Philip W. Connelly

18.0k total citations · 1 hit paper
289 papers, 13.7k citations indexed

About

Philip W. Connelly is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology. According to data from OpenAlex, Philip W. Connelly has authored 289 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Surgery, 89 papers in Endocrinology, Diabetes and Metabolism and 61 papers in Obstetrics and Gynecology. Recurrent topics in Philip W. Connelly's work include Gestational Diabetes Research and Management (60 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (58 papers) and Lipoproteins and Cardiovascular Health (43 papers). Philip W. Connelly is often cited by papers focused on Gestational Diabetes Research and Management (60 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (58 papers) and Lipoproteins and Cardiovascular Health (43 papers). Philip W. Connelly collaborates with scholars based in Canada, United States and United Kingdom. Philip W. Connelly's co-authors include Bernard Zinman, Robert A. Hegele, Anthony J. Hanley, Ravi Retnakaran, Mathew Sermer, Graham F. Maguire, David J.A. Jenkins, Stewart B. Harris, Jason Brunt and Cyril W.C. Kendall and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Philip W. Connelly

287 papers receiving 13.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A major role for VCAM-1, but not ICAM-1, in early atherosclerosis

2001 957 citations Philip W. Connelly et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip W. Connelly Canada	64	3.5k	3.3k	2.3k	2.0k	2.0k	289	13.7k
Anthony J. Hanley Canada	71	2.7k 0.8×	4.9k 1.5×	2.8k 1.2×	2.6k 1.3×	3.1k 1.6×	334	15.5k
Robert H. Knopp United States	68	6.1k 1.7×	6.2k 1.9×	4.0k 1.7×	1.7k 0.8×	2.8k 1.4×	229	18.1k
John H. Eckfeldt United States	55	2.5k 0.7×	2.2k 0.7×	397 0.2×	1.7k 0.8×	1.7k 0.8×	194	14.9k
Kristina M. Utzschneider United States	42	2.4k 0.7×	4.0k 1.2×	653 0.3×	2.8k 1.4×	4.1k 2.0×	103	12.0k
Allan Vaag Denmark	73	3.9k 1.1×	6.5k 2.0×	2.5k 1.1×	7.7k 3.8×	6.3k 3.2×	419	20.7k
Émile Lévy Canada	61	2.8k 0.8×	2.0k 0.6×	383 0.2×	4.1k 2.0×	2.6k 1.3×	357	13.1k
Sylvia H. Ley United States	35	955 0.3×	2.4k 0.7×	808 0.4×	1.6k 0.8×	1.8k 0.9×	78	8.0k
José C. Florez United States	58	2.9k 0.8×	4.1k 1.3×	571 0.3×	6.1k 3.0×	3.4k 1.7×	223	14.5k
Lee‐Ming Chuang Taiwan	55	2.5k 0.7×	3.7k 1.1×	423 0.2×	3.2k 1.6×	2.9k 1.5×	335	11.9k
Jing Ma United States	64	2.1k 0.6×	3.5k 1.1×	292 0.1×	4.3k 2.1×	2.2k 1.1×	279	15.5k

Countries citing papers authored by Philip W. Connelly

Since Specialization

Citations

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

Fields of papers citing papers by Philip W. Connelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip W. Connelly. 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 Philip W. Connelly. The network helps show where Philip W. Connelly may publish in the future.

Co-authorship network of co-authors of Philip W. Connelly

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

All Works

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20 of 20 papers shown

Retnakaran, Ravi, Dawei Bu, Philip W. Connelly, et al.. (2025). Serum endotrophin relates to blood pressure in young South Asian women but not White women: evidence of ethnic variation in its early vascular implications. BMC Cardiovascular Disorders. 25(1). 689–689.

Kramer, Caroline K., Chang Ye, Anthony J. Hanley, et al.. (2024). Postpartum weight retention and the early evolution of cardiovascular risk over the first 5 years after pregnancy. Cardiovascular Diabetology. 23(1). 101–101. 10 indexed citations

Retnakaran, Ravi, Chang Ye, Anthony J. Hanley, et al.. (2023). Treatment of Gestational Diabetes Mellitus and Maternal Risk of Diabetes After Pregnancy. Diabetes Care. 46(3). 587–592. 9 indexed citations

Ye, Chang, Anthony J. Hanley, Philip W. Connelly, et al.. (2023). Impact of the diagnosis of gestational diabetes on maternal physical activity after pregnancy. Diabetes Obesity and Metabolism. 26(4). 1207–1215. 1 indexed citations

Retnakaran, Ravi, Chang Ye, Caroline K. Kramer, et al.. (2023). Deteriorating beta cell function is the dominant determinant of progression from normal glucose tolerance to prediabetes/diabetes in young women following pregnancy. Diabetologia. 66(11). 2154–2163. 10 indexed citations

Retnakaran, Ravi, et al.. (2023). Future cardiometabolic implications of insulin hypersecretion in response to oral glucose: a prospective cohort study. EClinicalMedicine. 67. 102363–102363. 4 indexed citations

Retnakaran, Ravi, Chang Ye, Anthony J. Hanley, et al.. (2022). Treating Gestational Diabetes Reduces Birth Weight but Does Not Affect Infant Adiposity Across the 1st Year of Life. Diabetes Care. 45(5). 1230–1238. 6 indexed citations

Retnakaran, Ravi, Ye Rim Chang, Anthony J. Hanley, et al.. (2021). Subtypes of gestational diabetes and future risk of pre-diabetes or diabetes. EClinicalMedicine. 40. 101087–101087. 25 indexed citations

Volpe, Alessandro, Ye Rim Chang, Anthony J. Hanley, et al.. (2019). Changes Over Time in Uric Acid in Relation to Changes in Insulin Sensitivity, Beta-Cell Function, and Glycemia. The Journal of Clinical Endocrinology & Metabolism. 105(3). e651–e659. 15 indexed citations

10.

Semnani‐Azad, Zhila, Christine Lee, Ravi Retnakaran, et al.. (2019). Determinants of longitudinal change in insulin clearance: the Prospective Metabolism and Islet Cell Evaluation cohort. BMJ Open Diabetes Research & Care. 7(1). e000825–e000825. 16 indexed citations

11.

Hammad, Shatha, Peter Eck, Xiang Chen, et al.. (2019). Common Variants in Lipid Metabolism–Related Genes Associate with Fat Mass Changes in Response to Dietary Monounsaturated Fatty Acids in Adults with Abdominal Obesity. Journal of Nutrition. 149(10). 1749–1756. 9 indexed citations

12.

Kramer, Caroline K., Bernard Zinman, Haysook Choi, Philip W. Connelly, & Ravi Retnakaran. (2017). Chronic liraglutide therapy induces an enhanced endogenous glucagon‐like peptide‐1 secretory response in early type 2 diabetes. Diabetes Obesity and Metabolism. 19(5). 744–748. 15 indexed citations

13.

Souza, Leanne R. De, Chang Ye, Anthony J. Hanley, et al.. (2017). Circulating B‐type natriuretic peptide in women with and without recent gestational diabetes: The impact of current glucose intolerance. Clinical Endocrinology. 88(2). 227–233. 3 indexed citations

14.

Maple‐Brown, Louise, et al.. (2012). Maternal Pregravid Weight Is the Primary Determinant of Serum Leptin and Its Metabolic Associations in Pregnancy, Irrespective of Gestational Glucose Tolerance Status. The Journal of Clinical Endocrinology & Metabolism. 97(11). 4148–4155. 34 indexed citations

15.

Wolever, Thomas M.S., Alison L. Gibbs, J.‐L. Chiasson, et al.. (2012). Altering source or amount of dietary carbohydrate has acute and chronic effects on postprandial glucose and triglycerides in type 2 diabetes: Canadian trial of Carbohydrates in Diabetes (CCD). Nutrition Metabolism and Cardiovascular Diseases. 23(3). 227–234. 21 indexed citations

16.

Molloy, Catherine B., Raj Sengupta, Philip W. Connelly, et al.. (2007). Lipid bioprofiles and correlation with disease activity measures in the' spondyloarthropathies. Annals of the Rheumatic Diseases. 66. 405–405. 5 indexed citations

17.

Connelly, Philip W., et al.. (2007). Development of an immunoblot assay with infrared fluorescence to quantify paraoxonase 1 in serum and plasma. Journal of Lipid Research. 49(1). 245–250. 30 indexed citations

18.

Connelly, Philip W.. (1999). The role of hepatic lipase in lipoprotein metabolism. Clinica Chimica Acta. 286(1-2). 243–255. 89 indexed citations

19.

Connelly, Philip W., Camilla Vézina, & Graham F. Maguire. (1996). [11] Quantification of apolipoprotein C-II by immunochemical and chromatographic methods. Methods in enzymology on CD-ROM/Methods in enzymology. 263. 188–208. 2 indexed citations

20.

Jenkins, David J.A., Robert A. Hegele, Alexandra L. Jenkins, et al.. (1993). The apolipoprotein E gene and the serum low-density lipoprotein cholesterol response to dietary fiber. Metabolism. 42(5). 585–593. 32 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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