Tom Greene

125.2k citations
558 papers · 101.2k · 28 hit papers · h-index 115

Impact in

  • Nephrology top 0.01%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Renal Diseases and Glomerulopathies
    • Parathyroid Disorders and Treatments

Papers in

    • Dialysis and Renal Disease Management 108
    • Chronic Kidney Disease and Diabetes 92
    • Acute Kidney Injury Research 22
    • Renal Diseases and Glomerulopathies 20
    • Blood Pressure and Hypertension Studies 46

Tom Greene

544 papers receiving 97.6k citations

Tom Greene's Hit Papers

A meta-analysis of GFR slope as a surrogate endpoint for kidney failure 2023 · 114 citations
1140+5+10Years since publication10002.0k3.0k4.0k

Peers

Tom Greene
Comparison fields: 5 of 202
  • Nephrology 38.7k
  • Transplantation 2.4k
  • Endocrinology, Diabetes and Metabolism 12.8k
  • Cardiology and Cardiovascular Medicine 12.8k
  • Emergency Medical Services 3.6k
Replace Glenn Matthew Chertow with:
Glenn Matthew Chertow United States
Andrew S. Levey United States
John W. Kusek United States
Kamyar Kalantar‐Zadeh United States
Christoph Wanner Germany
Csaba Pal Kovesdy United States
Harold I. Feldman United States
Adeera Levin Canada
Rinaldo Bellomo Australia
Eberhard Ritz Germany
Tom Greene relative to Glenn Matthew Chertow United States Glenn Matthew Chertow's profile →
Citations per field
00.5×1.7×
Glenn Matthew Chertow · 1×
Citations per year

Countries citing papers authored by Tom Greene

Since Specialization
Citations

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

Fields of papers citing papers by Tom Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Greene, 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 Tom Greene Line = papers co-authored together Tom Greene links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 558 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A New Equation to Estimate Glomerular Filtration Rate
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200921494
2
A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation
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199913336
3
Using Standardized Serum Creatinine Values in the Modification of Diet in Renal Disease Study Equation for Estimating Glomerular Filtration Rate
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20065048
4
Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy
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20194586
5
Dapagliflozin in Patients with Chronic Kidney Disease
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20203838
6
Estimating Glomerular Filtration Rate from Serum Creatinine and Cystatin C
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20123376
7
Assessing Kidney Function — Measured and Estimated Glomerular Filtration Rate
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20062452
8
Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third national health and nutrition examination survey
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20022310
9
Low-Level Environmental Lead Exposure and Children’s Intellectual Function: An International Pooled Analysis
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20051829
10
Expressing the Modification of Diet in Renal Disease Study Equation for Estimating Glomerular Filtration Rate with Standardized Serum Creatinine Values
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20071623
11
Effect of Dialysis Dose and Membrane Flux in Maintenance Hemodialysis
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20021539
12
Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD
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2008900
13
Effect of Clopidogrel on Early Failure of Arteriovenous Fistulas for Hemodialysis
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2008670
14
Factors other than glomerular filtration rate affect serum cystatin C levels
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2009651
15 2002646
16
APOL1 Risk Variants, Race, and Progression of Chronic Kidney Disease
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2013644
17
Predictors of the progression of renal disease in the Modification of Diet in Renal Disease Study
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1997590
18
Intensive Blood-Pressure Control in Hypertensive Chronic Kidney Disease
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2010577
19
Performance of the Modification of Diet in Renal Disease and Cockcroft-Gault Equations in the Estimation of GFR in Health and in Chronic Kidney Disease
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2004566
20
Comparative Performance of the CKD Epidemiology Collaboration (CKD-EPI) and the Modification of Diet in Renal Disease (MDRD) Study Equations for Estimating GFR Levels Above 60 mL/min/1.73 m2
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2010505

About Tom Greene

Tom Greene is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Emergency Medical Services, Endocrinology, Diabetes and Metabolism and Statistics and Probability, having authored 558 papers that have together received 101.2k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (108 papers), Chronic Kidney Disease and Diabetes (92 papers), Blood Pressure and Hypertension Studies (46 papers), Diabetes Treatment and Management (41 papers), Central Venous Catheters and Hemodialysis (34 papers), Acute Kidney Injury Research (22 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers) and Renal Diseases and Glomerulopathies (20 papers). The work is most often cited by research in Nephrology (38.7k citations), Transplantation (2.4k citations), Endocrinology, Diabetes and Metabolism (12.8k citations), Cardiology and Cardiovascular Medicine (12.8k citations) and Emergency Medical Services (3.6k citations). Tom Greene has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Andrew S. Levey, Josef Coresh, John W. Kusek, Lesley A. Stevens, Frederick Van Lente, Yaping Zhang, Christopher H. Schmid, Harold I. Feldman, Julia Breyer Lewis and Paul W. Eggers. Their work appears in journals such as Journal of the American Society of Nephrology, American Journal of Kidney Diseases, Kidney International, Clinical Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

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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