Mingzi Ran
Impact in
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Sleep and Wakefulness Research 6
- Neural dynamics and brain function 3
- Memory and Neural Mechanisms 2
- Co-authors
- Hailong Dong (10 shared papers)Xiaobing Fu (4 shared papers)Siming Yang (4 shared papers)Jie Yang (2 shared papers)Kui Ma (3 shared papers)Hongyu Li (1 shared paper)Ye Lin (1 shared paper)Cen Yang (3 shared papers)
- Journals
- British Journal of Anaesthesia (3 papers)Neuropeptides (2 papers)Behavioural Brain Research (1 paper)Brain Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited KingdomSwitzerland
In The Last Decade
Mingzi Ran
18 papers receiving 538 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Developmental Neuroscience 81
- Endocrine and Autonomic Systems 93
- Cognitive Neuroscience 234
- Biological Psychiatry 27
- Cellular and Molecular Neuroscience 192
Countries citing papers authored by Mingzi Ran
This map shows the geographic impact of Mingzi Ran'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 Mingzi Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzi Ran more than expected).
Fields of papers citing papers by Mingzi Ran
This network shows the impact of papers produced by Mingzi Ran. 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 Mingzi Ran. The network helps show where Mingzi Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingzi Ran, 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 | New insight into neurological degeneration: Inflammatory cytokines and blood–brain barrier Hit paper breakdown → | 2022 | 148 |
| 2 | 2018 | 69 | |
| 3 | 2019 | 54 | |
| 4 | 2015 | 45 | |
| 5 | 2020 | 37 | |
| 6 | 2016 | 34 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 30 | |
| 10 | 2014 | 17 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2017 | 8 | |
| 14 | 2018 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 |
About Mingzi Ran
Mingzi Ran is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 18 papers that have together received 546 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (6 papers), Circadian rhythm and melatonin (4 papers), Sleep and related disorders (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (2 papers), Barrier Structure and Function Studies (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (81 citations), Endocrine and Autonomic Systems (93 citations), Cognitive Neuroscience (234 citations), Biological Psychiatry (27 citations) and Cellular and Molecular Neuroscience (192 citations). Mingzi Ran has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Hailong Dong, Xiaobing Fu, Siming Yang, Jie Yang, Kui Ma, Hongyu Li, Ye Lin, Cen Yang, Tong Li and Qianzi Yang. Their work appears in journals such as British Journal of Anaesthesia, Neuropeptides, Behavioural Brain Research, Brain Research and Frontiers in Immunology.
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.