Paul E. de Jong

38.2k citations
311 papers · 24.9k · 9 hit papers · h-index 73

Impact in

  • Nephrology top 0.01%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal Diseases and Glomerulopathies
    • Blood Pressure and Hypertension Studies
    • Renin-Angiotensin System Studies

Papers in

    • Chronic Kidney Disease and Diabetes 115
    • Dialysis and Renal Disease Management 83
    • Renal Diseases and Glomerulopathies 32
    • Blood Pressure and Hypertension Studies 90
    • Renin-Angiotensin System Studies 29

Paul E. de Jong

306 papers receiving 24.1k citations

Paul E. de Jong's Hit Papers

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis 2012 · 976 citations
9760+10+20Years since publication50010001.5k2.0k2.5k

Peers

Paul E. de Jong
Comparison fields: 5 of 162
  • Nephrology 13.0k
  • Cardiology and Cardiovascular Medicine 8.6k
  • Transplantation 904
  • Endocrinology, Diabetes and Metabolism 4.4k
  • Pulmonary and Respiratory Medicine 4.1k
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Paul E. de Jong relative to Brad C. Astor United States Brad C. Astor's profile →
Citations per field
00.5×1.5×
Brad C. Astor · 1×
Citations per year

Countries citing papers authored by Paul E. de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. de Jong. 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 E. de Jong. The network helps show where Paul E. de Jong may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul E. de Jong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul E. de Jong Line = papers co-authored together Paul E. de Jong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 311 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis
Hit paper breakdown →
20102962
2
The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report
Hit paper breakdown →
20101668
3
Urinary Albumin Excretion Predicts Cardiovascular and Noncardiovascular Mortality in General Population
Hit paper breakdown →
20021164
4
Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis
Hit paper breakdown →
2012976
5
Progression of Chronic Kidney Disease: The Role of Blood Pressure Control, Proteinuria, and Angiotensin-Converting Enzyme Inhibition: A Patient-Level Meta-Analysis
Hit paper breakdown →
2003775
6
Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement
Hit paper breakdown →
2004759
7
Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts
Hit paper breakdown →
2011610
8
Trimethoprim–Sulfamethoxazole (Co-Trimoxazole) for the Prevention of Relapses of Wegener's Granulomatosis
Hit paper breakdown →
1996538
9
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
Hit paper breakdown →
2011533
10 2001489
11 2004382
12 2012321
13 2001292
14 2003275
15 2000274
16 1994239
17 2003199
18 2008195
19 2008191
20 1995190

About Paul E. de Jong

Paul E. de Jong is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 311 papers that have together received 24.9k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (115 papers), Blood Pressure and Hypertension Studies (90 papers), Dialysis and Renal Disease Management (83 papers), Renal Diseases and Glomerulopathies (32 papers), Renin-Angiotensin System Studies (29 papers), Renal and Vascular Pathologies (20 papers), Sodium Intake and Health (17 papers) and Electrolyte and hormonal disorders (17 papers). The work is most often cited by research in Nephrology (13.0k citations), Cardiology and Cardiovascular Medicine (8.6k citations), Transplantation (904 citations), Endocrinology, Diabetes and Metabolism (4.4k citations) and Pulmonary and Respiratory Medicine (4.1k citations). Paul E. de Jong has collaborated with scholars based in Netherlands, United States and Pakistan. Frequent co-authors include Dick de Zeeuw, Ron T. Gansevoort, Kunihiro Matsushita, Josef Coresh, Andrew S. Levey, Brad C. Astor, Hans L. Hillege, Stephan J. L. Bakker, Mark Woodward and Marije van der Velde. Their work appears in journals such as Kidney International, Nephrology Dialysis Transplantation, American Journal of Kidney Diseases, Journal of the American Society of Nephrology and Clinical Journal of the American Society of Nephrology.

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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