Minyan Jiang

546 total citations
39 papers, 366 citations indexed

About

Minyan Jiang is a scholar working on Clinical Biochemistry, Molecular Biology and Physiology. According to data from OpenAlex, Minyan Jiang has authored 39 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Biochemistry, 14 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Minyan Jiang's work include Metabolism and Genetic Disorders (15 papers), Pancreatic function and diabetes (5 papers) and Neonatal Health and Biochemistry (4 papers). Minyan Jiang is often cited by papers focused on Metabolism and Genetic Disorders (15 papers), Pancreatic function and diabetes (5 papers) and Neonatal Health and Biochemistry (4 papers). Minyan Jiang collaborates with scholars based in China, Malaysia and United States. Minyan Jiang's co-authors include Li Liu, Yanna Cai, Yunting Lin, Yongxian Shao, Xiaoyuan Zhao, Xiuzhen Li, Jing Cheng, Ting Guo, Yonglan Huang and Peng Huang and has published in prestigious journals such as Cellular and Molecular Life Sciences, RSC Advances and Food and Chemical Toxicology.

In The Last Decade

Minyan Jiang

37 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minyan Jiang China 11 128 70 70 64 56 39 366
Deborah Ramini Italy 14 156 1.2× 34 0.5× 24 0.3× 105 1.6× 37 0.7× 25 454
Abdolkarim Mahrooz Iran 15 154 1.2× 178 2.5× 32 0.5× 29 0.5× 63 1.1× 35 449
Kristen Renee McSweeney Australia 6 182 1.4× 12 0.2× 116 1.7× 43 0.7× 32 0.6× 10 615
Chengxia Kan China 13 193 1.5× 37 0.5× 35 0.5× 85 1.3× 54 1.0× 46 518
Karen Sheehy Australia 6 92 0.7× 78 1.1× 95 1.4× 33 0.5× 67 1.2× 6 527
Udom Chantharaksri Thailand 13 86 0.7× 23 0.3× 35 0.5× 28 0.4× 33 0.6× 29 399
Ryoichi Yano Japan 11 115 0.9× 28 0.4× 41 0.6× 19 0.3× 36 0.6× 31 376
Mark A. Bryniarski United States 10 188 1.5× 66 0.9× 16 0.2× 94 1.5× 33 0.6× 14 411
Xiaoke Wu China 11 132 1.0× 8 0.1× 112 1.6× 16 0.3× 27 0.5× 40 583
Toshio Kubota Japan 12 97 0.8× 19 0.3× 27 0.4× 23 0.4× 68 1.2× 29 412

Countries citing papers authored by Minyan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Minyan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minyan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Minyan Jiang. A scholar is included among the top collaborators of Minyan Jiang 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 Minyan Jiang. Minyan Jiang 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.
Jiang, Minyan, Yanmei Qi, Jianfei Li, et al.. (2025). Unveiling Aging and Alzheimer's Disease–Associated Dynamics of LINE1 DNA Content and Protein Expression in Mouse Brains. Aging Cell. 24(12). e70296–e70296.
2.
Cheng, Jia, et al.. (2025). Mapping 20 years of fluorescence-guided surgery: a bibliometric landscape analysis. 3(1). 1 indexed citations
3.
Zhang, Wendong, Yonglan Huang, Xueying Su, et al.. (2025). Allogeneic hematopoietic stem cell transplantation for mucopolysaccharidosis patients: a single-center experience and assessment of quality of life. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 51(1). 83–83. 2 indexed citations
4.
Jiang, Minyan, Yongxian Shao, Zongcai Liu, et al.. (2023). Features of liver injury in 138 Chinese patients with NICCD. Journal of Pediatric Endocrinology and Metabolism. 36(12). 1154–1160. 1 indexed citations
5.
Zhang, Yani, Jinghui Chen, Minyan Jiang, et al.. (2023). Modified nusinersen intrathecal injection method: inclusion of a septal needle-free closed infusion connector. Frontiers in Neurology. 14. 1234442–1234442. 1 indexed citations
6.
Shao, Yongxian, Xiuzhen Li, Yanna Cai, et al.. (2022). Mitochondrial FAD shortage in SLC25A32 deficiency affects folate-mediated one-carbon metabolism. Cellular and Molecular Life Sciences. 79(7). 375–375. 8 indexed citations
7.
Shao, Yongxian, et al.. (2022). A very rare case report of glycogen storage disease type IXc with novel PHKG2 variants. BMC Pediatrics. 22(1). 267–267. 2 indexed citations
8.
Jiang, Minyan, Wen Zhang, Yunting Lin, et al.. (2022). Glucose-6-Phosphate dehydrogenase deficiency associated hemolysis in a cohort of new onset type 1 diabetes children in Guangdong province, China. Diabetology & Metabolic Syndrome. 14(1). 43–43. 3 indexed citations
9.
Guo, Ting, Qinxue Shen, Wei Guo, et al.. (2020). Clinical Characteristics of Elderly Patients with COVID-19 in Hunan Province, China: A Multicenter, Retrospective Study. Gerontology. 66(5). 467–475. 98 indexed citations
10.
Zhang, Wen, Ting Xie, Yongxian Shao, et al.. (2019). Genetic analysis of 63 Chinese patients with mucopolysaccharidosis type II: Functional characterization of seven novel IDS variants. Clinica Chimica Acta. 491. 114–120. 14 indexed citations
11.
Li, Xiuzhen, et al.. (2018). Genetic and clinical characteristics of Chinese children with Glucokinase-maturity-onset diabetes of the young (GCK-MODY). BMC Pediatrics. 18(1). 101–101. 18 indexed citations
12.
Jiang, Minyan, Sha Liu, Hua Jiang, et al.. (2017). Brain abnormalities in fucosidosis: transplantation or supportive therapy?. Metabolic Brain Disease. 32(2). 317–320. 16 indexed citations
13.
Li, Xiuzhen, et al.. (2017). Early transition from insulin to sulfonylureas in neonatal diabetes and follow-up: Experience from China. Pediatric Diabetes. 19(2). 251–258. 15 indexed citations
14.
Jiang, Hua, et al.. (2015). Combination of a Haploidentical Stem Cell Transplant With Umbilical Cord Blood for Cerebral X-Linked Adrenoleukodystrophy. Pediatric Neurology. 53(2). 163–165.e1. 5 indexed citations
15.
Jiang, Minyan & Li Liu. (2015). Williams-Beuren Syndrome: A Case Confirmed by Array-CGH Method. Iranian Journal of Pediatrics. 25(1). e247–e247.
16.
Liu, Li, et al.. (2013). [Gene mutations and clinical manifestations in children with glycogen storage disease type Ib].. PubMed. 15(8). 661–5. 6 indexed citations
17.
Liu, Li, et al.. (2013). Measurement of free carnitine and acylcarnitines in plasma by HILIC-ESI-MS/MS without derivatization. Journal of Chromatography B. 932. 12–18. 35 indexed citations
18.
Jiang, Minyan, et al.. (2012). First case report of short-chain acyl-CoA dehydrogenase deficiency in China. Journal of Pediatric Endocrinology and Metabolism. 25(7-8). 795–7. 1 indexed citations
19.
20.
Luo, Jiahui, et al.. (2010). Separation and Identification of Diarylheptanoids in Supercritical Fluid Extract of Alpinia Officinarum by UPLC-MS-MS. Journal of Chromatographic Science. 48(10). 795–801. 8 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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