George McGrady

5.5k citations
5 papers · 4.6k · 1 hit paper · h-index 5

Impact in

  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • Wound Healing and Treatments

Papers in

George McGrady

5 papers receiving 4.5k citations

George McGrady's Hit Papers

Conversion of Peripheral CD4+CD25− Naive T Cells to CD4+CD25+ Regulatory T Cells by TGF-β Induction of Transcription Factor Foxp3 2003 · 3.9k citations
3.9k0+7+15Years since publication10002.0k3.0k

Peers

George McGrady
Comparison fields: 5 of 107
  • Immunology 3.2k
  • Rehabilitation 209
  • Immunology and Allergy 169
  • Oncology 747
  • Transplantation 43
Replace Ke-Jian Lei with:
Ke-Jian Lei United States
Kurt Shanebeck Canada
Raúl Elgueta United States
Matthieu Rouleau France
Minoo Ahdieh Canada
Leonie S. Taams United Kingdom
Michael D. Rosenblum United States
Satoshi Ueha Japan
Milica Vukmanovic‐Stejic United Kingdom
WanJun Chen United States
George McGrady relative to Ke-Jian Lei United States Ke-Jian Lei's profile →
Citations per field
00.5×1.5×
Ke-Jian Lei · 1×
Citations per year

Countries citing papers authored by George McGrady

Since Specialization
Citations

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

Fields of papers citing papers by George McGrady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown

About George McGrady

George McGrady is a scholar working on Molecular Biology, Rehabilitation, Occupational Therapy, Oncology and Epidemiology, having authored 5 papers that have together received 4.6k indexed citations. Recurring topics across this work include Wound Healing and Treatments (2 papers), Parasites and Host Interactions (1 paper), Trypanosoma species research and implications (1 paper), NF-κB Signaling Pathways (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Immunotherapy and Immune Responses (1 paper), Research on Leishmaniasis Studies (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (3.2k citations), Rehabilitation (209 citations), Immunology and Allergy (169 citations), Oncology (747 citations) and Transplantation (43 citations). George McGrady has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Sharon M. Wahl, Wenwen Jin, Ke-Jian Lei, WanJun Chen, Neil J. Hardegen, Li Li, Nancy J. Marinos, Gillian S. Ashcroft, Ashok B. Kulkarni and Teresa Greenwell‐Wild. Their work appears in journals such as Nature Medicine, Journal of Leukocyte Biology, Wound Repair and Regeneration, Immunity and The Journal of Experimental Medicine.

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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