C.J. Arrington

865 citations
10 papers · 654 · h-index 10

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Renal Transplantation Outcomes and Treatments 5
    • Organ Transplantation Techniques and Outcomes 3

C.J. Arrington

10 papers receiving 631 citations

Peers

C.J. Arrington
Comparison fields: 5 of 66
  • Transplantation 199
  • Nephrology 330
  • Emergency Medical Services 211
  • Hepatology 59
  • Pulmonary and Respiratory Medicine 184
Replace David M. Dickinson with:
David M. Dickinson United States
Karl Koenig United States
Aurelio Limido Italy
Shubhada N. Ahya United States
Magid Fahim Australia
K. Simpson United Kingdom
Waqar Kazmi United States
Xingxing S. Cheng United States
Yvonne C. Schrama Netherlands
C Jacobs France
C.J. Arrington relative to David M. Dickinson United States David M. Dickinson's profile →
Citations per field
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Citations per year

Countries citing papers authored by C.J. Arrington

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Arrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.J. Arrington. 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 C.J. Arrington. The network helps show where C.J. Arrington may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009265
2 2011110
3 201056
4 201051
5 200845
6 201237
7 200937
8 201120
9 201017
10 200816

About C.J. Arrington

C.J. Arrington is a scholar working on Transplantation, Surgery, Nephrology, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 10 papers that have together received 654 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Donation and Transplantation (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Dialysis and Renal Disease Management (3 papers), Liver Disease and Transplantation (3 papers), Healthcare Policy and Management (2 papers), Vascular Procedures and Complications (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in Transplantation (199 citations), Nephrology (330 citations), Emergency Medical Services (211 citations), Hepatology (59 citations) and Pulmonary and Respiratory Medicine (184 citations). C.J. Arrington has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jesse D. Schold, Robert A. Wolfe, Rajiv Saran, Ronald L. Pisoni, Friedrich K. Port, Akira Saitō, Jeffrey J. Sands, Mahesh Krishnan, Hugh C. Rayner and Naoki Kimata. Their work appears in journals such as American Journal of Transplantation, Clinical Journal of the American Society of Nephrology, American Journal of Kidney Diseases, Nephrology Dialysis Transplantation and Progress in 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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