Mingyan Guo
Impact in
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- S100 Proteins and Annexins 2
- RNA Interference and Gene Delivery 2
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- Intensive Care Unit Cognitive Disorders 7
- Co-authors
- Zhiyi Zuo (6 shared papers)Phei Er Saw (10 shared papers)Xiaoyan Huang (1 shared paper)Jun Peng (1 shared paper)Yandan Yao (3 shared papers)Yan Nie (4 shared papers)Zhiwen Shen (4 shared papers)Wei Wu (2 shared papers)
- Journals
- Neurochemical Research (2 papers)Toxicology Letters (2 papers)CNS Neuroscience & Therapeutics (2 papers)Pharmacology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Mingyan Guo
30 papers receiving 697 citations
Peers
Comparison fields: 5 of 97
- Developmental Neuroscience 137
- Biological Psychiatry 70
- Critical Care and Intensive Care Medicine 129
- Anesthesiology and Pain Medicine 59
- Neurology 64
Countries citing papers authored by Mingyan Guo
This map shows the geographic impact of Mingyan Guo'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 Mingyan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyan Guo more than expected).
Fields of papers citing papers by Mingyan Guo
This network shows the impact of papers produced by Mingyan Guo. 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 Mingyan Guo. The network helps show where Mingyan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyan Guo, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | 2019 | 128 | |
| 3 | 2019 | 52 | |
| 4 | 2021 | 44 | |
| 5 | 2020 | 36 | |
| 6 | 2019 | 32 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 21 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2022 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2015 | 13 | |
| 20 | 2022 | 11 |
About Mingyan Guo
Mingyan Guo is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Developmental Neuroscience, Oncology and Surgery, having authored 32 papers that have together received 706 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (7 papers), Anesthesia and Neurotoxicity Research (7 papers), Nanoparticle-Based Drug Delivery (5 papers), Cancer Cells and Metastasis (3 papers), Nanoplatforms for cancer theranostics (2 papers), S100 Proteins and Annexins (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Developmental Neuroscience (137 citations), Biological Psychiatry (70 citations), Critical Care and Intensive Care Medicine (129 citations), Anesthesiology and Pain Medicine (59 citations) and Neurology (64 citations). Mingyan Guo has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Zhiyi Zuo, Phei Er Saw, Xiaoyan Huang, Jun Peng, Yandan Yao, Yan Nie, Zhiwen Shen, Wei Wu, Minghui Cao and Xiaoding Xu. Their work appears in journals such as Neurochemical Research, Toxicology Letters, CNS Neuroscience & Therapeutics, Pharmacology and Clinical Cancer Research.
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.