Hongmei Yu
- Molecular Biology top 10%
- Cancer Research top 5%
- Psychiatry and Mental health top 5%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- David J. BeebeLiye ZhouRuifeng LiangRunlian HeIvar MeyvantssonLane K. BekarMaria Luisa CotrinaXiaoning Han
- Topics
- Parkinson's Disease Mechanisms and Treatments (29 papers)Dementia and Cognitive Impairment Research (25 papers)Neurological disorders and treatments (15 papers)
- Cited by
- PhysiologyNeurologyCancer Research
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hongmei Yu
147 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 175
- Molecular Biology 817
- Cancer Research 363
- Psychiatry and Mental health 353
- Physiology 332
- 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 of co-authors of Hongmei Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongmei Yu. A scholar is included among the top collaborators of Hongmei Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongmei Yu. Hongmei Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 120 | |
| 20 | The Studies on the Preventative Measures Against the Harming of the False Chinch (Nysius ericae) in Malberry Field | 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) and Neurological disorders and treatments (15 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.