Sandra Sena
Impact in
-
- Cardiovascular Function and Risk Factors
- Cardiovascular Disease and Adiposity
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 3
-
- Adipose Tissue and Metabolism 5
- Diet and metabolism studies 2
- Co-authors
- E. Dale Abel (14 shared papers)Sihem Boudina (7 shared papers)Heather Theobald (6 shared papers)Brian T. O’Neill (3 shared papers)Martin E. Young (1 shared paper)J. J. Wright (3 shared papers)Heiko Bugger (4 shared papers)Vlad G. Zaha (2 shared papers)
- Journals
- Circulation (3 papers)Diabetes (2 papers)Endocrinology (2 papers)Hypertension (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Sandra Sena
22 papers receiving 2.0k citations
Sandra Sena's Hit Papers
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 935
- Physiology 591
- Geriatrics and Gerontology 48
- Molecular Biology 907
- Aging 20
Countries citing papers authored by Sandra Sena
This map shows the geographic impact of Sandra Sena'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 Sandra Sena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Sena more than expected).
Fields of papers citing papers by Sandra Sena
This network shows the impact of papers produced by Sandra Sena. 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 Sandra Sena. The network helps show where Sandra Sena may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Sena, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitochondrial Energetics in the Heart in Obesity-Related Diabetes Hit paper breakdown → | 2007 | 473 |
| 2 | 2005 | 407 | |
| 3 | 2009 | 237 | |
| 4 | 2008 | 172 | |
| 5 | 2009 | 140 | |
| 6 | 2013 | 103 | |
| 7 | 2009 | 78 | |
| 8 | 2018 | 76 | |
| 9 | 2009 | 57 | |
| 10 | 2012 | 53 | |
| 11 | 2012 | 52 | |
| 12 | 2012 | 44 | |
| 13 | 2007 | 37 | |
| 14 | 2003 | 33 | |
| 15 | 2010 | 15 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2017 | 7 | |
| 19 | 2005 | 7 | |
| 20 | 2005 | 5 |
About Sandra Sena
Sandra Sena is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Surgery and Pathology and Forensic Medicine, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Cardiovascular Function and Risk Factors (5 papers), Metabolism, Diabetes, and Cancer (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Autophagy in Disease and Therapy (2 papers), Pancreatic function and diabetes (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (935 citations), Physiology (591 citations), Geriatrics and Gerontology (48 citations), Molecular Biology (907 citations) and Aging (20 citations). Sandra Sena has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include E. Dale Abel, Sihem Boudina, Heather Theobald, Brian T. O’Neill, Martin E. Young, J. J. Wright, Heiko Bugger, Vlad G. Zaha, Xiaoming Sheng and Sheldon E. Litwin. Their work appears in journals such as Circulation, Diabetes, Endocrinology, Hypertension and Hepatology.
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.