Tina Shah
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- Acute Myocardial Infarction Research 6
- Heart Failure Treatment and Management 5
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Internal Medicine top 5%
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases 10
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- Lipoproteins and Cardiovascular Health 13
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- Genetic Associations and Epidemiology 7
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- Electronic Health Records Systems 4
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- Chronic Obstructive Pulmonary Disease (COPD) Research 4
Tina Shah
67 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cardiology and Cardiovascular Medicine 1.2k
- Endocrinology, Diabetes and Metabolism 389
- Internal Medicine 83
- Issues, ethics and legal aspects 25
- Epidemiology 622
Countries citing papers authored by Tina Shah
This map shows the geographic impact of Tina Shah'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 Tina Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Shah more than expected).
Fields of papers citing papers by Tina Shah
This network shows the impact of papers produced by Tina Shah. 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 Tina Shah. The network helps show where Tina Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tina Shah, 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 | 27 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 1 | |
| 4 | Cardiac Rehabilitation for Patients With Heart Failurebreakdown → | 2021 | 175 |
| 5 | 2021 | 8 | |
| 6 | 2020 | 3 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 27 | |
| 11 | Abstract 20323: Human Immunodeficiency Virus (HIV) and Hepatitis C Virus (HCV) Infection and Risk of Adverse Outcomes After ST-Elevation Myocardial Infarction (STEMI) in a Low-Income Urban Population | 2017 | 1 |
| 12 | 2017 | 178 | |
| 13 | 2016 | 43 | |
| 14 | 2011 | 331 | |
| 15 | 2010 | 17 | |
| 16 | Impact of interpersonal counseling on knowledge and lifestyle practices of cardiac patients. | 2009 | 0 |
| 17 | 2009 | 2 | |
| 18 | 2008 | 281 | |
| 19 | 2008 | 129 | |
| 20 | Rare deep-rooting Y chromosome lineages in humans | 2003 | 2 |
About Tina Shah
Tina Shah is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management and Endocrinology, Diabetes and Metabolism, having authored 70 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (13 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Genetic Associations and Epidemiology (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Acute Myocardial Infarction Research (6 papers), Heart Failure Treatment and Management (5 papers), Electronic Health Records Systems (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (389 citations) and Internal Medicine (83 citations). Tina Shah has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Aroon D. Hingorani, Juan P. Casas, Michael V. Holmes, Pablo Perel, John Danesh, Mark B. Pepys, Steve E. Humphries, Jorgen Engmann, R. Tamara Konetzka and Marcelo Coca Perraillon.
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.