Runyu Miao

800 total citations · 1 hit paper
36 papers, 479 citations indexed

About

Runyu Miao is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Runyu Miao has authored 36 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Pharmacology. Recurrent topics in Runyu Miao's work include Metabolomics and Mass Spectrometry Studies (3 papers), Diet and metabolism studies (3 papers) and Gut microbiota and health (3 papers). Runyu Miao is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Diet and metabolism studies (3 papers) and Gut microbiota and health (3 papers). Runyu Miao collaborates with scholars based in China. Runyu Miao's co-authors include Jiaxing Tian, Xinyi Fang, Jiahua Wei, Haoran Wu, Yanjiao Zhang, Yuxin Zhang, Xinmiao Wang, Xiaolin Tong, Xiuge Wang and Yuxin Zhang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Tetrahedron.

In The Last Decade

Runyu Miao

28 papers receiving 470 citations

Hit Papers

Iron metabolism and ferroptosis in type 2 diabetes mellit... 2023 2026 2024 2025 2023 25 50 75 100
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. Iron metabolism and ferroptosis in type 2 diabetes mellitus and complications: mechanisms and therapeutic opportunities
    2023 111 citations Runyu Miao, Xinyi Fang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runyu Miao China 11 196 89 71 62 58 36 479
Jiahua Wei China 8 169 0.9× 73 0.8× 64 0.9× 55 0.9× 52 0.9× 14 383
Ankit P. Laddha India 12 194 1.0× 122 1.4× 48 0.7× 69 1.1× 31 0.5× 28 599
Fang Zhong China 19 417 2.1× 59 0.7× 70 1.0× 50 0.8× 58 1.0× 47 900
Wenqi Li China 15 280 1.4× 39 0.4× 64 0.9× 39 0.6× 67 1.2× 53 694
Hyeongjoo Oh South Korea 16 213 1.1× 70 0.8× 34 0.5× 34 0.5× 47 0.8× 24 519
Jiaojiao Liang China 13 277 1.4× 50 0.6× 66 0.9× 41 0.7× 88 1.5× 19 537
Ting Jiang China 13 271 1.4× 76 0.9× 84 1.2× 45 0.7× 94 1.6× 30 673
Laura Toma Romania 14 138 0.7× 135 1.5× 59 0.8× 48 0.8× 68 1.2× 27 573
Min Luo China 15 180 0.9× 47 0.5× 75 1.1× 54 0.9× 34 0.6× 45 502

Countries citing papers authored by Runyu Miao

Since Specialization
Citations

This map shows the geographic impact of Runyu Miao'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 Runyu Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyu Miao more than expected).

Fields of papers citing papers by Runyu Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runyu Miao. 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 Runyu Miao. The network helps show where Runyu Miao may publish in the future.

Co-authorship network of co-authors of Runyu Miao

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

All Works

20 of 20 papers shown
1.
Fang, Xinyi, Liyan Miao, Yanjiao Zhang, et al.. (2025). Traditional Chinese medicine phenomics research on glycolipid metabolism disorder: a review. Digital Chinese Medicine. 8(1). 49–58. 1 indexed citations
2.
3.
Yin, Ruiyang, Yanjiao Zhang, Xinyi Fang, et al.. (2025). Discovering diabetes complications-related microRNAs: meta-analyses and pathway modeling approach. BMC Medical Genomics. 18(1). 86–86. 3 indexed citations
4.
Miao, Runyu, Yanjiao Zhang, Yuxin Zhang, et al.. (2025). Jiangtang Tiaozhi formula ameliorates MASLD by regulating liver ABCD2/PEX2/ATGL axis-mediated fatty acid metabolic reprogramming. Phytomedicine. 145. 157032–157032.
5.
Miao, Liyan, et al.. (2025). Metabolic reprogramming of pancreatic beta cells in type 2 diabetes and its therapeutic strategy. Ageing Research Reviews. 113. 102938–102938.
6.
7.
Fang, Xinyi, Yuxin Zhang, Yanjiao Zhang, et al.. (2024). Microbiomic insights into the oral microbiome’s role in type 2 diabetes mellitus: standardizing approaches for future advancements. Frontiers in Endocrinology. 15. 1416611–1416611.
8.
Miao, Runyu, et al.. (2024). GR-pKa: a message-passing neural network with retention mechanism for pKa prediction. Briefings in Bioinformatics. 25(5). 2 indexed citations
9.
Fang, Xinyi, Yuxin Zhang, Yanjiao Zhang, et al.. (2024). Endothelial extracellular vesicles: their possible function and clinical significance in diabetic vascular complications. Journal of Translational Medicine. 22(1). 944–944. 7 indexed citations
10.
Tian, Jiaxing, Ping Niu, Yuxin Zhang, et al.. (2024). Advances in secondary prevention mechanisms of macrovascular complications in type 2 diabetes mellitus patients: a comprehensive review. European journal of medical research. 29(1). 152–152. 10 indexed citations
11.
Li, Jiarui, Ping Niu, Yuxin Zhang, et al.. (2024). Exploring the design of clinical research studies on the efficacy mechanisms in type 2 diabetes mellitus. Frontiers in Endocrinology. 15. 1363877–1363877. 4 indexed citations
12.
Zhang, Yuxin, Yanjiao Zhang, Ruiyang Yin, et al.. (2024). Multi-omics characterization of type 2 diabetes mellitus-induced gastroenteropathy in the db/db mouse model. Frontiers in Cell and Developmental Biology. 12. 1417255–1417255. 3 indexed citations
13.
Fang, Xinyi, Yanjiao Zhang, Runyu Miao, et al.. (2024). Single-cell sequencing: A promising approach for uncovering the characteristic of pancreatic islet cells in type 2 diabetes. Biomedicine & Pharmacotherapy. 173. 116292–116292. 2 indexed citations
14.
Miao, Runyu, et al.. (2023). The durable effect of acupuncture for episodic migraine: a systematic review and meta-analysis. Frontiers in Neuroscience. 17. 1211438–1211438.
15.
16.
Liu, Yudong, Shaojie Liu, Runyu Miao, et al.. (2023). Insight into the relationship between the photostability and molecular structure of rhodamine dyes. Tetrahedron. 149. 133664–133664. 4 indexed citations
17.
18.
Wei, Jiahua, Jiaxing Tian, Cheng Tang, et al.. (2022). The Influence of Different Types of Diabetes on Vascular Complications. Journal of Diabetes Research. 2022. 1–12. 44 indexed citations
19.
Wu, Haoran, Xinyi Fang, De Jin, et al.. (2022). Efficacy and Mechanism of the Jiangtang Tiaozhi Recipe in the Management of Type 2 Diabetes and Dyslipidaemia: A Clinical Trial Protocol. Frontiers in Pharmacology. 13. 827697–827697.
20.
Miao, Runyu, Xinyi Fang, Jiahua Wei, et al.. (2022). Akt: A Potential Drug Target for Metabolic Syndrome. Frontiers in Physiology. 13. 822333–822333. 59 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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