Gail T. McDonald
- Obstetrics and Gynecology top 5%
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- Multiple Myeloma Research and Treatments 4
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- Bladder and Urothelial Cancer Treatments 3
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- Protein Degradation and Inhibitors 3
- PI3K/AKT/mTOR signaling in cancer 2
- Cell death mechanisms and regulation 2
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- Chronic Lymphocytic Leukemia Research 2
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- Congenital Heart Disease Studies 2
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- Cancer, Lipids, and Metabolism 2
- Co-authors
- Charles H. GrahamShannyn K. Macdonald-GoodfellowLynne‐Marie PostovitStephen J. RenaudStanley J. GoldbergHugh D. AllenDavid J. SahnS Martin
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Gail T. McDonald
16 papers receiving 306 citations
Peers
Comparison fields: 5 of 62
- Obstetrics and Gynecology 99
- Immunology 117
- Hematology 28
- Reproductive Medicine 21
- Pediatrics, Perinatology and Child Health 47
Countries citing papers authored by Gail T. McDonald
This map shows the geographic impact of Gail T. McDonald'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 Gail T. McDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail T. McDonald more than expected).
Fields of papers citing papers by Gail T. McDonald
This network shows the impact of papers produced by Gail T. McDonald. 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 Gail T. McDonald. The network helps show where Gail T. McDonald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gail T. McDonald, 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 | 2021 | 3 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 1 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 4 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 6 | |
| 8 | 2018 | 3 | |
| 9 | 2015 | 19 | |
| 10 | 2015 | 0 | |
| 11 | 2010 | 30 | |
| 12 | INHIBITION OF PHOSPHATIDYLINOSITOL 3-KINASE (PI3K) SIGNALLING LEADS TO RESISTANCE TO CHEMOTHERAPEUTIC AGENTS IN HUMAN CANCER CELLS | 2008 | 1 |
| 13 | 2005 | 126 | |
| 14 | Switching from depot antipsychotics to risperidone: results of a study of chronic schizophrenia. The Schizophrenia Treatment & Assessment Group. | 1999 | 30 |
| 15 | 1995 | 10 | |
| 16 | 1978 | 6 | |
| 17 | 1977 | 38 |
About Gail T. McDonald
Gail T. McDonald is a scholar working on Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 317 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Congenital Heart Disease Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (99 citations), Immunology (117 citations) and Hematology (28 citations). Gail T. McDonald has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Charles H. Graham, Shannyn K. Macdonald-Goodfellow, Lynne‐Marie Postovit, Stephen J. Renaud, Stanley J. Goldberg, Hugh D. Allen, David J. Sahn, S Martin, Richard Sullivan and Geneviève C. Paré. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Blood.
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.