Kevin McDade

727 citations
14 papers · 512 · h-index 11

Impact in

Papers in

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

Kevin McDade

14 papers receiving 506 citations

Peers

Kevin McDade
Comparison fields: 5 of 84
  • Transplantation 228
  • Behavioral Neuroscience 47
  • Biological Psychiatry 30
  • Pediatrics, Perinatology and Child Health 144
  • Pharmacology 63
Replace Hitomi Sasaki with:
Hitomi Sasaki Japan
Rebecca M. Burke United States
Ping Wan China
Brian H. McCracken United States
Dana Jorgensen United States
Kiran Upadhyay United States
Edward E. Etheredge United States
Rong Hu China
A. Orsatti Italy
Francesco Serino Italy
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Citations per field
00.5×20×40×63×
Hitomi Sasaki · 1×
Citations per year

Countries citing papers authored by Kevin McDade

Since Specialization
Citations

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

Fields of papers citing papers by Kevin McDade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004116
2 200871
3 201167
4 200664
5 200552
6 200439
7 200430
8 201321
9 200417
10 202216
11 200613
12 20153
13 20042
14 20041

About Kevin McDade

Kevin McDade is a scholar working on Surgery, Transplantation, Oncology, Molecular Biology and Spectroscopy, having authored 14 papers that have together received 512 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Gene expression and cancer classification (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Transplantation (228 citations), Behavioral Neuroscience (47 citations), Biological Psychiatry (30 citations), Pediatrics, Perinatology and Child Health (144 citations) and Pharmacology (63 citations). Kevin McDade has collaborated with scholars based in United States and Egypt. Frequent co-authors include Adriana Zeevi, Gilbert J. Burckart, Diana Zaldonis, Steven Webber, Roger Day, Aldo Iacono, Erin G. Schuetz, Kenneth R. McCurry, James H. Dauber and Hongxia Zheng. Their work appears in journals such as Transplantation, BMC Bioinformatics, Transplant Immunology, Brain Behavior and Immunity and The Journal of Clinical Pharmacology.

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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