John H. Contois

4.9k total citations · 2 hit papers
49 papers, 3.5k citations indexed

About

John H. Contois is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, John H. Contois has authored 49 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 23 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Physiology. Recurrent topics in John H. Contois's work include Lipoproteins and Cardiovascular Health (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers) and Cancer, Lipids, and Metabolism (11 papers). John H. Contois is often cited by papers focused on Lipoproteins and Cardiovascular Health (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers) and Cancer, Lipids, and Metabolism (11 papers). John H. Contois collaborates with scholars based in United States, Netherlands and Canada. John H. Contois's co-authors include Judith McNamara, Ernst J. Schaefer, Allan D. Sniderman, Curt D. Furberg, Ken Williams, Jacqueline de Graaf, G. Russell Warnick, Peter W.F. Wilson, Carol J. Lammi‐Keefe and Matthew McQueen and has published in prestigious journals such as JAMA, Journal of Nutrition and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

John H. Contois

49 papers receiving 3.3k 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 Meta-Analysis of Low-Density Lipoprotein Cholesterol, Non-High-Density Lipoprotein Cholesterol, and Apolipoprotein B as Markers of Cardiovascular Risk

2011 437 citations Allan D. Sniderman, Ken Williams et al. profile →
A blood-based diagnostic test incorporating plasma Aβ42/40 ratio, ApoE proteotype, and age accurately identifies brain amyloid status: findings from a multi cohort validity analysis

2021 136 citations Tim West, Kristopher M. Kirmess et al. Molecular Neurodegeneration profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John H. Contois United States	28	1.6k	1.6k	686	535	520	49	3.5k
Rafael Carmena Spain	32	2.1k 1.3×	2.1k 1.3×	911 1.3×	550 1.0×	489 0.9×	154	4.6k
Jean Bergeron Canada	29	989 0.6×	1.3k 0.8×	620 0.9×	479 0.9×	382 0.7×	80	2.9k
Dilys J. Freeman United Kingdom	33	1.8k 1.1×	1.5k 0.9×	820 1.2×	586 1.1×	408 0.8×	74	5.1k
P. Barton Duell United States	33	1.0k 0.6×	2.6k 1.6×	745 1.1×	465 0.9×	505 1.0×	114	4.7k
J. D. Knoke United States	11	1.7k 1.1×	1.6k 1.0×	695 1.0×	304 0.6×	459 0.9×	22	3.2k
Krishnaji Kulkarni United States	24	1.4k 0.9×	1.3k 0.8×	733 1.1×	730 1.4×	382 0.7×	57	3.0k
Sarah Parish United Kingdom	33	959 0.6×	1.4k 0.9×	1.2k 1.7×	434 0.8×	358 0.7×	84	3.9k
Hanna Mäenpää Finland	22	1.7k 1.1×	2.0k 1.3×	746 1.1×	246 0.5×	825 1.6×	54	4.8k
Kjetil Retterstøl Norway	33	946 0.6×	1.6k 1.0×	593 0.9×	742 1.4×	540 1.0×	189	3.7k
Giacomo Ruotolo United States	36	2.1k 1.3×	1.4k 0.9×	1.1k 1.6×	894 1.7×	448 0.9×	90	4.3k

Countries citing papers authored by John H. Contois

Since Specialization

Citations

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

Fields of papers citing papers by John H. Contois

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Contois. 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 John H. Contois. The network helps show where John H. Contois may publish in the future.

Co-authorship network of co-authors of John H. Contois

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Contois. A scholar is included among the top collaborators of John H. Contois 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 John H. Contois. John H. Contois 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

Kirmess, Kristopher M., Mary S. Holubasch, Philip B. Verghese, et al.. (2024). PrecivityAD2™ Blood Test: Analytical Validation of an LC-MS/MS Assay for Quantifying Plasma Phospho-tau217 and Non-Phospho-tau217 Peptide Concentrations That Are Used with Plasma Amyloid-β42/40 in a Multianalyte Assay with Algorithmic Analysis for Detecting Brain Amyloid Pathology. Diagnostics. 14(16). 1739–1739. 4 indexed citations

Fogelman, I., Tim West, Joel B. Braunstein, et al.. (2023). Independent study demonstrates amyloid probability score accurately indicates amyloid pathology. Annals of Clinical and Translational Neurology. 10(5). 765–778. 13 indexed citations

Contois, John H., Michel R. Langlois, Christa M. Cobbaert, & Allan D. Sniderman. (2023). Standardization of Apolipoprotein B, LDL‐Cholesterol, and Non‐HDL‐Cholesterol. Journal of the American Heart Association. 12(15). e030405–e030405. 30 indexed citations

Kirmess, Kristopher M., Matthew R. Meyer, Mary S. Holubasch, et al.. (2021). The PrecivityAD™ test: Accurate and reliable LC-MS/MS assays for quantifying plasma amyloid beta 40 and 42 and apolipoprotein E proteotype for the assessment of brain amyloidosis. Clinica Chimica Acta. 519. 267–275. 73 indexed citations

West, Tim, Kristopher M. Kirmess, Matthew R. Meyer, et al.. (2021). A blood-based diagnostic test incorporating plasma Aβ42/40 ratio, ApoE proteotype, and age accurately identifies brain amyloid status: findings from a multi cohort validity analysis. Molecular Neurodegeneration. 16(1). 30–30. 136 indexed citations breakdown →

Sniderman, Allan D., et al.. (2010). Why is non−high-density lipoprotein cholesterol a better marker of the risk of vascular disease than low-density lipoprotein cholesterol?. Journal of clinical lipidology. 4(3). 152–155. 71 indexed citations

Torres‐Gonzalez, Moises, Jose O Leite, Jeff S. Volek, John H. Contois, & María Luz Fernández. (2008). Carbohydrate restriction and dietary cholesterol distinctly affect plasma lipids and lipoprotein subfractions in adult guinea pigs. The Journal of Nutritional Biochemistry. 19(12). 856–863. 8 indexed citations

Waters, David D., Richard M. Clark, Christine Greene, John H. Contois, & María Luz Fernández. (2007). Change in Plasma Lutein after Egg Consumption Is Positively Associated with Plasma Cholesterol and Lipoprotein Size but Negatively Correlated with Body Size in Postmenopausal Women. Journal of Nutrition. 137(4). 959–963. 21 indexed citations

Contois, John H., Celia Hartigan, Lokinendi V. Rao, L. Michael Snyder, & Michael Thompson. (2006). Analytical validation of an HPLC assay for urinary albumin. Clinica Chimica Acta. 367(1-2). 150–155. 34 indexed citations

10.

Greene, Christine, David D. Waters, Richard M. Clark, John H. Contois, & María Luz Fernández. (2006). Plasma LDL and HDL characteristics and carotenoid content are positively influenced by egg consumption in an elderly population1. Nutrition & Metabolism. 3(1). 6–6. 67 indexed citations

11.

Chang, Shine, John W. Erdman, Steven K. Clinton, et al.. (2005). Relationship Between Plasma Carotenoids and Prostate Cancer. Nutrition and Cancer. 53(2). 127–134. 25 indexed citations

12.

Chang, Shine, Stephen D. Hursting, John H. Contois, et al.. (2001). Leptin and prostate cancer. The Prostate. 46(1). 62–67. 126 indexed citations

13.

Chang, Shine, Stephen D. Hursting, John H. Contois, et al.. (2001). Leptin and prostate cancer. The Prostate. 46(1). 62–67. 11 indexed citations

14.

Klein, Russell D., Qingyi Wei, Yongli Guan, et al.. (2000). Low-dose genistein induces cyclin-dependent kinase inhibitors and G1 cell-cycle arrest in human prostate cancer cells. Molecular Carcinogenesis. 29(2). 92–102. 97 indexed citations

15.

Contois, John H., Alan H.B. Wu, Zemin Li, et al.. (2000). Distribution of serum apolipoproteins A-I and B and lipoprotein(a) in European elderly. Clinica Chimica Acta. 295(1-2). 1–12. 7 indexed citations

16.

Pillow, Patricia C., Cherie M. Duphorne, Shine Chang, et al.. (1999). Development of a database for assessing dietary phytoestrogen intake. Nutrition and Cancer. 33(1). 3–19. 115 indexed citations

17.

Giri, Satyendra, Paul D. Thompson, John H. Contois, et al.. (1998). Oral estrogen improves serum lipids, homocysteine and fibrinolysis in elderly men. Atherosclerosis. 137(2). 359–366. 81 indexed citations

18.

Pervaiz, Shazib, et al.. (1997). Comparative analysis of cardiac troponin i and creatine kinase‐MB as markers of acute myocardial infarction. Clinical Cardiology. 20(3). 269–271. 33 indexed citations

19.

Contois, John H., Carol J. Lammi‐Keefe, Silke Vogel, et al.. (1996). Plasma lipoprotein(a) distribution in the Framingham Offspring Study as determined with a commercially available immunoturbidimetric assay. Clinica Chimica Acta. 253(1-2). 21–35. 24 indexed citations

20.

Contois, John H., et al.. (1996). Reference intervals for plasma apolipoprotein B determined with a standardized commercial immunoturbidimetric assay: results from the Framingham Offspring Study. Clinical Chemistry. 42(4). 515–523. 131 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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