Tracy Guo
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Aging top 10%
Papers in
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- Signaling Pathways in Disease 3
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- Cardiac electrophysiology and arrhythmias 4
- Cardiomyopathy and Myosin Studies 3
- Cardiovascular Effects of Exercise 2
- Co-authors
- H. Kirk Hammond (20 shared papers)Mei Hua Gao (20 shared papers)Tong Tang (10 shared papers)N. Chin Lai (16 shared papers)David M. Roth (4 shared papers)Atsushi Miyanohara (8 shared papers)Amy L. Firth (2 shared papers)Jason X.‐J. Yuan (2 shared papers)
- Journals
- Human Gene Therapy (5 papers)PLoS ONE (3 papers)JACC Basic to Translational Science (2 papers)Journal of Biological Chemistry (2 papers)GeroScience (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Tracy Guo
24 papers receiving 485 citations
Peers
Comparison fields: 5 of 59
- Behavioral Neuroscience 57
- Aging 19
- Cardiology and Cardiovascular Medicine 146
- Molecular Biology 255
- Physiology 85
Countries citing papers authored by Tracy Guo
This map shows the geographic impact of Tracy Guo'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 Tracy Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Guo more than expected).
Fields of papers citing papers by Tracy Guo
This network shows the impact of papers produced by Tracy Guo. 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 Tracy Guo. The network helps show where Tracy Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 93 | |
| 2 | 2012 | 45 | |
| 3 | 2004 | 37 | |
| 4 | 2004 | 36 | |
| 5 | 2010 | 34 | |
| 6 | 2008 | 33 | |
| 7 | 2018 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2016 | 19 | |
| 10 | 2018 | 19 | |
| 11 | 2015 | 18 | |
| 12 | 2013 | 17 | |
| 13 | 2010 | 17 | |
| 14 | 2016 | 11 | |
| 15 | 2018 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 5 |
About Tracy Guo
Tracy Guo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Behavioral Neuroscience, Physiology and Genetics, having authored 25 papers that have together received 488 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Adipose Tissue and Metabolism (4 papers), Signaling Pathways in Disease (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Virus-based gene therapy research (3 papers), Cardiovascular Effects of Exercise (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Behavioral Neuroscience (57 citations), Aging (19 citations), Cardiology and Cardiovascular Medicine (146 citations), Molecular Biology (255 citations) and Physiology (85 citations). Tracy Guo has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include H. Kirk Hammond, Mei Hua Gao, Tong Tang, N. Chin Lai, David M. Roth, Atsushi Miyanohara, Amy L. Firth, Jason X.‐J. Yuan, Young Chul Kim and Toshiyuki Takahashi. Their work appears in journals such as Human Gene Therapy, PLoS ONE, JACC Basic to Translational Science, Journal of Biological Chemistry and GeroScience.
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.