William E. Mitch

52.2k citations
332 papers · 39.9k · 17 hit papers · h-index 84

Impact in

  • Nephrology top 0.01%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
  • Physiology top 0.05%
    • Nutrition and Health in Aging
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

William E. Mitch

323 papers receiving 37.9k citations

William E. Mitch's Hit Papers

Mechanisms of muscle wasting in chronic kidney disease 2014 · 466 citations
4660+10+20Years since publication10002.0k3.0k4.0k5.0k

Peers

William E. Mitch
Comparison fields: 5 of 180
  • Nephrology 10.7k
  • Physiology 9.5k
  • Endocrinology, Diabetes and Metabolism 4.9k
  • Cardiology and Cardiovascular Medicine 6.2k
  • Cell Biology 4.6k
Replace James R. Sowers with:
James R. Sowers United States
Joseph V. Bonventre United States
Nosratola D. Vaziri United States
Peter Arner Sweden
Iichiro Shimomura Japan
Coen D.A. Stehouwer Netherlands
Ralph A. DeFronzo United States
Michael Brownlee United States
Peter Stenvinkel Sweden
Mark E. Cooper Australia
William E. Mitch relative to James R. Sowers United States James R. Sowers's profile →
Citations per field
00.5×3.5×
James R. Sowers · 1×
Citations per year

Countries citing papers authored by William E. Mitch

Since Specialization
Citations

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

Fields of papers citing papers by William E. Mitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Mitch. 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 William E. Mitch. The network helps show where William E. Mitch may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 332 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effects of Losartan on Renal and Cardiovascular Outcomes in Patients with Type 2 Diabetes and Nephropathy
Hit paper breakdown →
20015706
2
Diabetes and Cardiovascular Disease
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19992200
3
A proposed nomenclature and diagnostic criteria for protein–energy wasting in acute and chronic kidney disease
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20071505
4
Multiple types of skeletal muscle atrophy involve a common program of changes in gene expression
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20041289
5
Oxidation of tetrahydrobiopterin leads to uncoupling of endothelial cell nitric oxide synthase in hypertension
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20031284
6
Oxidation of tetrahydrobiopterin leads to uncoupling of endothelial cell nitric oxide synthase in hypertension
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20031254
7
AHA Dietary Guidelines
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20001238
8
Protein Degradation by the Ubiquitin–Proteasome Pathway in Normal and Disease States
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2006998
9
Mechanisms of Muscle Wasting — The Role of the Ubiquitin–Proteasome Pathway
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1996982
10
Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: Lessons from RENAAL
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2004769
11
Etiology of the Protein-Energy Wasting Syndrome in Chronic Kidney Disease: A Consensus Statement From the International Society of Renal Nutrition and Metabolism (ISRNM)
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2013673
12
A method for estimating nitrogen intake of patients with chronic renal failure
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1985663
13
Muscle Protein Breakdown and the Critical Role of the Ubiquitin-Proteasome Pathway in Normal and Disease States
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1999612
14
Activation of caspase-3 is an initial step triggering accelerated muscle proteolysis in catabolic conditions
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2004605
15
Albuminuria, a Therapeutic Target for Cardiovascular Protection in Type 2 Diabetic Patients With Nephropathy
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2004589
16 2006494
17
Mechanisms of muscle wasting in chronic kidney disease
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2014466
18 2000449
19 2003435
20 1996411

About William E. Mitch

William E. Mitch is a scholar working on Molecular Biology, Cell Biology, Physiology, Nephrology and Clinical Biochemistry, having authored 332 papers that have together received 39.9k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (88 papers), Dialysis and Renal Disease Management (69 papers), Metabolism and Genetic Disorders (63 papers), Muscle Physiology and Disorders (48 papers), Diet and metabolism studies (40 papers), Nutrition and Health in Aging (26 papers), Renal function and acid-base balance (22 papers) and Adipose Tissue and Metabolism (21 papers). The work is most often cited by research in Nephrology (10.7k citations), Physiology (9.5k citations), Endocrinology, Diabetes and Metabolism (4.9k citations), Cardiology and Cardiovascular Medicine (6.2k citations) and Cell Biology (4.6k citations). William E. Mitch has collaborated with scholars based in United States, China and Italy. Frequent co-authors include S. Russ Price, Alfred L. Goldberg, Barry M. Brenner, Dick de Zeeuw, William F. Keane, Shahnaz Shahinfar, Giuseppe Remuzzi, Mark E. Cooper, Hans‐Henrik Parving and Stewart H. Lecker. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, Journal of Clinical Investigation, American Journal of Kidney Diseases and Journal of Renal Nutrition.

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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