Geraldine Macdonell
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Surgery top 10%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 6
- Lipoproteins and Cardiovascular Health 5
- Cholesterol and Lipid Metabolism 1
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Hormonal Regulation and Hypertension 1
- Co-authors
- Michel Farnier (4 shared papers)Yale Mitchel (3 shared papers)Michael J. Davies (3 shared papers)Inna Perevozskaya (3 shared papers)Barry Gumbiner (3 shared papers)Mason W. Freeman (2 shared papers)Eli M. Roth (1 shared paper)Gustavo Méndez (1 shared paper)
- Journals
- European Heart Journal (1 paper)Metabolic Syndrome and Related Disorders (1 paper)American Heart Journal (1 paper)International Journal of Clinical Practice (1 paper)The American Journal of Cardiology (1 paper)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Geraldine Macdonell
7 papers receiving 321 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 125
- Surgery 257
- Cancer Research 71
- Cardiology and Cardiovascular Medicine 38
- Emergency Medicine 15
Countries citing papers authored by Geraldine Macdonell
This map shows the geographic impact of Geraldine Macdonell'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 Geraldine Macdonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geraldine Macdonell more than expected).
Fields of papers citing papers by Geraldine Macdonell
This network shows the impact of papers produced by Geraldine Macdonell. 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 Geraldine Macdonell. The network helps show where Geraldine Macdonell may publish in the future.
Co-authors
The 25 scholars most cited alongside Geraldine Macdonell, 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 | 2005 | 128 | |
| 2 | 2007 | 67 | |
| 3 | 2009 | 57 | |
| 4 | 2008 | 48 | |
| 5 | 2008 | 31 | |
| 6 | 2010 | 7 | |
| 7 | 2005 | 7 |
About Geraldine Macdonell
Geraldine Macdonell is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Oncology, having authored 7 papers that have together received 345 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Cholesterol and Lipid Metabolism (1 paper), Advanced Causal Inference Techniques (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Hormonal Regulation and Hypertension (1 paper) and Pharmacology and Obesity Treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (125 citations), Surgery (257 citations), Cancer Research (71 citations), Cardiology and Cardiovascular Medicine (38 citations) and Emergency Medicine (15 citations). Geraldine Macdonell has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Michel Farnier, Yale Mitchel, Michael J. Davies, Inna Perevozskaya, Barry Gumbiner, Mason W. Freeman, Eli M. Roth, Gustavo Méndez, Arvind Shah and Debra Kush. Their work appears in journals such as European Heart Journal, Metabolic Syndrome and Related Disorders, American Heart Journal, International Journal of Clinical Practice and The American Journal of Cardiology.
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.