M. Yu
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Hormonal Regulation and Hypertension
Papers in
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- Hormonal Regulation and Hypertension 7
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- Aldose Reductase and Taurine 5
- Co-authors
- Kaiping Yang (6 shared papers)M. W. Khalil (1 shared paper)R. Sampathkumar (1 shared paper)Peter J. Havel (1 shared paper)Sharada D. Vangipuram (1 shared paper)Jingjing Tian (1 shared paper)Magdalena Pasarica (1 shared paper)Kimber L. Stanhope (1 shared paper)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (3 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)International Journal of Obesity (1 paper)Biology of Reproduction (1 paper)Journal of Endocrinology (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
M. Yu
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 62
- Behavioral Neuroscience 37
- Endocrinology, Diabetes and Metabolism 159
- Pediatrics, Perinatology and Child Health 68
- Genetics 32
- Obstetrics and Gynecology 20
Countries citing papers authored by M. Yu
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
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-authors
The 25 scholars most cited alongside M. Yu, 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 | 2006 | 99 | |
| 2 | 1994 | 59 | |
| 3 | 1997 | 53 | |
| 4 | 1999 | 44 | |
| 5 | 1995 | 31 | |
| 6 | 1997 | 23 | |
| 7 | 1995 | 22 | |
| 8 | 1996 | 16 | |
| 9 | 1996 | 13 | |
| 10 | 2025 | 1 |
About M. Yu
M. Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Pediatrics, Perinatology and Child Health, Molecular Biology and Pharmacology, having authored 10 papers that have together received 361 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Aldose Reductase and Taurine (5 papers), Birth, Development, and Health (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Endometriosis Research and Treatment (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Behavioral Neuroscience (37 citations), Endocrinology, Diabetes and Metabolism (159 citations), Pediatrics, Perinatology and Child Health (68 citations), Genetics (32 citations) and Obstetrics and Gynecology (20 citations). M. Yu has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Kaiping Yang, M. W. Khalil, R. Sampathkumar, Peter J. Havel, Sharada D. Vangipuram, Jingjing Tian, Magdalena Pasarica, Kimber L. Stanhope, Nikhil V. Dhurandhar and A. R. Heydari. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, American Journal of Physiology-Heart and Circulatory Physiology, International Journal of Obesity, Biology of Reproduction and Journal of Endocrinology.
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.