Adam D. McIntyre

3.0k total citations
63 papers, 1.6k citations indexed

About

Adam D. McIntyre is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Adam D. McIntyre has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 26 papers in Molecular Biology and 23 papers in Surgery. Recurrent topics in Adam D. McIntyre's work include Lipid metabolism and disorders (26 papers), Lipoproteins and Cardiovascular Health (16 papers) and Cancer, Lipids, and Metabolism (12 papers). Adam D. McIntyre is often cited by papers focused on Lipid metabolism and disorders (26 papers), Lipoproteins and Cardiovascular Health (16 papers) and Cancer, Lipids, and Metabolism (12 papers). Adam D. McIntyre collaborates with scholars based in Canada, United States and United Kingdom. Adam D. McIntyre's co-authors include Robert A. Hegele, Jian Wang, Henian Cao, John F. Robinson, Jacqueline S. Dron, Matthew R. Ban, Michael A. Iacocca, Murray W. Huff, John P. Kane and Mary J. Malloy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Adam D. McIntyre

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam D. McIntyre Canada 22 745 678 493 416 367 63 1.6k
Jutta Palmen United Kingdom 21 321 0.4× 327 0.5× 330 0.7× 464 1.1× 389 1.1× 40 1.3k
P Lohse Germany 27 450 0.6× 176 0.3× 295 0.6× 586 1.4× 253 0.7× 57 1.4k
Nihan Kavaslar Canada 9 405 0.5× 441 0.7× 193 0.4× 896 2.2× 967 2.6× 10 1.9k
Deborah Applebaum‐Bowden United States 22 612 0.8× 374 0.6× 1.2k 2.4× 299 0.7× 378 1.0× 36 2.0k
Mitsutoshi Oguri Japan 21 204 0.3× 310 0.5× 166 0.3× 436 1.0× 269 0.7× 93 1.2k
Charlotta Roos Sweden 3 272 0.4× 184 0.3× 280 0.6× 250 0.6× 462 1.3× 4 976
Sabrina Prudente Italy 24 393 0.5× 194 0.3× 430 0.9× 825 2.0× 349 1.0× 69 1.8k
Peiran Yang China 21 594 0.8× 273 0.4× 171 0.3× 382 0.9× 67 0.2× 61 1.7k
Elisabeth Widén Finland 22 625 0.8× 240 0.4× 740 1.5× 922 2.2× 543 1.5× 29 2.5k
Karen O. Badellino United States 18 340 0.5× 278 0.4× 347 0.7× 145 0.3× 58 0.2× 22 969

Countries citing papers authored by Adam D. McIntyre

Since Specialization
Citations

This map shows the geographic impact of Adam D. McIntyre'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 Adam D. McIntyre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam D. McIntyre more than expected).

Fields of papers citing papers by Adam D. McIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam D. McIntyre. 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 Adam D. McIntyre. The network helps show where Adam D. McIntyre may publish in the future.

Co-authorship network of co-authors of Adam D. McIntyre

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

All Works

20 of 20 papers shown
1.
Alexander, Veronica J., Marcello Arca, Jean Bergeron, et al.. (2025). Prevalence, baseline characteristics, and reclassification of indeterminate genetic results in patients eligible for the Balance trial with olezarsen. Journal of clinical lipidology. 19(3). e72–e72. 1 indexed citations
2.
Wang, Jian, et al.. (2025). Lipoprotein Lipase: Structure, Function, and Genetic Variation. Genes. 16(1). 55–55. 4 indexed citations
3.
Wang, Jian, et al.. (2024). Comparison of Patients With Familial Chylomicronemia Syndrome and Multifactorial Chylomicronemia Syndrome. The Journal of Clinical Endocrinology & Metabolism. 110(4). 1158–1165. 14 indexed citations
4.
Wang, Jian, et al.. (2024). Phenotype in Individuals with Heterozygous Rare Variants in LIPC Encoding Hepatic Lipase. International Journal of Molecular Sciences. 25(21). 11445–11445. 1 indexed citations
5.
Kennedy, Brooke A., et al.. (2024). Carotid intima-medial thickness in patients with severe hypertriglyceridemia. SHILAP Revista de lepidopterología. 56. 7–11.
6.
7.
Wang, Jian, et al.. (2022). The longitudinal triglyceride phenotype in heterozygotes with LPL pathogenic variants. Journal of clinical lipidology. 17(1). 87–93. 20 indexed citations
8.
Lazarte, Julieta, Jacqueline S. Dron, Adam D. McIntyre, et al.. (2021). Evaluating Polygenic Risk Scores in “Lone” Atrial Fibrillation. CJC Open. 3(6). 751–757. 4 indexed citations
9.
Dron, Jacqueline S., Allison A. Dilliott, Adam D. McIntyre, et al.. (2020). Ancestry-specific profiles of genetic determinants of severe hypertriglyceridemia. Journal of clinical lipidology. 15(1). 88–96. 10 indexed citations
10.
Dron, Jacqueline S., Jian Wang, Adam D. McIntyre, Henian Cao, & Robert A. Hegele. (2020). The polygenic nature of mild-to-moderate hypertriglyceridemia. Journal of clinical lipidology. 14(1). 28–34.e2. 32 indexed citations
11.
Berberich, Amanda J., Jian Wang, Henian Cao, et al.. (2020). Simplifying Detection of Copy-Number Variations in Maturity-Onset Diabetes of the Young. Canadian Journal of Diabetes. 45(1). 71–77. 4 indexed citations
12.
McIntyre, Adam D., et al.. (2019). Severe Combined Dyslipidemia With a Complex Genetic Basis. Journal of Investigative Medicine High Impact Case Reports. 7. 2736342202–2736342202. 9 indexed citations
13.
McIntyre, Adam D., et al.. (2018). Complex genetic architecture in severe hypobetalipoproteinemia. Lipids in Health and Disease. 17(1). 48–48. 12 indexed citations
14.
Iacocca, Michael A., Jian Wang, Jacqueline S. Dron, et al.. (2017). Use of next-generation sequencing to detect LDLR gene copy number variation in familial hypercholesterolemia. Journal of Lipid Research. 58(11). 2202–2209. 60 indexed citations
15.
Brahm, Amanda J., Grace Wang, Jian Wang, et al.. (2016). Genetic Confirmation Rate in Clinically Suspected Maturity-Onset Diabetes of the Young. Canadian Journal of Diabetes. 40(6). 555–560. 14 indexed citations
16.
Hegele, Robert A., Matthew R. Ban, Henian Cao, et al.. (2015). Targeted next-generation sequencing in monogenic dyslipidemias. Current Opinion in Lipidology. 26(2). 103–113. 79 indexed citations
17.
Rajko‐Nenow, Paulina, Sinéad Keaveney, John Flannery, Adam D. McIntyre, & William Doré. (2013). Norovirus genotypes implicated in two oyster-related illness outbreaks in Ireland. Epidemiology and Infection. 142(10). 2096–2104. 16 indexed citations
18.
Basel‐Vanagaite, Lina, Noam Zevit, Liang Guo, et al.. (2012). Transient Infantile Hypertriglyceridemia, Fatty Liver, and Hepatic Fibrosis Caused by Mutated GPD1, Encoding Glycerol-3-Phosphate Dehydrogenase 1. The American Journal of Human Genetics. 90(1). 49–60. 73 indexed citations
19.
Tho, Lye Mun, Adam D. McIntyre, A H McLean Ross, et al.. (2005). Acute Supraclavicular Skin Toxicity in Patients Undergoing Radiotherapy for Breast Cancer: An Evaluation of the ‘T’-Grip Method of Patient Positioning. Clinical Oncology. 18(2). 133–138. 1 indexed citations
20.
Caygill, C P J, et al.. (1998). The UK National Barrett's Oesophagus Registry: a study between two centres.. PubMed. 7(2). 161–4. 8 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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