Tisha Joy
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 17
- Lipoproteins and Cardiovascular Health 11
-
- Nuclear Structure and Function 5
- RNA Research and Splicing 4
- Co-authors
- Robert A. Hegele (18 shared papers)Charles A. McKenzie (3 shared papers)Melanie Beaton (3 shared papers)Kelly L. Summers (3 shared papers)Brian K. Rutt (2 shared papers)Rebecca L. Pollex (2 shared papers)Piya Lahiry (1 shared paper)Rommel G. Tirona (2 shared papers)
- Journals
- Diabetes (2 papers)AIDS (2 papers)Pharmacology & Therapeutics (2 papers)Annals of Internal Medicine (2 papers)Journal of Lipid Research (2 papers)
- Partner nations
- CanadaUnited StatesChad
In The Last Decade
Tisha Joy
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Endocrinology, Diabetes and Metabolism 437
- Surgery 635
- Emergency Medicine 138
- Virology 59
- Epidemiology 418
Countries citing papers authored by Tisha Joy
This map shows the geographic impact of Tisha Joy'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 Tisha Joy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tisha Joy more than expected).
Fields of papers citing papers by Tisha Joy
This network shows the impact of papers produced by Tisha Joy. 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 Tisha Joy. The network helps show where Tisha Joy may publish in the future.
Co-authors
The 25 scholars most cited alongside Tisha Joy, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 330 | |
| 2 | 2020 | 254 | |
| 3 | 2017 | 124 | |
| 4 | 2008 | 105 | |
| 5 | 2007 | 95 | |
| 6 | 2014 | 80 | |
| 7 | 2008 | 64 | |
| 8 | 2004 | 63 | |
| 9 | 2009 | 53 | |
| 10 | 2008 | 50 | |
| 11 | 2007 | 50 | |
| 12 | 2009 | 44 | |
| 13 | 2007 | 44 | |
| 14 | 2003 | 40 | |
| 15 | 2013 | 34 | |
| 16 | 2012 | 33 | |
| 17 | 2009 | 30 | |
| 18 | 2011 | 30 | |
| 19 | 2008 | 26 | |
| 20 | 2012 | 22 |
About Tisha Joy
Tisha Joy is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Nuclear Structure and Function (5 papers), Cancer, Lipids, and Metabolism (4 papers), RNA Research and Splicing (4 papers), HIV-related health complications and treatments (3 papers), Gestational Diabetes Research and Management (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (437 citations), Surgery (635 citations), Emergency Medicine (138 citations), Virology (59 citations) and Epidemiology (418 citations). Tisha Joy has collaborated with scholars based in Canada, United States and Chad. Frequent co-authors include Robert A. Hegele, Charles A. McKenzie, Melanie Beaton, Kelly L. Summers, Brian K. Rutt, Rebecca L. Pollex, Piya Lahiry, Rommel G. Tirona, Jian Wang and Shannon Seney. Their work appears in journals such as Diabetes, AIDS, Pharmacology & Therapeutics, Annals of Internal Medicine and Journal of Lipid Research.
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.