Shaoyong Su
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
Papers in
-
- Stress Responses and Cortisol 12
- Co-authors
- Xiaoling WangHarold SniederFrank A. TreiberViola VaccarinoDongfeng GuGregory A. HarshfieldJ. Douglas BremnerJack Goldberg
- Journals
- Hypertension (8 papers)Scientific Reports (5 papers)Circulation (5 papers)Journal of Hypertension (4 papers)The FASEB Journal (4 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Shaoyong Su
103 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 137
- Biological Psychiatry 304
- Behavioral Neuroscience 419
- Cardiology and Cardiovascular Medicine 1.5k
- Pediatrics, Perinatology and Child Health 604
- Endocrine and Autonomic Systems 170
Countries citing papers authored by Shaoyong Su
This map shows the geographic impact of Shaoyong Su'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 Shaoyong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoyong Su more than expected).
Fields of papers citing papers by Shaoyong Su
This network shows the impact of papers produced by Shaoyong Su. 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 Shaoyong Su. The network helps show where Shaoyong Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoyong Su, 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 | 2024 | 5 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 25 | |
| 4 | 2021 | 3 | |
| 5 | 2017 | 22 | |
| 6 | 2015 | 42 | |
| 7 | 2014 | 48 | |
| 8 | 2014 | 16 | |
| 9 | 2014 | 4 | |
| 10 | Abstract 008: Genomic and Epigenomic Integration Reveals LY86 as an Important Gene for Obesity | 2013 | 1 |
| 11 | 2012 | 13 | |
| 12 | 2012 | 89 | |
| 13 | 2011 | 71 | |
| 14 | 2010 | 96 | |
| 15 | 2010 | 157 | |
| 16 | 2010 | 44 | |
| 17 | Haplotypes of Serotonin Transporter Gene Associated with Both Depressive Symptoms and Interleukin-6 in Middle-Aged Males: The Twins Heart Study | 2009 | 0 |
| 18 | A Gene-wide Association Study of Heart Rate Variability at Rest and During Stress: 8 Genes in the Parasympathetic Pathway | 2009 | 1 |
| 19 | 2007 | 18 | |
| 20 | 2004 | 15 |
About Shaoyong Su
Shaoyong Su is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 108 papers that have together received 4.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Heart Rate Variability and Autonomic Control (16 papers), Birth, Development, and Health (15 papers), Blood Pressure and Hypertension Studies (14 papers), Stress Responses and Cortisol (12 papers), Cardiovascular Health and Disease Prevention (11 papers), Circadian rhythm and melatonin (9 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Biological Psychiatry (304 citations), Behavioral Neuroscience (419 citations), Cardiology and Cardiovascular Medicine (1.5k citations), Pediatrics, Perinatology and Child Health (604 citations) and Endocrine and Autonomic Systems (170 citations). Shaoyong Su has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Xiaoling Wang, Harold Snieder, Frank A. Treiber, Viola Vaccarino, Dongfeng Gu, Gregory A. Harshfield, J. Douglas Bremner, Jack Goldberg, Andrew H. Miller and Guang Hao. Their work appears in journals such as Hypertension, Scientific Reports, Circulation, Journal of Hypertension and The FASEB Journal.
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.