Josef Coresh

5.6k total citations · 2 hit papers
25 papers, 2.5k citations indexed

About

Josef Coresh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology. According to data from OpenAlex, Josef Coresh has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 6 papers in Nephrology. Recurrent topics in Josef Coresh's work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipoproteins and Cardiovascular Health (6 papers) and Chronic Kidney Disease and Diabetes (6 papers). Josef Coresh is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipoproteins and Cardiovascular Health (6 papers) and Chronic Kidney Disease and Diabetes (6 papers). Josef Coresh collaborates with scholars based in United States, United Kingdom and Netherlands. Josef Coresh's co-authors include Elizabeth Selvin, Christina M. Parrinello, David B. Sacks, Frederick L. Brancati, Peter O. Kwiterovich, Camille A. Jones, Geraldine M. McQuillan, Andrew S. Levey, Michael J. Klag and Paul S. Bachorik and has published in prestigious journals such as JAMA, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Josef Coresh

23 papers receiving 2.4k 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.

Trends in Prevalence and Control of Diabetes in the United States, 1988–1994 and 1999–2010

2014 426 citations Elizabeth Selvin, Christina M. Parrinello et al. Annals of Internal Medicine profile →
Age and Association of Kidney Measures With Mortality and End-stage Renal Disease

2012 420 citations Stein Hallan, Kunihiro Matsushita et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Josef Coresh United States	15	1.1k	693	688	488	329	25	2.5k
Rudy Bilous United Kingdom	24	1.9k 1.7×	959 1.4×	1.4k 2.0×	500 1.0×	337 1.0×	51	4.2k
Carlo Giorda Italy	33	1.9k 1.7×	687 1.0×	543 0.8×	606 1.2×	612 1.9×	117	3.1k
Andrea Galassi Italy	16	525 0.5×	456 0.7×	693 1.0×	309 0.6×	324 1.0×	56	2.0k
Gerjan Navis Netherlands	26	586 0.5×	438 0.6×	693 1.0×	303 0.6×	316 1.0×	79	2.5k
Chris Isles United Kingdom	20	1.2k 1.1×	924 1.3×	515 0.7×	878 1.8×	556 1.7×	73	3.2k
Leila R. Zelnick United States	26	838 0.7×	570 0.8×	1.1k 1.5×	422 0.9×	328 1.0×	109	2.9k
Damian Fogarty United Kingdom	31	689 0.6×	429 0.6×	1.2k 1.7×	435 0.9×	277 0.8×	102	3.0k
R. Neil Dalton United Kingdom	29	595 0.5×	512 0.7×	1.0k 1.5×	418 0.9×	268 0.8×	71	2.4k
Koichi Asahi Japan	29	513 0.5×	450 0.6×	987 1.4×	323 0.7×	423 1.3×	138	2.5k
Esther M. Briganti Australia	23	537 0.5×	476 0.7×	1.1k 1.6×	347 0.7×	232 0.7×	38	2.8k

Countries citing papers authored by Josef Coresh

Since Specialization

Citations

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

Fields of papers citing papers by Josef Coresh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josef Coresh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Yunwen, Justin B. Echouffo‐Tcheugui, Josef Coresh, et al.. (2025). Trends in obesity and glucagon‐like peptide‐1 receptor agonist prescriptions in type 1 diabetes in the United States. Diabetes Obesity and Metabolism. 27(6). 2967–2976. 3 indexed citations

Duggan, Michael R., Zhijian Yang, Junhao Wen, et al.. (2024). Proteomic analyses reveal plasma EFEMP1 and CXCL12 as biomarkers and determinants of neurodegeneration. Alzheimer s & Dementia. 20(9). 6486–6505. 5 indexed citations

Ballew, Shoshana H., Yingying Sang, Josef Coresh, et al.. (2024). Incorporation of Cystatin C Testing in Clinical Practice: Real World Experience in Sweden. Kidney International Reports. 9(12). 3596–3599. 1 indexed citations

Kim, Hyunju, Alice H. Lichtenstein, Josef Coresh, Lawrence J. Appel, & Casey M. Rebholz. (2024). Serum protein responses to Dietary Approaches to Stop Hypertension (DASH) and DASH-Sodium trials and associations with blood pressure changes. Journal of Hypertension. 42(10). 1823–1830.

Chen, Teresa K., Aditya Surapaneni, Insa M. Schmidt, et al.. (2024). Proteomics and Incident Kidney Failure in Individuals With CKD: The African American Study of Kidney Disease and Hypertension and the Boston Kidney Biopsy Cohort. Kidney Medicine. 6(12). 100921–100921.

Chen, Jinyu, James Russell Pike, Yifei Lü, et al.. (2024). Association of mid‐life blood pressure status with longitudinal trajectories of blood‐based biomarkers of Alzheimer’s disease neuropathology and neurodegeneration in the Atherosclerosis Risk in Communities (ARIC) Study. Alzheimer s & Dementia. 20(S8). 1 indexed citations

Mok, Yejin, Kunihiro Matsushita, Yingying Sang, et al.. (2016). Association of Kidney Disease Measures with Cause-Specific Mortality: The Korean Heart Study. PLoS ONE. 11(4). e0153429–e0153429. 33 indexed citations

Wei, Gina S., Sean A. Coady, Jared P. Reis, et al.. (2015). Duration and Degree of Weight Gain and Incident Diabetes in Younger Versus Middle-Aged Black and White Adults: ARIC, CARDIA, and the Framingham Heart Study. Diabetes Care. 38(11). 2042–2049. 31 indexed citations

Selvin, Elizabeth, Christina M. Parrinello, David B. Sacks, & Josef Coresh. (2014). Trends in Prevalence and Control of Diabetes in the United States, 1988–1994 and 1999–2010. Annals of Internal Medicine. 160(8). 517–525. 426 indexed citations breakdown →

10.

Hallan, Stein, Kunihiro Matsushita, Yingying Sang, et al.. (2012). Age and Association of Kidney Measures With Mortality and End-stage Renal Disease. JAMA. 308(22). 2349–2349. 420 indexed citations breakdown →

11.

Selvin, Elizabeth, Michael W. Steffes, Edward W. Gregg, Frederick L. Brancati, & Josef Coresh. (2010). Performance of A1C for the Classification and Prediction of Diabetes. Diabetes Care. 34(1). 84–89. 120 indexed citations

12.

Schwartz, Brian, et al.. (2001). Associations of tibia lead, DMSA-chelatable lead, and blood lead with measures of peripheral nervous system function in former organolead manufacturing workers. American Journal of Industrial Medicine. 39(3). 254–261. 4 indexed citations

13.

Coresh, Josef, et al.. (2001). Prevalence of High Blood Pressure and Elevated Serum Creatinine Level in the United States. Archives of Internal Medicine. 161(9). 1207–1207. 459 indexed citations

14.

Krop, Julie, Josef Coresh, Eyal Shahar, et al.. (1999). A Community-Based Study of Explanatory Factors for the Excess Risk for Early Renal Function Decline in Blacks vs Whites With Diabetes. Archives of Internal Medicine. 159(15). 1777–1777. 142 indexed citations

15.

Beaty, Terri H., et al.. (1999). No common major gene for apolipoprotein A-I and HDL3-C levels: Evidence from bivariate segregation analysis. Genetic Epidemiology. 16(1). 54–68. 7 indexed citations

16.

Coresh, Josef, Terri H. Beaty, Valerie L. Prenger, Jiayun Xu, & Peter O. Kwiterovich. (1995). Segregation Analysis of HDL₃-C Levels in Families of Patients Undergoing Coronary Arteriography at an Early Age. Arteriosclerosis Thrombosis and Vascular Biology. 15(9). 1307–1313. 8 indexed citations

17.

Kwiterovich, Peter O., Josef Coresh, & Paul S. Bachorik. (1993). Prevalence of hyperapobetalipoproteinemia and other lipoprotein phenotypes in men (aged ≤50 years) and women (≤60 years) with coronary artery disease. The American Journal of Cardiology. 71(8). 631–639. 82 indexed citations

18.

Coresh, Josef, Terri H. Beaty, & Peter O. Kwiterovich. (1993). Inheritance of plasma apolipoprotein B levels in families of patients undergoing coronary arteriography at an early age. Genetic Epidemiology. 10(3). 159–176. 20 indexed citations

19.

Kwiterovich, Peter O., Josef Coresh, H. H. Smith, et al.. (1992). Comparison of the plasma levels of apolipoproteins B and A-1, and other risk factors in men and women with premature coronary artery disease. The American Journal of Cardiology. 69(12). 1015–1021. 159 indexed citations

20.

Coresh, Josef, Terri H. Beaty, Peter O. Kwiterovich, & Stylianos E. Antonarakis. (1992). Pedigree and sib-pair linkage analysis suggest the apolipoprotein B gene is not the major gene influencing plasma apolipoprotein B levels.. PubMed. 50(5). 1038–45. 29 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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