Paula McGray
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- S100 Proteins and Annexins
- Lipid Membrane Structure and Behavior
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- TGF-β signaling in diseases 1
- Surgery 3
- Pancreatic function and diabetes 3
- Co-authors
- R. Blake Pepinsky (4 shared papers)E P Chow (3 shared papers)Catherine Hession (3 shared papers)Richard Tizard (2 shared papers)Berit Johansen (2 shared papers)Ruth M. Kramer (2 shared papers)Lesley K. Sinclair (2 shared papers)Kuo‐Sen Huang (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cell (1 paper)Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis (1 paper)Biochemical and Biophysical Research Communications (1 paper)AIDS Research and Human Retroviruses (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Paula McGray
9 papers receiving 1.1k citations
Paula McGray's Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 802
- Cell Biology 187
- Immunology and Allergy 60
- Immunology 157
- Genetics 203
Countries citing papers authored by Paula McGray
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structure and Properties of a Human Non-pancreatic Phospholipase A2 Hit paper breakdown → | 1989 | 625 |
| 2 | 1986 | 396 | |
| 3 | 1991 | 76 | |
| 4 | 1987 | 73 | |
| 5 | 1992 | 20 | |
| 6 | 1983 | 4 | |
| 7 | 1984 | 4 | |
| 8 | 1991 | 3 | |
| 9 | 1981 | 1 |
About Paula McGray
Paula McGray is a scholar working on Molecular Biology, Surgery, Biotechnology, Nutrition and Dietetics and Immunology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Enzyme Production and Characterization (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), TGF-β signaling in diseases (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Molecular Biology (802 citations), Cell Biology (187 citations), Immunology and Allergy (60 citations), Immunology (157 citations) and Genetics (203 citations). Paula McGray has collaborated with scholars based in United States and Norway. Frequent co-authors include R. Blake Pepinsky, E P Chow, Catherine Hession, Richard Tizard, Berit Johansen, Ruth M. Kramer, Lesley K. Sinclair, Kuo‐Sen Huang, Robert J. Mattaliano and John Tang. Their work appears in journals such as Journal of Biological Chemistry, Cell, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Biochemical and Biophysical Research Communications and AIDS Research and Human Retroviruses.
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.