Shaomei Han
- Physiology top 5%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Rheumatology top 5%
- Surgery
- Co-authors
- Stephen S. HechtSteven G. CarmellaLan ZhuJinghe LangGuangjin ZhuTao XuJian-shi HuangSharon E. Murphy
- Topics
- Smoking Behavior and Cessation (8 papers)Nutritional Studies and Diet (7 papers)Pelvic floor disorders treatments (6 papers)
- Journals
- PLoS ONECancer ResearchNutrients
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shaomei Han
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Physiology 460
- Molecular Biology 304
- Health, Toxicology and Mutagenesis 288
- Rheumatology 287
- Surgery 270
Countries citing papers authored by Shaomei Han
This map shows the geographic impact of Shaomei 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 Shaomei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaomei Han more than expected).
Fields of papers citing papers by Shaomei Han
This network shows the impact of papers produced by Shaomei 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 Shaomei Han. The network helps show where Shaomei Han may publish in the future.
Co-authorship network of co-authors of Shaomei Han
This figure shows the co-authorship network connecting the top 25 collaborators of Shaomei Han. A scholar is included among the top collaborators of Shaomei Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaomei Han. Shaomei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 41 | |
| 4 | 18 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | Study on the characteristics of syndrome of traditional Chinese medicine for diabetic peripheral neuropathy | 2 |
| 9 | 2 | |
| 10 | 21 | |
| 11 | Development of blood pressure reference standards for Chinese children | 20 |
| 12 | 7 | |
| 13 | [Comparison of sub-health status between Tibetan people and Han people]. | 2 |
| 14 | A Study on Mental Health Conditions of Primary and Middle School Students | 1 |
| 15 | 48 | |
| 16 | 17 | |
| 17 | 66 | |
| 18 | [Bone density of calcaneus of 2769 healthy persons in Zhejiang province]. | 3 |
| 19 | 3 | |
| 20 | 11 |
About Shaomei Han
Shaomei Han is a scholar working on Gastroenterology, Rheumatology and Urology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (8 papers), Nutritional Studies and Diet (7 papers) and Pelvic floor disorders treatments (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (288 citations), Rheumatology (287 citations) and Urology (121 citations). Shaomei Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Stephen S. Hecht, Steven G. Carmella, Lan Zhu, Jinghe Lang, Guangjin Zhu, Tao Xu, Jian-shi Huang, Sharon E. Murphy, Dorothy K. Hatsukami and Chunyan Liu. Their work appears in journals such as PLoS ONE, Cancer Research and Nutrients.
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.