Limei Piao
Impact in
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- Exercise and Physiological Responses
Papers in
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- Muscle Physiology and Disorders 6
- Angiogenesis and VEGF in Cancer 1
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Xian Wu Cheng (20 shared papers)Aiko Inoue (15 shared papers)Masafumi Kuzuya (15 shared papers)Guang Yang (7 shared papers)Yanna Lei (10 shared papers)Lina Hu (8 shared papers)Hongxian Wu (6 shared papers)Guangxian Zhao (6 shared papers)
- Journals
- Hypertension (2 papers)Stem Cell Research & Therapy (2 papers)Journal of Hypertension (2 papers)Journal of Cachexia Sarcopenia and Muscle (2 papers)The FASEB Journal (1 paper)
- Partner nations
- ChinaJapanSouth Korea
In The Last Decade
Limei Piao
21 papers receiving 446 citations
Peers
Comparison fields: 5 of 66
- Rehabilitation 29
- Biological Psychiatry 9
- Endocrinology, Diabetes and Metabolism 57
- Physiology 88
- Oncology 67
Countries citing papers authored by Limei Piao
This map shows the geographic impact of Limei Piao'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 Limei Piao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limei Piao more than expected).
Fields of papers citing papers by Limei Piao
This network shows the impact of papers produced by Limei Piao. 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 Limei Piao. The network helps show where Limei Piao may publish in the future.
Co-authors
The 25 scholars most cited alongside Limei Piao, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 68 | |
| 2 | 2017 | 59 | |
| 3 | 2022 | 39 | |
| 4 | 2020 | 39 | |
| 5 | 2017 | 37 | |
| 6 | 2023 | 21 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2017 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2016 | 5 | |
| 20 | 2016 | 1 |
About Limei Piao
Limei Piao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 21 papers that have together received 447 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Peptidase Inhibition and Analysis (5 papers), Diabetes Treatment and Management (5 papers), Neuropeptides and Animal Physiology (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Nutrition and Health in Aging (2 papers), Exercise and Physiological Responses (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Rehabilitation (29 citations), Biological Psychiatry (9 citations), Endocrinology, Diabetes and Metabolism (57 citations), Physiology (88 citations) and Oncology (67 citations). Limei Piao has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Xian Wu Cheng, Aiko Inoue, Masafumi Kuzuya, Guang Yang, Yanna Lei, Lina Hu, Hongxian Wu, Guangxian Zhao, Zhe Huang and Zhe Huang. Their work appears in journals such as Hypertension, Stem Cell Research & Therapy, Journal of Hypertension, Journal of Cachexia Sarcopenia and Muscle and The FASEB Journal.
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.