Chun-Ya E. Han
Impact in
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- Bone health and osteoporosis research
- Oncology top 10%
- Bone health and treatments
Papers in
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- Bone health and osteoporosis research 7
- Oncology 8
- Bone health and treatments 5
- Co-authors
- Henry J. Lin (5 shared papers)Bruce K. Lin (4 shared papers)Marina Stolina (10 shared papers)Denise Dwyer (9 shared papers)Michael S. Ominsky (6 shared papers)Steven A. Hardy (1 shared paper)Xiaodong Li (6 shared papers)Frank Asuncion (5 shared papers)
- Journals
- Journal of Bone and Mineral Research (6 papers)Bone (4 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Calcified Tissue International (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Chun-Ya E. Han
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Orthopedics and Sports Medicine 393
- Oncology 451
- Molecular Biology 932
- Nephrology 82
- Cancer Research 130
Countries citing papers authored by Chun-Ya E. Han
This map shows the geographic impact of Chun-Ya E. 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 Chun-Ya E. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Ya E. Han more than expected).
Fields of papers citing papers by Chun-Ya E. Han
This network shows the impact of papers produced by Chun-Ya E. 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 Chun-Ya E. Han. The network helps show where Chun-Ya E. Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Ya E. 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 229 | |
| 2 | 2016 | 214 | |
| 3 | 1994 | 160 | |
| 4 | 1994 | 142 | |
| 5 | 2012 | 105 | |
| 6 | 2011 | 102 | |
| 7 | 2014 | 82 | |
| 8 | 2013 | 68 | |
| 9 | 2014 | 62 | |
| 10 | 2016 | 56 | |
| 11 | Glutathione transferase (GSTM1) null genotype, smoking, and prevalence of colorectal adenomas. | 1995 | 43 |
| 12 | 2015 | 40 | |
| 13 | 2017 | 39 | |
| 14 | 2009 | 35 | |
| 15 | 2011 | 27 | |
| 16 | 2009 | 25 | |
| 17 | 2017 | 24 | |
| 18 | 2020 | 20 | |
| 19 | 2021 | 17 | |
| 20 | 2009 | 11 |
About Chun-Ya E. Han
Chun-Ya E. Han is a scholar working on Orthopedics and Sports Medicine, Oncology, Molecular Biology, Nephrology and Genetics, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (8 papers), Bone health and osteoporosis research (7 papers), Bone health and treatments (5 papers), Parathyroid Disorders and Treatments (3 papers), Alkaline Phosphatase Research Studies (2 papers), Connective tissue disorders research (2 papers), Magnesium in Health and Disease (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (393 citations), Oncology (451 citations), Molecular Biology (932 citations), Nephrology (82 citations) and Cancer Research (130 citations). Chun-Ya E. Han has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Henry J. Lin, Bruce K. Lin, Marina Stolina, Denise Dwyer, Michael S. Ominsky, Steven A. Hardy, Xiaodong Li, Frank Asuncion, Hua Zhu Ke and Paul J. Kostenuik. Their work appears in journals such as Journal of Bone and Mineral Research, Bone, Bioorganic & Medicinal Chemistry Letters, Calcified Tissue International and Nucleic Acids Research.
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.