Xiaopeng Ji
Impact in
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- Sleep and related disorders
- Sleep and Work-Related Fatigue
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
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- Sleep and related disorders 28
- Sleep and Work-Related Fatigue 5
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- Health and Lifestyle Studies 4
- Co-authors
- Jianghong Liu (20 shared papers)Naixue Cui (8 shared papers)Jin Liu (1 shared paper)Michael A. Grandner (1 shared paper)Jennifer Saylor (6 shared papers)Junxin Li (5 shared papers)Changgui Li (12 shared papers)Eunice Chee (9 shared papers)
- Journals
- SLEEP (6 papers)Lara D. Veeken (5 papers)CIN Computers Informatics Nursing (4 papers)World Journal of Pediatrics (3 papers)Arthritis Research & Therapy (2 papers)
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Xiaopeng Ji
66 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 129
- Experimental and Cognitive Psychology 395
- Nephrology 136
- Endocrine and Autonomic Systems 74
- Cognitive Neuroscience 158
- General Health Professions 153
Countries citing papers authored by Xiaopeng Ji
This map shows the geographic impact of Xiaopeng Ji'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 Xiaopeng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaopeng Ji more than expected).
Fields of papers citing papers by Xiaopeng Ji
This network shows the impact of papers produced by Xiaopeng Ji. 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 Xiaopeng Ji. The network helps show where Xiaopeng Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaopeng Ji, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 98 | |
| 2 | 2016 | 72 | |
| 3 | 2016 | 50 | |
| 4 | 2016 | 48 | |
| 5 | 2022 | 46 | |
| 6 | 2019 | 40 | |
| 7 | 2014 | 39 | |
| 8 | 2015 | 34 | |
| 9 | 2015 | 33 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 27 | |
| 12 | 2022 | 27 | |
| 13 | 2017 | 27 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2022 | 23 | |
| 17 | 2019 | 23 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2022 | 17 |
About Xiaopeng Ji
Xiaopeng Ji is a scholar working on Experimental and Cognitive Psychology, General Health Professions, Nephrology, Cognitive Neuroscience and Public Health, Environmental and Occupational Health, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sleep and related disorders (28 papers), Gout, Hyperuricemia, Uric Acid (13 papers), Sleep and Wakefulness Research (10 papers), Sleep and Work-Related Fatigue (5 papers), Case Reports on Hematomas (5 papers), Diabetes Management and Research (4 papers), Health and Lifestyle Studies (4 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (395 citations), Nephrology (136 citations), Endocrine and Autonomic Systems (74 citations), Cognitive Neuroscience (158 citations) and General Health Professions (153 citations). Xiaopeng Ji has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Jianghong Liu, Naixue Cui, Jin Liu, Michael A. Grandner, Jennifer Saylor, Junxin Li, Changgui Li, Eunice Chee, Wonshik Chee and Eun‐Ok Im. Their work appears in journals such as SLEEP, Lara D. Veeken, CIN Computers Informatics Nursing, World Journal of Pediatrics and Arthritis Research & Therapy.
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.