Joshua W. Knowles

26.6k total citations · 5 hit papers
153 papers, 6.6k citations indexed

About

Joshua W. Knowles is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Joshua W. Knowles has authored 153 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Surgery, 48 papers in Cardiology and Cardiovascular Medicine and 35 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Joshua W. Knowles's work include Lipoproteins and Cardiovascular Health (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Genetic Associations and Epidemiology (22 papers). Joshua W. Knowles is often cited by papers focused on Lipoproteins and Cardiovascular Health (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Genetic Associations and Epidemiology (22 papers). Joshua W. Knowles collaborates with scholars based in United States, Australia and United Kingdom. Joshua W. Knowles's co-authors include Euan A. Ashley, Nobuyo Maeda, Sigurd P. Ramfjord, Frederick G. Burgett, Robert R. Nissle, Daniel J. Rader, Oliver Smithies, Edith C. Morrison, Fátima Rodríguez and Richard A. Shick and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Investigation.

In The Last Decade

Joshua W. Knowles

138 papers receiving 6.4k citations

Hit Papers

5 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.

Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity

2016 533 citations Paul W. Burridge, Yong Fuga Li et al. Nature Medicine profile →
The Agenda for Familial Hypercholesterolemia

2015 450 citations Joshua W. Knowles, Frederick J. Raal et al. profile →
Results of Periodontal Treatment Related to Pocket Depth and Attachment Level. Eight Years

1979 336 citations Joshua W. Knowles et al. profile →
Association of Statin Adherence With Mortality in Patients With Atherosclerotic Cardiovascular Disease

2019 228 citations Fátima Rodríguez, David J. Maron et al. profile →
A guide for the diagnosis of rare and undiagnosed disease: beyond the exome

2022 177 citations Joshua W. Knowles, Euan A. Ashley et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua W. Knowles United States	42	1.9k	1.9k	1.7k	936	915	153	6.6k
Tanja Zeller Germany	48	4.0k 2.1×	1.4k 0.8×	2.7k 1.6×	707 0.8×	585 0.6×	351	9.8k
Zoltán Szekanecz Hungary	63	911 0.5×	928 0.5×	2.3k 1.3×	535 0.6×	581 0.6×	326	12.1k
Gonzalo Hernández Spain	39	678 0.4×	1.9k 1.0×	1.2k 0.7×	461 0.5×	153 0.2×	186	6.2k
Koji Yonemoto Japan	41	999 0.5×	1.0k 0.5×	629 0.4×	876 0.9×	222 0.2×	110	5.1k
Tomio Arai Japan	48	2.8k 1.5×	2.2k 1.2×	2.1k 1.2×	593 0.6×	549 0.6×	397	10.7k
Akira Hata Japan	41	1.8k 1.0×	908 0.5×	1.5k 0.9×	1.5k 1.6×	1.5k 1.7×	164	6.6k
Pierre Gourdy France	45	595 0.3×	986 0.5×	1.9k 1.1×	1.9k 2.1×	1.9k 2.1×	190	8.1k
Karim Raza United Kingdom	49	336 0.2×	527 0.3×	1.8k 1.0×	572 0.6×	473 0.5×	249	9.3k
Donald W. Bowden United States	59	2.0k 1.1×	2.0k 1.0×	4.1k 2.4×	2.7k 2.9×	3.7k 4.0×	359	14.7k
David H. Neustadt United States	15	935 0.5×	1.4k 0.7×	1.9k 1.1×	253 0.3×	445 0.5×	35	17.5k

Countries citing papers authored by Joshua W. Knowles

Since Specialization

Citations

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

Fields of papers citing papers by Joshua W. Knowles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua W. Knowles

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua W. Knowles. A scholar is included among the top collaborators of Joshua W. Knowles 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 Joshua W. Knowles. Joshua W. Knowles 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

MacDougall, Diane, Anne Tybjærg-Hansen, Joshua W. Knowles, et al.. (2025). Lipoprotein(a) and recurrent atherosclerotic cardiovascular events: the US Family Heart Database. European Heart Journal. 46(44). 4762–4775. 8 indexed citations

Tang, W.H. Wilson, Quan M. Bui, Allison L. Cirino, et al.. (2025). Cardiologists' Perceptions of Cardiogenetic Testing and Management. JACC Advances. 4(8). 101910–101910. 1 indexed citations

Raal, Frederick J., Daniel Gaudet, David Sullivan, et al.. (2025). Zodasiran (ARO-ANG3), an investigational RNAi therapeutic, demonstrates profound and durable reductions in LDL-cholesterol, apolipoprotein B, and ANGPTL3 in patients with HoFH; gateway final results. Atherosclerosis. 407. 120374–120374. 1 indexed citations

Moncal, Kazim K., Laeya A. Najmi, Rakhi Gupta, et al.. (2025). Label‐Free Detection of Lipid Accumulation in Cells Using Magnetic Levitation. Advanced Biology. 9(7). e2200142–e2200142.

Knowles, Joshua W., et al.. (2024). Retrospective review of surgeon administered transversus abdominis plane blocks at emergency caesarean. Australian and New Zealand Journal of Obstetrics and Gynaecology. 65(1). 135–139. 1 indexed citations

Xu, Lingyun, et al.. (2024). Generation of two familial hypercholesterolemia patient-specific induced pluripotent stem cell lines harboring heterozygous mutations in the LDLR gene. Stem Cell Research. 78. 103463–103463. 1 indexed citations

Nagy, Nadine, Gernot Kaber, Darko Stefanovski, et al.. (2024). Hymecromone Promotes Longevity and Insulin Sensitivity in Mice. Cells. 13(20). 1727–1727.

Zhao, Lei, Fahim Abbasi, Mohsen Fathzadeh, et al.. (2024). Chemerin in Participants with or without Insulin Resistance and Diabetes. Biomedicines. 12(4). 924–924. 5 indexed citations

Manhas, Amit, et al.. (2022). Generation of two iPSC lines from hypertrophic cardiomyopathy patients carrying MYBPC3 and PRKAG2 variants. Stem Cell Research. 61. 102774–102774. 7 indexed citations

10.

Balliu, Brunilda, Ivan Carcamo‐Orive, Michael J. Gloudemans, et al.. (2021). An integrated approach to identify environmental modulators of genetic risk factors for complex traits. The American Journal of Human Genetics. 108(10). 1866–1879. 16 indexed citations

11.

Rodríguez, Fátima, et al.. (2021). Health disparities in cardiometabolic risk among Black and Hispanic youth in the United States. SHILAP Revista de lepidopterología. 6. 100175–100175. 23 indexed citations

12.

Carcamo‐Orive, Ivan, Marc Henrion, Kuixi Zhu, et al.. (2020). Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness. PLoS Computational Biology. 16(12). e1008491–e1008491. 10 indexed citations

13.

Clarke, Shoa L., Gerald M. Reaven, David Léonard, et al.. (2020). Cardiorespiratory Fitness, Body Mass Index, and Markers of Insulin Resistance in Apparently Healthy Women and Men. The American Journal of Medicine. 133(7). 825–830.e2. 15 indexed citations

14.

Banda, Juan M., Ashish Sarraju, Fahim Abbasi, et al.. (2019). Finding missed cases of familial hypercholesterolemia in health systems using machine learning. npj Digital Medicine. 2(1). 23–23. 77 indexed citations

15.

Kim, Donghee, Andrew A. Li, George Cholankeril, et al.. (2019). Trends in overall, cardiovascular and cancer-related mortality among individuals with diabetes reported on death certificates in the United States between 2007 and 2017. Diabetologia. 62(7). 1185–1194. 17 indexed citations

16.

Kim, Donghee, George Cholankeril, Sun H. Kim, et al.. (2019). Increasing Mortality Among Patients With Diabetes and Chronic Liver Disease From 2007 to 2017. Clinical Gastroenterology and Hepatology. 18(4). 992–994. 9 indexed citations

17.

Rao, Abhiram, Daniel Lindholm, Manuel A. Rivas, et al.. (2018). Large-Scale Phenome-Wide Association Study of PCSK9 Variants Demonstrates Protection Against Ischemic Stroke. Circulation Genomic and Precision Medicine. 11(7). e002162–e002162. 45 indexed citations

18.

Burridge, Paul W., Yong Fuga Li, Elena Matsa, et al.. (2016). Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity. Nature Medicine. 22(5). 547–556. 533 indexed citations breakdown →

19.

Finocchiaro, Gherardo, François Haddad, Aleksandra Pavlović, et al.. (2014). Latent Obstruction and Left Atrial Size Are Predictors of Clinical Deterioration Leading to Septal Reduction in Hypertrophic Cardiomyopathy. Journal of Cardiac Failure. 20(4). 236–243. 14 indexed citations

20.

Finocchiaro, Gherardo, François Haddad, Aleksandra Pavlović, et al.. (2014). How does morphology impact on diastolic function in hypertrophic cardiomyopathy? A single centre experience. BMJ Open. 4(6). e004814–e004814. 15 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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