Paul Muntner
- Nephrology top 0.5%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Co-authors
- John H. EckfeldtMichael J. KlagJ. Clinton SmithJosef CoreshHenry E. WangGlenn M. ChertowDavid G. WarnockC. Barrett Bowling
- Topics
- Blood Pressure and Hypertension Studies (6 papers)Chronic Kidney Disease and Diabetes (4 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)
- Partner nations
- United StatesPoland
In The Last Decade
Paul Muntner
13 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Nephrology 816
- Cardiology and Cardiovascular Medicine 297
- Surgery 265
- Endocrinology, Diabetes and Metabolism 249
- Epidemiology 212
Countries citing papers authored by Paul Muntner
This map shows the geographic impact of Paul Muntner'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 Paul Muntner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Muntner more than expected).
Fields of papers citing papers by Paul Muntner
This network shows the impact of papers produced by Paul Muntner. 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 Paul Muntner. The network helps show where Paul Muntner may publish in the future.
Co-authorship network of co-authors of Paul Muntner
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Muntner. A scholar is included among the top collaborators of Paul Muntner 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 Paul Muntner. Paul Muntner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 91 | |
| 6 | LDL cholesterol response and statin adherence among high-risk patients initiating treatment. | 24 |
| 7 | 37 | |
| 8 | 22 | |
| 9 | 42 | |
| 10 | 63 | |
| 11 | Acute Kidney Injury and Mortality in Hospitalized Patientsbreakdown → | 377 |
| 12 | 21 | |
| 13 | 53 | |
| 14 | 85 | |
| 15 | Plasma lipids and risk of developing renal dysfunction: The Atherosclerosis Risk in Communities Studybreakdown → | 533 |
About Paul Muntner
Paul Muntner is a scholar working on Nephrology, Family Practice and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Nephrology (816 citations), Geriatrics and Gerontology (65 citations) and Critical Care and Intensive Care Medicine (84 citations). Paul Muntner has collaborated with scholars based in United States and Poland. Frequent co-authors include John H. Eckfeldt, Michael J. Klag, J. Clinton Smith, Josef Coresh, Henry E. Wang, Glenn M. Chertow, David G. Warnock, C. Barrett Bowling, Monika M. Safford and Viola Vaccarino. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and American Journal of Epidemiology.
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.