Baek‐Soo Han
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
- Physiology 19
- Adipose Tissue and Metabolism 17
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- Nuclear Receptors and Signaling 5
- Co-authors
- Kwang‐Soo KimChun‐Hyung KimSanghyeok KoDohoon KimKwang YulJung-Il MoonMi‐Yoon ChangEungi Yang
- Journals
- BMB Reports (5 papers)International Journal of Molecular Sciences (4 papers)Molecules and Cells (3 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular and Cellular Endocrinology (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Baek‐Soo Han
52 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Neurology 495
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 555
- Physiology 653
- Developmental Neuroscience 76
Countries citing papers authored by Baek‐Soo Han
This map shows the geographic impact of Baek‐Soo 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 Baek‐Soo Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baek‐Soo Han more than expected).
Fields of papers citing papers by Baek‐Soo Han
This network shows the impact of papers produced by Baek‐Soo 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 Baek‐Soo Han. The network helps show where Baek‐Soo Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Baek‐Soo 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 | 2024 | 2 | |
| 2 | 2023 | 9 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 9 | |
| 5 | 2019 | 10 | |
| 6 | 2017 | 35 | |
| 7 | 2016 | 53 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 27 | |
| 10 | 2015 | 29 | |
| 11 | 2014 | 30 | |
| 12 | 2014 | 21 | |
| 13 | 2014 | 48 | |
| 14 | 2013 | 26 | |
| 15 | 2013 | 19 | |
| 16 | 2012 | 32 | |
| 17 | Generation of Human Induced Pluripotent Stem Cells by Direct Delivery of Reprogramming Proteins Hit paper breakdown → | 2009 | 1276 |
| 18 | 2009 | 98 | |
| 19 | 2008 | 281 | |
| 20 | 2001 | 3 |
About Baek‐Soo Han
Baek‐Soo Han is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Geriatrics and Gerontology and Biochemistry, having authored 52 papers that have together received 3.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Histone Deacetylase Inhibitors Research (5 papers), Nuclear Receptors and Signaling (5 papers), RNA Interference and Gene Delivery (4 papers), Ubiquitin and proteasome pathways (4 papers), Pluripotent Stem Cells Research (4 papers) and Bioactive Natural Diterpenoids Research (3 papers). The work is most often cited by research in Neurology (495 citations), Molecular Biology (2.2k citations), Cellular and Molecular Neuroscience (555 citations), Physiology (653 citations) and Developmental Neuroscience (76 citations). Baek‐Soo Han has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kwang‐Soo Kim, Chun‐Hyung Kim, Sanghyeok Ko, Dohoon Kim, Kwang Yul, Jung-Il Moon, Mi‐Yoon Chang, Eungi Yang, Robert Lanza and Kwang‐Hee Bae. Their work appears in journals such as BMB Reports, International Journal of Molecular Sciences, Molecules and Cells, Biochemical and Biophysical Research Communications and Molecular and Cellular Endocrinology.
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.