Yuting Han
Impact in
- Health top 5%
- Health disparities and outcomes
- Geriatrics and Gerontology top 10%
Papers in ⓘ
- Co-authors
- Canqing Yu (13 shared papers)J Lyu (2 shared papers)Ling Yang (9 shared papers)Liming Lee (1 shared paper)Huaidong Du (11 shared papers)Zhengming Chen (11 shared papers)Jun Lv (10 shared papers)Yao He (1 shared paper)
- Journals
- Neurology (2 papers)Cardiovascular Diabetology (2 papers)The Lancet Regional Health - Western Pacific (2 papers)International Journal of Epidemiology (2 papers)Methodology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuting Han
30 papers receiving 780 citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Health 118
- Geriatrics and Gerontology 33
- Inorganic Chemistry 84
- Cardiology and Cardiovascular Medicine 133
- Neuropsychology and Physiological Psychology 8
Countries citing papers authored by Yuting Han
This map shows the geographic impact of Yuting 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 Yuting Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Han more than expected).
Fields of papers citing papers by Yuting Han
This network shows the impact of papers produced by Yuting 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 Yuting Han. The network helps show where Yuting Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study Hit paper breakdown → | 2021 | 243 |
| 2 | 2020 | 140 | |
| 3 | 2022 | 131 | |
| 4 | 2019 | 71 | |
| 5 | 2021 | 37 | |
| 6 | 2020 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Yuting Han
Yuting Han is a scholar working on Geriatrics and Gerontology, Family Practice, Epidemiology, Virology and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 786 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (6 papers), Pneumonia and Respiratory Infections (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Innovations in Medical Education (2 papers), Nutritional Studies and Diet (2 papers), Acute Ischemic Stroke Management (2 papers), Family and Disability Support Research (2 papers) and Advanced Statistical Modeling Techniques (2 papers). The work is most often cited by research in Health (118 citations), Geriatrics and Gerontology (33 citations), Inorganic Chemistry (84 citations), Cardiology and Cardiovascular Medicine (133 citations) and Neuropsychology and Physiological Psychology (8 citations). Yuting Han has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Canqing Yu, J Lyu, Ling Yang, Liming Lee, Huaidong Du, Zhengming Chen, Jun Lv, Yao He, Yiping Chen and Yu Guo. Their work appears in journals such as Neurology, Cardiovascular Diabetology, The Lancet Regional Health - Western Pacific, International Journal of Epidemiology and Methodology.
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.