Feifei Dai
Impact in
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- Autoimmune Neurological Disorders and Treatments
- Peripheral Neuropathies and Disorders
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Autoimmune Neurological Disorders and Treatments 5
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Xiaojie He (2 shared papers)Jiandong Pan (1 shared paper)Jiawei Wang (5 shared papers)Qiuying Ma (4 shared papers)Lin Li (4 shared papers)Xi Zhang (1 shared paper)Ming‐Xi Zang (3 shared papers)Minghui Yang (3 shared papers)
In The Last Decade
Feifei Dai
19 papers receiving 250 citations
Peers
Comparison fields: 5 of 64
- Neurology 81
- Cancer Research 27
- Oncology 34
- Biological Psychiatry 3
- Tourism, Leisure and Hospitality Management 2
Countries citing papers authored by Feifei Dai
This map shows the geographic impact of Feifei Dai'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 Feifei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Dai more than expected).
Fields of papers citing papers by Feifei Dai
This network shows the impact of papers produced by Feifei Dai. 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 Feifei Dai. The network helps show where Feifei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Dai, 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 | 2022 | 37 | |
| 2 | 2017 | 33 | |
| 3 | 2020 | 28 | |
| 4 | 2018 | 27 | |
| 5 | 2022 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2023 | 18 | |
| 9 | 2020 | 13 | |
| 10 | 2025 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 4 | |
| 14 | Study on the Acceptance Behavior of College Students to the Ways of Acquiring Short Video Tourism Information Based on the Extended UTAUT Model | 2021 | 4 |
| 15 | 2014 | 3 | |
| 16 | 2023 | 2 | |
| 17 | [Ocular syndromes in patients with neurobrucellosis]. | 2015 | 2 |
| 18 | 2025 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2023 | 0 |
About Feifei Dai
Feifei Dai is a scholar working on Neurology, Cancer Research, Epidemiology, Geriatrics and Gerontology and Artificial Intelligence, having authored 21 papers that have together received 254 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (5 papers), Natural Language Processing Techniques (2 papers), Cancer-related molecular mechanisms research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Topic Modeling (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Neurology (81 citations), Cancer Research (27 citations), Oncology (34 citations), Biological Psychiatry (3 citations) and Tourism, Leisure and Hospitality Management (2 citations). Feifei Dai has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Xiaojie He, Jiandong Pan, Jiawei Wang, Qiuying Ma, Lin Li, Xi Zhang, Ming‐Xi Zang, Minghui Yang, Mengjiao Zhou and Lin Sun. Their work appears in journals such as BMC Neurology, Nutrients, Aging, Journal of Cellular Physiology and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.