George McGrady

5.5k total citations · 1 hit paper
5 papers, 4.6k citations indexed

About

George McGrady is a scholar working on Molecular Biology, Rehabilitation and Occupational Therapy. According to data from OpenAlex, George McGrady has authored 5 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Rehabilitation and 1 paper in Occupational Therapy. Recurrent topics in George McGrady's work include Wound Healing and Treatments (2 papers), Trypanosoma species research and implications (1 paper) and TGF-β signaling in diseases (1 paper). George McGrady is often cited by papers focused on Wound Healing and Treatments (2 papers), Trypanosoma species research and implications (1 paper) and TGF-β signaling in diseases (1 paper). George McGrady collaborates with scholars based in United States, United Kingdom and South Korea. George McGrady's co-authors include Wenwen Jin, Sharon M. Wahl, Neil J. Hardegen, Li Li, Nancy J. Marinos, WanJun Chen, Xiaoyu Song, Gillian S. Ashcroft, Ashok B. Kulkarni and Ke-Jian Lei and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Immunity.

In The Last Decade

George McGrady

5 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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 WanJun Chen, Wenwen Jin et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
George McGrady United States	5	3.5k	830	677	326	283	5	4.6k
Na Xiong United States	26	3.4k 1.0×	907 1.1×	1.1k 1.6×	266 0.8×	307 1.1×	63	4.7k
Kurt Shanebeck Canada	16	3.4k 1.0×	834 1.0×	650 1.0×	161 0.5×	235 0.8×	21	4.3k
Dietmar M. Zaiss United Kingdom	30	2.2k 0.6×	569 0.7×	1.0k 1.5×	225 0.7×	274 1.0×	56	3.7k
L T May United States	22	2.0k 0.6×	977 1.2×	797 1.2×	369 1.1×	284 1.0×	34	3.8k
Federica Calzetti Italy	33	2.9k 0.8×	895 1.1×	962 1.4×	219 0.7×	297 1.0×	60	4.3k
WanJun Chen United States	16	3.5k 1.0×	1.1k 1.3×	1.0k 1.5×	381 1.2×	338 1.2×	18	5.5k
Minoo Ahdieh Canada	10	3.6k 1.0×	882 1.1×	550 0.8×	163 0.5×	273 1.0×	11	4.4k
SC Clark United States	32	1.8k 0.5×	917 1.1×	876 1.3×	389 1.2×	491 1.7×	60	4.0k
Leonie S. Taams United Kingdom	43	4.8k 1.4×	928 1.1×	1.0k 1.5×	330 1.0×	444 1.6×	100	7.0k
Josh Gregorio United States	15	4.7k 1.4×	616 0.7×	1.1k 1.7×	191 0.6×	474 1.7×	18	5.7k

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-authorship network of co-authors of George McGrady

This figure shows the co-authorship network connecting the top 25 collaborators of George McGrady. A scholar is included among the top collaborators of George McGrady based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George McGrady. George McGrady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

McCartney‐Francis, Nancy, Wenwen Jin, Yasmine Belkaid, George McGrady, & Sharon M. Wahl. (2014). Aberrant host defense againstLeishmania majorin the absence of SLPI. Journal of Leukocyte Biology. 96(5). 917–929. 9 indexed citations

2.

Ashcroft, Gillian S., Moon‐Jin Jeong, Jason Ashworth, et al.. (2011). Tumor necrosis factor‐alpha (TNF‐α) is a therapeutic target for impaired cutaneous wound healing. Wound Repair and Regeneration. 20(1). 38–49. 228 indexed citations

3.

Xu, Lili, Atsushi Kitani, Christina H. Stuelten, et al.. (2010). Positive and Negative Transcriptional Regulation of the Foxp3 Gene is Mediated by Access and Binding of the Smad3 Protein to Enhancer I. Immunity. 33(3). 313–325. 147 indexed citations

4.

Chen, WanJun, Wenwen Jin, Neil J. Hardegen, et al.. (2003). Conversion of Peripheral CD4+CD25− Naive T Cells to CD4+CD25+ Regulatory T Cells by TGF-β Induction of Transcription Factor Foxp3 . The Journal of Experimental Medicine. 198(12). 1875–1886. 3856 indexed citations breakdown →

5.

Ashcroft, Gillian S., Ke-Jian Lei, Wenwen Jin, et al.. (2000). Secretory leukocyte protease inhibitor mediates non-redundant functions necessary for normal wound healing. Nature Medicine. 6(10). 1147–1153. 331 indexed citations

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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