J.G. Schofield

586 citations
15 papers · 548 · h-index 12

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Glycosylation and Glycoproteins Research 3
    • Ion channel regulation and function 3
    • Lipid Membrane Structure and Behavior 3
    • Metabolism, Diabetes, and Cancer 2
    • Neuroscience and Neuropharmacology Research 2

J.G. Schofield

14 papers receiving 519 citations

Peers

J.G. Schofield
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 266
  • Endocrinology, Diabetes and Metabolism 90
  • Cell Biology 95
  • Physiology 26
  • Molecular Biology 344
Replace Ravindra K. Malhotra with:
Ravindra K. Malhotra United States
Pedro Sánchez‐García Spain
Edward Daly United States
Debra Mullikin-Kilpatrick United States
M. Maus France
A Ambrosini Italy
Rosa Guarneri Italy
Dayao Zhao United States
Nataliya Rybalchenko United States
R. A. Schulz United States
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Citations per field
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Ravindra K. Malhotra · 1×
Citations per year

Countries citing papers authored by J.G. Schofield

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Schofield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.G. Schofield. 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 J.G. Schofield. The network helps show where J.G. Schofield may publish in the future.

Co-authors

The 17 scholars most cited alongside J.G. Schofield, 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 J.G. Schofield Line = papers co-authored together J.G. Schofield links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1990153
2 198379
3 199874
4 197959
5 199831
6 199131
7 199624
8 197520
9 197118
10 198816
11 199516
12 199313
13 19937
14 19847
15 19840

About J.G. Schofield

J.G. Schofield is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Clinical Biochemistry, having authored 15 papers that have together received 548 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ion channel regulation and function (3 papers), Lipid Membrane Structure and Behavior (3 papers), Metabolism and Genetic Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (266 citations), Endocrinology, Diabetes and Metabolism (90 citations), Cell Biology (95 citations), Physiology (26 citations) and Molecular Biology (344 citations). J.G. Schofield has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Andrew J. Irving, Graham L. Collingridge, Jeffrey C. Watkins, David C. Sunter, Spencer Shorte, R.J. Bicknell, Guy A. Rutter, Peter W. Young, Helen J. Kennedy and Aristea E. Pouli. Their work appears in journals such as Biochemical Journal, Cell Calcium, Molecular and Cellular Endocrinology, Journal of Endocrinology and FEBS Letters.

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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