Pei‐Ning Wang
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Biological Psychiatry top 10%
Papers in
-
- Dementia and Cognitive Impairment Research 12
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- Functional Brain Connectivity Studies 10
- Neural dynamics and brain function 5
- Co-authors
- Hairui Yang (6 shared papers)Ching‐Po Lin (10 shared papers)Kun‐Hsien Chou (8 shared papers)Liang‐Kung Chen (13 shared papers)Chih‐Ping Chung (11 shared papers)Qing Liu (3 shared papers)Junfu Lu (3 shared papers)Chia‐Hsiung Cheng (8 shared papers)
- Journals
- Powder Technology (5 papers)Alzheimer s & Dementia (3 papers)Journal of Alzheimer s Disease (3 papers)Clinical Neurophysiology (2 papers)Archives of Gerontology and Geriatrics (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Pei‐Ning Wang
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Geriatrics and Gerontology 79
- Biological Psychiatry 40
- Psychiatry and Mental health 232
- Neurology 124
- Physiology 254
Countries citing papers authored by Pei‐Ning Wang
This map shows the geographic impact of Pei‐Ning Wang'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 Pei‐Ning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Ning Wang more than expected).
Fields of papers citing papers by Pei‐Ning Wang
This network shows the impact of papers produced by Pei‐Ning Wang. 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 Pei‐Ning Wang. The network helps show where Pei‐Ning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Ning Wang, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2012 | 100 | |
| 3 | 2015 | 92 | |
| 4 | 2013 | 82 | |
| 5 | 2000 | 78 | |
| 6 | 1998 | 72 | |
| 7 | 2013 | 67 | |
| 8 | 2014 | 64 | |
| 9 | 2010 | 57 | |
| 10 | 2017 | 42 | |
| 11 | 2011 | 39 | |
| 12 | 2023 | 38 | |
| 13 | 2014 | 35 | |
| 14 | 2020 | 32 | |
| 15 | 2019 | 27 | |
| 16 | 2013 | 27 | |
| 17 | 2014 | 27 | |
| 18 | 2021 | 24 | |
| 19 | 2014 | 24 | |
| 20 | 2015 | 24 |
About Pei‐Ning Wang
Pei‐Ning Wang is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Physiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (12 papers), Functional Brain Connectivity Studies (10 papers), Alzheimer's disease research and treatments (7 papers), Granular flow and fluidized beds (5 papers), Cyclone Separators and Fluid Dynamics (5 papers), Neural dynamics and brain function (5 papers), Frailty in Older Adults (4 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Geriatrics and Gerontology (79 citations), Biological Psychiatry (40 citations), Psychiatry and Mental health (232 citations), Neurology (124 citations) and Physiology (254 citations). Pei‐Ning Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hairui Yang, Ching‐Po Lin, Kun‐Hsien Chou, Liang‐Kung Chen, Chih‐Ping Chung, Qing Liu, Junfu Lu, Chia‐Hsiung Cheng, Wei‐Ta Chen and Wei‐Ju Lee. Their work appears in journals such as Powder Technology, Alzheimer s & Dementia, Journal of Alzheimer s Disease, Clinical Neurophysiology and Archives of Gerontology and Geriatrics.
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.