William McClellan

5.3k citations
78 papers · 3.7k indexed · h-index 35

William McClellan

75 papers receiving 3.6k citations

Peers

William McClellan
Comparison fields: 5 of 137
  • Nephrology 1.6k
  • Transplantation 307
  • Hematology 531
  • Cardiology and Cardiovascular Medicine 736
  • Genetics 256
Replace David Churchill with:
David Churchill Canada
David C. Mendelssohn Canada
Jennifer L. Bragg‐Gresham United States
Kailash Jindal Canada
Elani Streja United States
Tariq Shafi United States
David A. Goodkin United States
Roberto Minutolo Italy
Naomi Clyne Sweden
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William McClellan relative to David Churchill Canada David Churchill's profile →
Citations per field
00.5×1.5×
David Churchill · 1×
Citations per year

Countries citing papers authored by William McClellan

Since Specialization
Citations

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

Fields of papers citing papers by William McClellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201742
2 201644
3 201641
4 20150
5 201516
6 201422
7 201415
8 201129
9 20115
10 201188
11 201037
12 200937
13 2008284
14 200734
15 2006136
16 200530
17 20029
18 199423
19 199445
20
The epidemiology of end-stage renal disease in Georgia.
19901

About William McClellan

William McClellan is a scholar working on Nephrology, Transplantation, Hematology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 78 papers that have together received 3.7k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (33 papers), Chronic Kidney Disease and Diabetes (18 papers), Blood Pressure and Hypertension Studies (11 papers), Renal and Vascular Pathologies (10 papers), Healthcare Policy and Management (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Erythropoietin and Anemia Treatment (6 papers) and Chronic Disease Management Strategies (5 papers). The work is most often cited by research in Nephrology (1.6k citations), Transplantation (307 citations), Hematology (531 citations), Cardiology and Cardiovascular Medicine (736 citations) and Genetics (256 citations). William McClellan has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include J. Michael Soucie, George Howard, Suzanne E. Judd, Viola Vaccarino, Leslie A. McClure, David G. Warnock, Claudine Jurkovitz, Jerome L. Abramson, William Weintraub and Mary Cushman. Their work appears in journals such as American Journal of Kidney Diseases, Journal of the American Society of Nephrology, American Journal of Nephrology, Kidney International 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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