Ray Mickey

640 citations
15 papers · 492 · h-index 8

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Renal Transplantation Outcomes and Treatments 4
    • Bacteriophages and microbial interactions 4

Ray Mickey

15 papers receiving 454 citations

Peers

Ray Mickey
Comparison fields: 5 of 96
  • Transplantation 141
  • Aging 35
  • Endocrinology 23
  • Nephrology 27
  • Biotechnology 32
Replace John Connolly with:
John Connolly United Kingdom
Sophie Castagnet France
Cynthia Maddox United States
Dennis Versluis Netherlands
Richard L. Simmons United States
J. Olivares Spain
José Luis Martín-Barrasa Spain
Gupta India
Frank Stämmler Germany
Ernesto O. Hoffmann United States
Ray Mickey relative to John Connolly United Kingdom John Connolly's profile →
Citations per field
00.5×1.5×2.3×
John Connolly · 1×
Citations per year

Countries citing papers authored by Ray Mickey

Since Specialization
Citations

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

Fields of papers citing papers by Ray Mickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ray Mickey, 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 Ray Mickey Line = papers co-authored together Ray Mickey links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1971113
2 1967108
3 196770
4 197557
5 198753
6 198841
7 198415
8 197512
9
Risk factors for cadaveric donor allograft survival in cyclosporine-prednisone-treated recipients.
19877
10
Long-term graft survival.
19905
11 19593
12 19693
13 19702
14 19702
15 19871

About Ray Mickey

Ray Mickey is a scholar working on Transplantation, Ecology, Plant Science, Surgery and Nephrology, having authored 15 papers that have together received 492 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Plant Virus Research Studies (4 papers), Renal Transplantation Outcomes and Treatments (4 papers), Plant Disease Resistance and Genetics (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), T-cell and B-cell Immunology (2 papers), Transplantation: Methods and Outcomes (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Transplantation (141 citations), Aging (35 citations), Endocrinology (23 citations), Nephrology (27 citations) and Biotechnology (32 citations). Ray Mickey has collaborated with scholars based in United States and China. Frequent co-authors include Paul I. Terasaki, M. Kreisler, Roy L. Walford, Maria Gerbase‐DeLima, Kay E. Cheney, Marc I. Lorber, Charles T. Van Buren, Stuart M. Flechner, Barry D. Kahan and RONALD H. KERMAN. Their work appears in journals such as Virology, Gerontology, The Journal of Pediatrics, American Journal of Forensic Medicine & Pathology and 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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