M. Yu

403 total citations
10 papers, 360 citations indexed

About

M. Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology. According to data from OpenAlex, M. Yu has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in M. Yu's work include Hormonal Regulation and Hypertension (7 papers), Aldose Reductase and Taurine (5 papers) and Birth, Development, and Health (3 papers). M. Yu is often cited by papers focused on Hormonal Regulation and Hypertension (7 papers), Aldose Reductase and Taurine (5 papers) and Birth, Development, and Health (3 papers). M. Yu collaborates with scholars based in Canada, United States and Czechia. M. Yu's co-authors include Kaiping Yang, M. W. Khalil, R. Sampathkumar, Magdalena Pasarica, Kimber L. Stanhope, Peter J. Havel, A. R. Heydari, Sharada D. Vangipuram, Nikhil V. Dhurandhar and Jingjing Tian and has published in prestigious journals such as International Journal of Obesity, American Journal of Physiology-Heart and Circulatory Physiology and Biology of Reproduction.

In The Last Decade

M. Yu

9 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Yu Canada 9 172 85 75 70 48 10 360
Tasoula Tsilchorozidou United Kingdom 9 174 1.0× 55 0.6× 26 0.3× 93 1.3× 40 0.8× 12 518
MacDonald Pc United States 9 140 0.8× 131 1.5× 70 0.9× 103 1.5× 55 1.1× 15 655
Laura Pellatt United Kingdom 12 175 1.0× 81 1.0× 89 1.2× 197 2.8× 29 0.6× 14 1.1k
Louis Granger Canada 13 143 0.8× 45 0.5× 73 1.0× 88 1.3× 16 0.3× 18 779
Charlotte L. Branchaud Canada 10 154 0.9× 59 0.7× 105 1.4× 89 1.3× 24 0.5× 24 368
Susan Gelding United Kingdom 14 363 2.1× 89 1.0× 71 0.9× 129 1.8× 116 2.4× 27 871
Juuso Mäkinen Finland 10 349 2.0× 151 1.8× 14 0.2× 71 1.0× 19 0.4× 15 581
Xuming Sun United States 15 147 0.9× 157 1.8× 24 0.3× 185 2.6× 49 1.0× 34 542
Massimo U. De Martino United States 13 159 0.9× 140 1.6× 13 0.2× 179 2.6× 99 2.1× 14 551

Countries citing papers authored by M. Yu

Since Specialization
Citations

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

Fields of papers citing papers by M. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Yu

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

All Works

10 of 10 papers shown
1.
Yu, M., et al.. (2025). Advancements in diabetic foot ulcer therapy: The role of exosomes and decellularised extracellular matrix scaffolds. Diabetes Research and Clinical Practice. 226. 112364–112364.
2.
Vangipuram, Sharada D., M. Yu, Jingjing Tian, et al.. (2006). Adipogenic human adenovirus-36 reduces leptin expression and secretion and increases glucose uptake by fat cells. International Journal of Obesity. 31(1). 87–96. 99 indexed citations
3.
Tschöpe, Carsten, Alexander Reinecke, Ulrich Seidl, et al.. (1999). Functional, biochemical, and molecular investigations of renal kallikrein-kinin system in diabetic rats. American Journal of Physiology-Heart and Circulatory Physiology. 277(6). H2333–H2340. 44 indexed citations
5.
Sampathkumar, R., M. Yu, M. W. Khalil, & Kaiping Yang. (1997). Metyrapone is a competitive inhibitor of 11β-hydroxysteroid dehydrogenase type 1 reductase. The Journal of Steroid Biochemistry and Molecular Biology. 62(2-3). 195–199. 53 indexed citations
6.
Yu, M., et al.. (1996). Ovine 11β-hydroxysteroid dehydrogenase type 2 gene predicts a protein distinct from that deduced by the cloned kidney cDNA at the C-terminus. Molecular and Cellular Endocrinology. 119(1). 113–118. 16 indexed citations
7.
Yang, Kaiping, Mhoyra Fraser, M. Yu, et al.. (1996). Pattern of 11β-Hydroxysteroid Dehydrogenase Type 1 Messenger Ribonucleic Acid Expression in the Ovine Uterus during the Estrous Cycle and Pregnancy1. Biology of Reproduction. 55(6). 1231–1236. 13 indexed citations
8.
Yang, Kaiping, M. Yu, & Victor K. M. Han. (1995). Identification and tissue distribution of a novel variant of 11β-hydroxysteroid dehydrogenase 1 transcript. The Journal of Steroid Biochemistry and Molecular Biology. 55(2). 247–253. 22 indexed citations
9.
Matthews, Stephen G., et al.. (1995). Differential expression of 11β-hydroxysteroid dehydrogenase 1 and 2 in the developing ovine fetal liver and kidney. Journal of Endocrinology. 147(3). 405–411. 31 indexed citations
10.
Yang, Kaiping & M. Yu. (1994). Evidence for distinct isoforms of 11β-hydroxysteroid dehydrogenase in the ovine liver and kidney. The Journal of Steroid Biochemistry and Molecular Biology. 49(2-3). 245–250. 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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