Chenkai Wu
Impact in
- Geriatrics and Gerontology top 0.5%
- Frailty in Older Adults
- Health top 5%
- Health disparities and outcomes
Papers in
-
- Frailty in Older Adults 18
- Physiology 10
- Nutrition and Health in Aging 8
- Co-authors
- Michelle C. Odden (24 shared papers)Qian‐Li Xue (8 shared papers)Ellen Smit (3 shared papers)Weihao Xu (8 shared papers)Yaxi Li (5 shared papers)Dae Hyun Kim (4 shared papers)Anne B. Newman (12 shared papers)Jirong Yue (16 shared papers)
- Journals
- The Journals of Gerontology Series A (12 papers)BMC Geriatrics (11 papers)Age and Ageing (5 papers)Journal of the American Medical Directors Association (5 papers)The journal of nutrition health & aging (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chenkai Wu
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Geriatrics and Gerontology 492
- Health 102
- Physiology 306
- Neuropsychology and Physiological Psychology 17
- Aging 16
Countries citing papers authored by Chenkai Wu
This map shows the geographic impact of Chenkai Wu'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 Chenkai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenkai Wu more than expected).
Fields of papers citing papers by Chenkai Wu
This network shows the impact of papers produced by Chenkai Wu. 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 Chenkai Wu. The network helps show where Chenkai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenkai Wu, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 224 | |
| 2 | 2020 | 87 | |
| 3 | 2018 | 84 | |
| 4 | 2019 | 59 | |
| 5 | 2020 | 58 | |
| 6 | 2019 | 56 | |
| 7 | 2020 | 51 | |
| 8 | 2022 | 49 | |
| 9 | 2019 | 46 | |
| 10 | 2019 | 46 | |
| 11 | 2020 | 45 | |
| 12 | 2016 | 40 | |
| 13 | 2019 | 37 | |
| 14 | 2022 | 35 | |
| 15 | 2021 | 31 | |
| 16 | 2017 | 30 | |
| 17 | 2017 | 29 | |
| 18 | 2018 | 29 | |
| 19 | 2018 | 29 | |
| 20 | 2021 | 28 |
About Chenkai Wu
Chenkai Wu is a scholar working on Geriatrics and Gerontology, Physiology, Cardiology and Cardiovascular Medicine, Health and Epidemiology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Frailty in Older Adults (18 papers), Nutrition and Health in Aging (8 papers), Health disparities and outcomes (6 papers), Chronic Disease Management Strategies (5 papers), Intergenerational Family Dynamics and Caregiving (4 papers), Dementia and Cognitive Impairment Research (3 papers), Global Health and Surgery (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (492 citations), Health (102 citations), Physiology (306 citations), Neuropsychology and Physiological Psychology (17 citations) and Aging (16 citations). Chenkai Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michelle C. Odden, Qian‐Li Xue, Ellen Smit, Weihao Xu, Yaxi Li, Dae Hyun Kim, Anne B. Newman, Jirong Yue, Yixin Hu and Lijing L. Yan. Their work appears in journals such as The Journals of Gerontology Series A, BMC Geriatrics, Age and Ageing, Journal of the American Medical Directors Association and The journal of nutrition health & aging.
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.