Hongmei Yu
- Physiology top 1%
- Alzheimer's disease research and treatments 11
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 29
- Neurological disorders and treatments 15
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 6
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 25
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 29
- Neurological disorders and treatments 15
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- Advanced Neuroimaging Techniques and Applications 11
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- Functional Brain Connectivity Studies 7
- Co-authors
- David J. BeebeLiye ZhouRuifeng LiangRunlian HeIvar MeyvantssonLane K. BekarMaria Luisa CotrinaXiaoning Han
- Cited by
- PhysiologyNeurologyCancer Research
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hongmei Yu
147 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 175
- Physiology 202
- Neurology 247
- Cancer Research 363
- Psychiatry and Mental health 353
- Neurology 315
Countries citing papers authored by Hongmei Yu
This map shows the geographic impact of Hongmei Yu'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 Hongmei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongmei Yu more than expected).
Fields of papers citing papers by Hongmei Yu
This network shows the impact of papers produced by Hongmei Yu. 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 Hongmei Yu. The network helps show where Hongmei Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongmei Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2021 | 2 | |
| 18 | 2021 | 9 | |
| 19 | 2013 | 120 | |
| 20 | The Studies on the Preventative Measures Against the Harming of the False Chinch (Nysius ericae) in Malberry Field | 2002 | 1 |
About Hongmei Yu
Hongmei Yu is a scholar working on Neurology, Psychiatry and Mental health and Cancer Research, having authored 159 papers that have together received 3.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (29 papers), Dementia and Cognitive Impairment Research (25 papers), Neurological disorders and treatments (15 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Cancer-related molecular mechanisms research (11 papers), Alzheimer's disease research and treatments (11 papers), Functional Brain Connectivity Studies (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Physiology (202 citations), Neurology (247 citations) and Cancer Research (363 citations). Hongmei Yu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David J. Beebe, Liye Zhou, Ruifeng Liang, Runlian He, Ivar Meyvantsson, Lane K. Bekar, Maria Luisa Cotrina, Xiaoning Han, Guo-Feng Tian and Steven A. Goldman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.