Zhiping Mi
Impact in
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuropeptides and Animal Physiology 4
- Nerve injury and regeneration 3
- Physiology 10
- Alzheimer's disease research and treatments 7
- Pain Mechanisms and Treatments 2
- Co-authors
- Steven H. GrahamMiloš D. IkonomovićEric E. AbrahamsonNina F. SchorŽeljka KoradeRui-Xin ZhangKimberly SnyderGregg E. Homanics
- Journals
- Experimental Neurology (2 papers)Brain Research (2 papers)Neuropathology (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)Neurobiology of Aging (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhiping Mi
24 papers receiving 553 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 220
- Neurology 67
- Developmental Neuroscience 33
- Neurology 89
- Biological Psychiatry 14
Countries citing papers authored by Zhiping Mi
This map shows the geographic impact of Zhiping Mi'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 Zhiping Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiping Mi more than expected).
Fields of papers citing papers by Zhiping Mi
This network shows the impact of papers produced by Zhiping Mi. 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 Zhiping Mi. The network helps show where Zhiping Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhiping Mi, 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 | 2024 | 3 | |
| 2 | 2023 | 53 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 61 | |
| 8 | 2017 | 26 | |
| 9 | 2016 | 41 | |
| 10 | 2016 | 33 | |
| 11 | 2009 | 22 | |
| 12 | 2009 | 6 | |
| 13 | 2008 | 8 | |
| 14 | 2006 | 4 | |
| 15 | 2006 | 43 | |
| 16 | 2005 | 9 | |
| 17 | 1997 | 144 | |
| 18 | 1994 | 37 | |
| 19 | 1993 | 11 | |
| 20 | 1992 | 8 |
About Zhiping Mi
Zhiping Mi is a scholar working on Cellular and Molecular Neuroscience, Physiology, Developmental Neuroscience, Molecular Biology and Immunology and Allergy, having authored 24 papers that have together received 561 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Neuropeptides and Animal Physiology (4 papers), Nerve injury and regeneration (3 papers), Pain Mechanisms and Treatments (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Neurology (67 citations), Developmental Neuroscience (33 citations), Neurology (89 citations) and Biological Psychiatry (14 citations). Zhiping Mi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Steven H. Graham, Miloš D. Ikonomović, Eric E. Abrahamson, Nina F. Schor, Željka Korade, Rui-Xin Zhang, Kimberly Snyder, Gregg E. Homanics, Carolyn Ferguson and Xiaohui Wang. Their work appears in journals such as Experimental Neurology, Brain Research, Neuropathology, Cancer Chemotherapy and Pharmacology and Neurobiology of Aging.
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.