Brad C. Astor

448 total papers · 56.2k total citations
297 papers, 28.8k citations indexed

About

Brad C. Astor is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brad C. Astor has authored 297 papers receiving a total of 28.8k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Nephrology, 72 papers in Cardiology and Cardiovascular Medicine and 69 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brad C. Astor's work include Dialysis and Renal Disease Management (83 papers), Chronic Kidney Disease and Diabetes (76 papers) and Renal Transplantation Outcomes and Treatments (51 papers). Brad C. Astor is often cited by papers focused on Dialysis and Renal Disease Management (83 papers), Chronic Kidney Disease and Diabetes (76 papers) and Renal Transplantation Outcomes and Treatments (51 papers). Brad C. Astor collaborates with scholars based in United States, Canada and Netherlands. Brad C. Astor's co-authors include Josef Coresh, Andrew S. Levey, Kunihiro Matsushita, Ron T. Gansevoort, Paul E. de Jong, Mark Woodward, Marije van der Velde, Tom Greene, Garabed Eknoyan and M. El-Nahas and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Brad C. Astor

287 papers receiving 28.0k citations

Hit Papers

Association of estimated ... 2002 2026 2010 2018 2010 2002 2010 2014 2020 500 1000 1.5k 2.0k 2.5k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis
    2010 2.9k citations Kunihiro Matsushita, Marije van der Velde et al. The Lancet profile →
  2. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third national health and nutrition examination survey
    2002 2.2k citations Josef Coresh, Brad C. Astor et al. American Journal of Kidney Diseases profile →
  3. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report
    2010 1.7k citations Andrew S. Levey, Paul E. de Jong et al. Kidney International profile →
  4. KDOQI US Commentary on the 2012 KDIGO Clinical Practice Guideline for the Evaluation and Management of CKD
    2014 1.2k citations Lesley A. Inker, Brad C. Astor et al. American Journal of Kidney Diseases profile →
  5. KDOQI Clinical Practice Guideline for Vascular Access: 2019 Update
    2020 1.1k citations Charmaine E. Lok, Thomas S. Huber et al. American Journal of Kidney Diseases profile →
  6. 25-Hydroxyvitamin D Levels and the Risk of Mortality in the General Population
    2008 944 citations Michal L. Melamed, Erin D. Michos et al. Archives of Internal Medicine profile →
  7. Lower estimated glomerular filtration rate and higher albuminuria are associated with all-cause and cardiovascular mortality. A collaborative meta-analysis of high-risk population cohorts
    2011 717 citations Marije van der Velde, Kunihiro Matsushita et al. Kidney International profile →
  8. Cystatin C versus Creatinine in Determining Risk Based on Kidney Function
    2013 636 citations Michael G. Shlipak, Kunihiro Matsushita et al. New England Journal of Medicine profile →
  9. Chronic Kidney Disease Awareness, Prevalence, and Trends among U.S. Adults, 1999 to 2000
    2004 625 citations Josef Coresh, Danita D. Byrd-Holt et al. Journal of the American Society of Nephrology profile →
  10. Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts
    2011 608 citations Ron T. Gansevoort, Kunihiro Matsushita et al. Kidney International profile →
  11. Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate
    2002 582 citations Josef Coresh, Brad C. Astor et al. American Journal of Kidney Diseases profile →
  12. Cardiac Troponin T Measured by a Highly Sensitive Assay Predicts Coronary Heart Disease, Heart Failure, and Mortality in the Atherosclerosis Risk in Communities Study
    2011 561 citations Justin T. Saunders, Vijay Nambi et al. Circulation profile →
  13. Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study
    2008 542 citations Abbas Dehghan, Anna Köttgen et al. The Lancet profile →
  14. Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts
    2011 532 citations Brad C. Astor, Kunihiro Matsushita et al. Kidney International profile →
  15. Association of kidney function with anemia: the Third National Health and Nutrition Examination Survey (1988-1994).
    2002 527 citations Brad C. Astor, Paul Muntner et al. PubMed profile →
  16. Age and Association of Kidney Measures With Mortality and End-stage Renal Disease
    2012 417 citations Stein Hallan, Kunihiro Matsushita et al. JAMA profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brad C. Astor 14.7k 7.4k 5.3k 3.9k 3.5k 297 28.8k
Adeera Levin 19.0k 1.3× 6.0k 0.8× 5.0k 0.9× 5.1k 1.3× 3.2k 0.9× 418 33.1k
Harold I. Feldman 18.0k 1.2× 8.8k 1.2× 7.0k 1.3× 6.3k 1.6× 4.6k 1.3× 326 42.0k
Garabed Eknoyan 13.4k 0.9× 4.1k 0.5× 3.7k 0.7× 3.6k 0.9× 2.3k 0.7× 253 23.8k
Mark J. Sarnak 16.4k 1.1× 9.0k 1.2× 4.2k 0.8× 3.9k 1.0× 2.7k 0.8× 288 27.8k
Paul W. Eggers 16.7k 1.1× 7.3k 1.0× 4.9k 0.9× 4.9k 1.2× 4.1k 1.2× 127 35.2k
Csaba P. Kövesdy 15.7k 1.1× 4.0k 0.5× 5.0k 0.9× 4.5k 1.1× 3.4k 1.0× 565 28.8k
Allan J. Collins 13.7k 0.9× 4.9k 0.7× 3.8k 0.7× 3.7k 1.0× 1.6k 0.4× 275 22.6k
Norbert Lameire 15.6k 1.1× 3.1k 0.4× 3.9k 0.8× 5.9k 1.5× 1.7k 0.5× 408 26.5k
Francesco Locatelli 13.3k 0.9× 3.1k 0.4× 3.2k 0.6× 2.8k 0.7× 1.7k 0.5× 538 25.2k
Linda F. Fried 10.5k 0.7× 4.6k 0.6× 2.5k 0.5× 2.5k 0.6× 2.3k 0.7× 217 18.4k

Countries citing papers authored by Brad C. Astor

Since Specialization
Citations

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

Fields of papers citing papers by Brad C. Astor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad C. Astor. 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 Brad C. Astor. The network helps show where Brad C. Astor may publish in the future.

Co-authorship network of co-authors of Brad C. Astor

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

All Works

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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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