Paula McGray

1.3k citations
8 papers · 1.1k indexed · 1 hit paper · h-index 5

Paula McGray

8 papers receiving 1.1k citations

Hit Papers

Structure and Properties of a Human Non-pancreatic Phosph...6011989202620012013200400600

Peers

Paula McGray
Comparison fields: 5 of 78
  • Cell Biology 186
  • Molecular Biology 780
  • Immunology and Allergy 57
  • Immunology 149
  • Genetics 196
Replace Yasunori Yokota with:
Yasunori Yokota Japan
Kozui Shii Japan
Gabriele Rincke Germany
Andrea R. Schievella United States
Charles T. Beer Canada
Bernard Rothhut France
Jorge Martı́n-Pérez Spain
Masato Takimoto Japan
Augustine Y. Lin United States
Margaret A. Lawlor United Kingdom
Paula McGray relative to Yasunori Yokota Japan Yasunori Yokota's profile →
Citations per field
00.5×1.5×
Yasunori Yokota · 1×
Citations per year

Countries citing papers authored by Paula McGray

Since Specialization
Citations

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

Fields of papers citing papers by Paula McGray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

8 of 8 papers shown
#Work
1 199221
2 19913
3 199173
4
Structure and Properties of a Human Non-pancreatic Phospholipase A2breakdown →
1989601
5 198770
6 1986378
7 19842
8 19811

About Paula McGray

Paula McGray is a scholar working on Biotechnology, Immunology and Allergy, Endocrine and Autonomic Systems, Immunology and Hematology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Chemical Synthesis and Analysis (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Bacteriophages and microbial interactions (1 paper), Biochemical and Structural Characterization (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Cell Biology (186 citations), Molecular Biology (780 citations), Immunology and Allergy (57 citations), Immunology (149 citations) and Genetics (196 citations). Paula McGray has collaborated with scholars based in United States. Frequent co-authors include R. Blake Pepinsky, E P Chow, Catherine Hession, Richard Tizard, Berit Johansen, Ruth M. Kramer, Robert J. Mattaliano, Kuo‐Sen Huang, Lesley K. Sinclair and John Yew Huat Tang. Their work appears in journals such as Journal of Biological Chemistry, AIDS Research and Human Retroviruses, Annals of the New York Academy of Sciences, Cell and Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis.

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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