | |
| 8 | 1999 | 45 | |
| 9 | 2000 | 32 | |
| 10 | 2021 | 29 | |
| 11 | 2019 | 17 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 1 |
About Min Han
Min Han is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Cancer Research and Biochemistry, having authored 15 papers that have together received 904 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Epigenetics and DNA Methylation (4 papers), Circadian rhythm and melatonin (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Amino Acid Enzymes and Metabolism (2 papers), FOXO transcription factor regulation (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (219 citations), Cancer Research (197 citations), Endocrine and Autonomic Systems (85 citations), Molecular Biology (739 citations) and Clinical Biochemistry (27 citations). Min Han has collaborated with scholars based in China and United States. Frequent co-authors include Meera V. Sundaram, David S. Fay, Jianzhong Bi, Fan Li, Yun Wang, Yingying Xu, Dewei Wang, Zhen Liu, John Yochem and William B. Wood. Their work appears in journals such as Developmental Biology, Neurochemical Research, In Vitro Cellular & Developmental Biology - Animal, Frontiers in Neuroscience and Cytokine.
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.