Virginia Gray

2.9k citations
13 papers · 2.5k indexed · 1 hit paper · h-index 13
Topics
Cell Adhesion Molecules Research (13 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Protease and Inhibitor Mechanisms (3 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Virginia Gray

13 papers receiving 2.5k citations

Hit Papers

Phosphoinositide-3-OH kinase-dependent regulation of glyc...19982026200720161998250500750

Peers

Virginia Gray
Comparison fields: 5 of 92
  • Molecular Biology 1.7k
  • Immunology and Allergy 1.1k
  • Cell Biology 666
  • Cancer Research 356
  • Immunology 314
Replace Jie Leng with:
Jie Leng United States
Marc Delcommenne United States
Stefan Wennström Sweden
Armelle A. Troussard Canada
Richard A. Klinghoffer United States
Clara Tan Canada
Martin A. Broome United States
A A Reszka United States
Sarah Attwell United States
W G King United States
Virginia Gray relative to Jie Leng United States Jie Leng's profile →
Citations per field
00.5×1.5×
Jie Leng · 1×
Citations per year

Countries citing papers authored by Virginia Gray

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Gray. A scholar is included among the top collaborators of Virginia Gray 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 Virginia Gray. Virginia Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 18
2 185
3 44
4 423
5 67
6 370
7
Phosphoinositide-3-OH kinase-dependent regulation of glycogen synthase kinase 3 and protein kinase B/AKT by the integrin-linked kinasebreakdown →
924
8 12
9 125
10 186
11 55
12 76
13 16

About Virginia Gray

Virginia Gray is a scholar working on Immunology and Allergy, Cancer Research and Cell Biology, having authored 13 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Cell Biology (666 citations) and Molecular Biology (1.7k citations). Virginia Gray has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Shoukat Dedhar, Marc Delcommenne, Clara Tan, James R. Woodgett, Jasbinder S. Sanghera, Sujata Persad, Sarah Attwell, Mumtaz V. Rojiani, Armelle A. Troussard and B. Brett Finlay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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