Emily Tinsley
- Pathology and Forensic Medicine top 10%
- Cardiology and Cardiovascular Medicine
- Psychiatry and Mental health
- Endocrinology, Diabetes and Metabolism
- Complementary and alternative medicine top 10%
- Co-authors
- Mark S. NashSuzanne L. GroahArmando J. MendezShannon D. SullivanRochelle E. TractenbergAlexander LibinInger LjungbergPatricia Burns
- Topics
- Spinal Cord Injury Research (4 papers)Stroke Rehabilitation and Recovery (3 papers)Hormonal and reproductive studies (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Emily Tinsley
10 papers receiving 274 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Pathology and Forensic Medicine 136
- Cardiology and Cardiovascular Medicine 117
- Psychiatry and Mental health 56
- Endocrinology, Diabetes and Metabolism 45
- Complementary and alternative medicine 39
Countries citing papers authored by Emily Tinsley
This map shows the geographic impact of Emily Tinsley'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 Emily Tinsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Tinsley more than expected).
Fields of papers citing papers by Emily Tinsley
This network shows the impact of papers produced by Emily Tinsley. 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 Emily Tinsley. The network helps show where Emily Tinsley may publish in the future.
Co-authorship network of co-authors of Emily Tinsley
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Tinsley. A scholar is included among the top collaborators of Emily Tinsley 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 Emily Tinsley. Emily Tinsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | Supervised Exercise Training for Chronic Heart Failure With Preserved Ejection Fraction: A Scientific Statement From the American Heart Association and American College of Cardiologybreakdown → | 69 |
| 6 | 18 | |
| 7 | 16 | |
| 8 | 60 | |
| 9 | 29 | |
| 10 | 54 | |
| 11 | 3 |
About Emily Tinsley
Emily Tinsley is a scholar working on Rehabilitation, Complementary and alternative medicine and Pathology and Forensic Medicine, having authored 11 papers that have together received 279 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (4 papers), Stroke Rehabilitation and Recovery (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (136 citations), Rehabilitation (38 citations) and Cardiology and Cardiovascular Medicine (117 citations). Emily Tinsley has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mark S. Nash, Suzanne L. Groah, Armando J. Mendez, Shannon D. Sullivan, Rochelle E. Tractenberg, Alexander Libin, Inger Ljungberg, Patricia Burns, Larry F. Hamm and Maya Guglin. Their work appears in journals such as Circulation, Nature Genetics and Molecular Cell.
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.