Geraldine Macdonell

437 total citations
7 papers, 344 citations indexed

About

Geraldine Macdonell is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Geraldine Macdonell has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Molecular Biology. Recurrent topics in Geraldine Macdonell's work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cancer, Lipids, and Metabolism (1 paper). Geraldine Macdonell is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cancer, Lipids, and Metabolism (1 paper). Geraldine Macdonell collaborates with scholars based in United States, Mexico and Israel. Geraldine Macdonell's co-authors include Michel Farnier, Yale Mitchel, Inna Perevozskaya, Michael J. Davies, Barry Gumbiner, Mason W. Freeman, Debra Kush, Gustavo Méndez, Arvind Shah and Eli M. Roth and has published in prestigious journals such as European Heart Journal, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Geraldine Macdonell

7 papers receiving 319 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geraldine Macdonell United States	7	283	185	97	52	50	7	344
Evan Stein United States	5	272 1.0×	114 0.6×	82 0.8×	60 1.2×	79 1.6×	7	326
Waheeda Sirah United States	8	206 0.7×	105 0.6×	49 0.5×	36 0.7×	44 0.9×	11	263
H. Prais United Kingdom	8	213 0.8×	190 1.0×	40 0.4×	68 1.3×	45 0.9×	9	409
Euridiki Drogari Greece	12	373 1.3×	182 1.0×	87 0.9×	83 1.6×	60 1.2×	19	544
Thomas Sand United States	6	420 1.5×	292 1.6×	130 1.3×	76 1.5×	26 0.5×	7	545
Robert Reyes United States	5	244 0.9×	128 0.7×	78 0.8×	48 0.9×	59 1.2×	7	401
Andreas Sourlas Greece	12	240 0.8×	172 0.9×	83 0.9×	117 2.3×	46 0.9×	18	517
F. Sato Japan	7	183 0.6×	115 0.6×	64 0.7×	40 0.8×	19 0.4×	9	361
Patrick Ma United States	6	365 1.3×	164 0.9×	91 0.9×	59 1.1×	143 2.9×	8	428
Nuntakorn Thongtang Thailand	9	188 0.7×	137 0.7×	42 0.4×	45 0.9×	40 0.8×	34	310

Countries citing papers authored by Geraldine Macdonell

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Geraldine Macdonell

This figure shows the co-authorship network connecting the top 25 collaborators of Geraldine Macdonell. A scholar is included among the top collaborators of Geraldine Macdonell 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 Geraldine Macdonell. Geraldine Macdonell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Bays, Harold, et al.. (2010). Effects of Coadministered Ezetimibe Plus Fenofibrate in Mixed Dyslipidemic Patients with Metabolic Syndrome. Metabolic Syndrome and Related Disorders. 9(2). 135–142. 7 indexed citations

Maccubbin, Darbie, Michael J. Koren, Michael Davidson, et al.. (2009). Flushing Profile of Extended-Release Niacin/Laropiprant Versus Gradually Titrated Niacin Extended-Release in Patients With Dyslipidemia With and Without Ischemic Cardiovascular Disease. The American Journal of Cardiology. 104(1). 74–81. 57 indexed citations

Tribble, Diane L., Michel Farnier, Geraldine Macdonell, et al.. (2008). Effects of fenofibrate and ezetimibe, both as monotherapy and in coadministration, on cholesterol mass within lipoprotein subfractions and low-density lipoprotein peak particle size in patients with mixed hyperlipidemia. Metabolism. 57(6). 796–801. 31 indexed citations

Lütjohann, Dieter, Klaus von Bergmann, Waheeda Sirah, et al.. (2008). Long-term efficacy and safety of ezetimibe 10 mg in patients with homozygous sitosterolemia: a 2-year, open-label extension study. International Journal of Clinical Practice. 62(10). 1499–1510. 47 indexed citations

Farnier, Michel, Eli M. Roth, Blas Gil Extremera, et al.. (2007). Efficacy and safety of the coadministration of ezetimibe/simvastatin with fenofibrate in patients with mixed hyperlipidemia. American Heart Journal. 153(2). 335.e1–335.e8. 67 indexed citations

Farnier, Michel, Mason W. Freeman, Geraldine Macdonell, et al.. (2005). Efficacy and safety of the coadministration of ezetimibe with fenofibrate in patients with mixed hyperlipidaemia. European Heart Journal. 26(9). 897–905. 128 indexed citations

Farnier, Michel, Mason W. Freeman, & Geraldine Macdonell. (2005). Efficacy and Safety of the Coadministration of Ezetimibe With Fenofibrate in Patients With Mixed Hyperlipidaemia. ACC Current Journal Review. 14(9). 27–27. 7 indexed citations

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.

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