Mingzi Ran

791 total citations · 1 hit paper
18 papers, 546 citations indexed

About

Mingzi Ran is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mingzi Ran has authored 18 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mingzi Ran's work include Sleep and Wakefulness Research (6 papers), Sleep and related disorders (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Mingzi Ran is often cited by papers focused on Sleep and Wakefulness Research (6 papers), Sleep and related disorders (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Mingzi Ran collaborates with scholars based in China, United Kingdom and Switzerland. Mingzi Ran's co-authors include Hailong Dong, Xiaobing Fu, Siming Yang, Jie Yang, Kui Ma, Ye Lin, Hongyu Li, Cen Yang, Tong Li and Qianzi Yang and has published in prestigious journals such as Current Biology, Brain Research and Frontiers in Immunology.

In The Last Decade

Mingzi Ran

18 papers receiving 538 citations

Hit Papers

New insight into neurological degeneration: Inflammatory ... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. New insight into neurological degeneration: Inflammatory cytokines and blood–brain barrier
    2022 148 citations Jie Yang, Mingzi Ran et al. Frontiers in Molecular Neuroscience profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingzi Ran China 12 234 192 93 83 81 18 546
Esmail Riahi Iran 16 206 0.9× 210 1.1× 94 1.0× 65 0.8× 24 0.3× 39 640
Tian Yu China 14 246 1.1× 441 2.3× 45 0.5× 22 0.3× 248 3.1× 35 731
Natalie Hauglund Denmark 13 220 0.9× 529 2.8× 181 1.9× 121 1.5× 29 0.4× 20 909
Sebastian R. Schreglmann Switzerland 15 136 0.6× 222 1.2× 42 0.5× 65 0.8× 58 0.7× 27 644
Glenda L. Keating United States 10 176 0.8× 146 0.8× 131 1.4× 23 0.3× 20 0.2× 14 429
Francisco Escamilla‐Sevilla Spain 15 87 0.4× 192 1.0× 68 0.7× 92 1.1× 49 0.6× 44 688
Giorgia Mataluni Italy 14 88 0.4× 268 1.4× 36 0.4× 139 1.7× 64 0.8× 31 817
Satoko Oda Japan 16 188 0.8× 290 1.5× 81 0.9× 42 0.5× 24 0.3× 31 648
Guangyan Dai China 9 94 0.4× 182 0.9× 35 0.4× 120 1.4× 38 0.5× 13 470
Adolfo Mínguez‐Castellanos Spain 16 72 0.3× 234 1.2× 56 0.6× 92 1.1× 51 0.6× 47 749

Countries citing papers authored by Mingzi Ran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mingzi Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzi Ran. A scholar is included among the top collaborators of Mingzi Ran 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 Mingzi Ran. Mingzi Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Guo, Yongxin, Mingzi Ran, Fuyang Cao, et al.. (2024). Sevoflurane exerts antidepressant-like effects via the BDNF-TrkB pathway. Behavioural Brain Research. 463. 114918–114918. 1 indexed citations
3.
Yang, Jie, Hongyu Li, Mingzi Ran, et al.. (2023). Transplantation of Umbilical Cord-Derived Mesenchymal Stem Cells Attenuates Surgical Wound-Induced Blood-Brain Barrier Dysfunction in Mice. Stem Cells International. 2023. 1–10. 3 indexed citations
4.
Yang, Jie, Minglu Xiao, Kui Ma, et al.. (2023). Therapeutic effects of mesenchymal stem cells and their derivatives in common skin inflammatory diseases: Atopic dermatitis and psoriasis. Frontiers in Immunology. 14. 1092668–1092668. 16 indexed citations
5.
6.
Yang, Jie, Mingzi Ran, Hongyu Li, et al.. (2022). New insight into neurological degeneration: Inflammatory cytokines and blood–brain barrier. Frontiers in Molecular Neuroscience. 15. 1013933–1013933. 148 indexed citations breakdown →
7.
Yang, Jie, Jianchao Liu, Mingzi Ran, et al.. (2022). Epidemiology and clinical characteristics of burns in mainland China from 2009 to 2018. Burns & Trauma. 10. tkac039–tkac039. 14 indexed citations
8.
Guo, Juan, Mingzi Ran, Zilong Gao, et al.. (2021). Cell-type-specific imaging of neurotransmission reveals a disrupted excitatory-inhibitory cortical network in isoflurane anaesthesia. EBioMedicine. 65. 103272–103272. 30 indexed citations
9.
Li, Ao, Pengrong Ouyang, Huihui Li, et al.. (2021). Dorsal raphe serotonergic neurons promote arousal from isoflurane anesthesia. CNS Neuroscience & Therapeutics. 27(8). 941–950. 31 indexed citations
10.
Wang, Dan, Yongxin Guo, Huiming Li, et al.. (2020). Selective optogenetic activation of orexinergic terminals in the basal forebrain and locus coeruleus promotes emergence from isoflurane anaesthesia in rats. British Journal of Anaesthesia. 126(1). 279–292. 37 indexed citations
11.
Li, J., Yongxin Guo, Xiang Zhang, et al.. (2019). Orexin activated emergence from isoflurane anaesthesia involves excitation of ventral tegmental area dopaminergic neurones in rats. British Journal of Anaesthesia. 123(4). 497–505. 54 indexed citations
12.
13.
Ran, Mingzi, Zhihua Wang, Ling Zhang, et al.. (2018). Orexin-1 receptor is involved in ageing-related delayed emergence from general anaesthesia in rats. British Journal of Anaesthesia. 121(5). 1097–1104. 5 indexed citations
14.
Gelegen, Çiğdem, Giulia Miracca, Mingzi Ran, et al.. (2018). Excitatory Pathways from the Lateral Habenula Enable Propofol-Induced Sedation. Current Biology. 28(4). 580–587.e5. 69 indexed citations
15.
Zhu, Shu, Jun Ge, Zhongyang Liu, et al.. (2017). Circadian Rhythm Influences the Promoting Role of Pulsed Electromagnetic Fields on Sciatic Nerve Regeneration in Rats. Frontiers in Neurology. 8. 101–101. 8 indexed citations
16.
Zhang, Lina, Cen Yang, Pengrong Ouyang, et al.. (2016). Orexin-A facilitates emergence of the rat from isoflurane anesthesia via mediation of the basal forebrain. Neuropeptides. 58. 7–14. 34 indexed citations
17.
Ran, Mingzi, et al.. (2015). Calorie restriction attenuates cerebral ischemic injury via increasing SIRT1 synthesis in the rat. Brain Research. 1610. 61–68. 45 indexed citations
18.
Li, Tong, Zhixin Wu, Mingzi Ran, et al.. (2014). The Role of SUMO-Conjugating Enzyme Ubc9 in the Neuroprotection of Isoflurane Preconditioning Against Ischemic Neuronal Injury. Molecular Neurobiology. 51(3). 1221–1231. 17 indexed citations

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.

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