Joe Coresh

4.5k total citations
21 papers, 1.2k citations indexed

About

Joe Coresh is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Joe Coresh has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Joe Coresh's work include Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Joe Coresh is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Joe Coresh collaborates with scholars based in United States, Canada and Netherlands. Joe Coresh's co-authors include F. Javier Nieto, Brad C. Astor, Edgar R. Miller, Stein Hallan, Edwina Yeung, A. Kottgen, Paul K. Whelton, M J Klag, Hsien‐Hsien Lei and Thomas Perneger and has published in prestigious journals such as Journal of the American College of Cardiology, Circulation Research and American Journal of Epidemiology.

In The Last Decade

Joe Coresh

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Coresh United States 14 462 334 247 160 142 21 1.2k
James P. Lash United States 8 724 1.6× 263 0.8× 158 0.6× 134 0.8× 158 1.1× 12 1.2k
Manish Amin United States 7 711 1.5× 477 1.4× 184 0.7× 256 1.6× 223 1.6× 11 1.3k
Po Huang Chiang Taiwan 6 524 1.1× 194 0.6× 178 0.7× 151 0.9× 120 0.8× 11 1.1k
Anita Lloyd Canada 16 627 1.4× 375 1.1× 138 0.6× 314 2.0× 191 1.3× 37 1.4k
Solfrid Romundstad Norway 15 885 1.9× 539 1.6× 164 0.7× 123 0.8× 208 1.5× 33 1.5k
R. T. Gansevoort Netherlands 16 474 1.0× 309 0.9× 158 0.6× 259 1.6× 130 0.9× 32 1.4k
Minesh Khatri United States 11 464 1.0× 201 0.6× 206 0.8× 164 1.0× 201 1.4× 13 1.1k
Jongha Park South Korea 16 631 1.4× 215 0.6× 105 0.4× 240 1.5× 153 1.1× 36 1.2k
Bixia Gao China 14 281 0.6× 203 0.6× 133 0.5× 141 0.9× 93 0.7× 45 864
Yaerim Kim South Korea 18 348 0.8× 158 0.5× 221 0.9× 167 1.0× 133 0.9× 125 1.1k

Countries citing papers authored by Joe Coresh

Since Specialization
Citations

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

Fields of papers citing papers by Joe Coresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Coresh. 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 Joe Coresh. The network helps show where Joe Coresh may publish in the future.

Co-authorship network of co-authors of Joe Coresh

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Coresh. A scholar is included among the top collaborators of Joe Coresh 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 Joe Coresh. Joe Coresh 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.
2.
Duggal, Priya, Adrienne Tin, Tariq Shafi, et al.. (2024). Association of FMO3 Variants with Blood Pressure in the Atherosclerosis Risk in Communities Study. UNC Libraries. 1 indexed citations
3.
Coresh, Joe, Surendra Kumar Agarwal, Valentı́n Fuster, et al.. (2024). Cardiac Autonomic Dysfunction and Incidence of Atrial Fibrillation: Results From 20 Years Follow-Up. UNC Libraries. 2 indexed citations
4.
5.
Power, Melinda C., Aozhou Wu, Robert I. Reid, et al.. (2019). Association of white matter microstructural integrity with cognition and dementia. Neurobiology of Aging. 83. 63–72. 39 indexed citations
6.
Agarwala, Anandita, Salim S. Virani, David Couper, et al.. (2016). Biomarkers and degree of atherosclerosis are independently associated with incident atherosclerotic cardiovascular disease in a primary prevention cohort: The ARIC study. Atherosclerosis. 253. 156–163. 15 indexed citations
7.
Khalid, Umair, Sameer Ather, Chirag Bavishi, et al.. (2014). Pre-Morbid Body Mass Index and Mortality After Incident Heart Failure. Journal of the American College of Cardiology. 64(25). 2743–2749. 73 indexed citations
8.
Matsushita, Kunihiro, Shoshana H. Ballew, Brad C. Astor, et al.. (2012). Cohort Profile: The Chronic Kidney Disease Prognosis Consortium. International Journal of Epidemiology. 42(6). 1660–1668. 40 indexed citations
9.
Woodward, Mark, Shiou‐Hwa Jee, A. Shankar, et al.. (2012). Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. 307(18). 1941–1951. 3 indexed citations
10.
Nguyen, Khanh‐Dung H., Vasyl Pihur, Santhi K. Ganesh, et al.. (2012). Effects of Rare and Common Blood Pressure Gene Variants on Essential Hypertension. Circulation Research. 112(2). 318–326. 20 indexed citations
11.
Mammen, Andrew L., Katherine Pak, Emma Williams, et al.. (2011). Rarity of anti–3‐hydroxy‐3‐methylglutaryl‐coenzyme A reductase antibodies in statin users, including those with self‐limited musculoskeletal side effects. Arthritis Care & Research. 64(2). 269–272. 157 indexed citations
12.
Estrella, Michelle M., Brad C. Astor, A. Kottgen, et al.. (2010). Prevalence of kidney disease in anaemia differs by GFR-estimating method: The Third National Health and Nutrition Examination Survey (1988-94). Nephrology Dialysis Transplantation. 25(8). 2542–2548. 11 indexed citations
13.
Evans, K., Joe Coresh, Lori D. Bash, et al.. (2010). Race differences in access to health care and disparities in incident chronic kidney disease in the US. Nephrology Dialysis Transplantation. 26(3). 899–908. 64 indexed citations
14.
Selvin, Elizabeth, A. Kottgen, & Joe Coresh. (2009). Kidney function estimated from serum creatinine and cystatin C and peripheral arterial disease in NHANES 1999-2002. European Heart Journal. 30(15). 1918–1925. 35 indexed citations
15.
Bash, Lori D., Joe Coresh, A. Kottgen, et al.. (2009). Defining Incident Chronic Kidney Disease in the Research Setting: The ARIC Study. American Journal of Epidemiology. 170(4). 414–424. 98 indexed citations
16.
Astor, Brad C., Stein Hallan, Edgar R. Miller, Edwina Yeung, & Joe Coresh. (2008). Glomerular Filtration Rate, Albuminuria, and Risk of Cardiovascular and All-Cause Mortality in the US Population. American Journal of Epidemiology. 167(10). 1226–1234. 244 indexed citations
17.
Knowler, W C, Joe Coresh, B. I. Freedman, et al.. (2005). The Family Investigation of Nephropathy and Diabetes (FIND)Design and methods. Journal of Diabetes and its Complications. 19(1). 1–9. 2 indexed citations
18.
Barditch‐Crovo, Patricia, Carol Braun Trapnell, Ene Ette, et al.. (1999). The effects of rifampin and rifabutin on the pharmacokinetics and pharmacodynamics of a combination oral contraceptive. Clinical Pharmacology & Therapeutics. 65(4). 428–438. 87 indexed citations
19.
Toto, Robert D., K A Kirk, Joe Coresh, et al.. (1997). Evaluation of serum creatinine for estimating glomerular filtration rate in African Americans with hypertensive nephrosclerosis. Journal of the American Society of Nephrology. 8(2). 279–287. 61 indexed citations
20.
Nieto, F. Javier & Joe Coresh. (1996). Adjusting Survival Curves for Confounders: A Review and a New Method. American Journal of Epidemiology. 143(10). 1059–1068. 169 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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