J.G. Schofield

586 citations
15 papers · 520 · h-index 12

Impact in

Papers in

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

J.G. Schofield

14 papers receiving 502 citations

Peers

J.G. Schofield
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 251
  • Physiology 26
  • Cell Biology 92
  • Endocrinology, Diabetes and Metabolism 86
  • Molecular Biology 326
Replace Pedro Sánchez‐García with:
Pedro Sánchez‐García Spain
Ravindra K. Malhotra United States
M. Schorderet Switzerland
H C Hemmings United States
A Ambrosini Italy
Debra Mullikin-Kilpatrick United States
M. Maus France
R.A. Rius Italy
Rosa Guarneri Italy
Dayao Zhao United States
J.G. Schofield relative to Pedro Sánchez‐García Spain Pedro Sánchez‐García's profile →
Citations per field
00.5×1.5×1.8×
Pedro Sánchez‐García · 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 1990144
2 198378
3 199872
4 197954
5 199131
6 199829
7 199624
8 197517
9 197116
10 199515
11 198814
12 199313
13 19937
14 19846
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 520 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (4 papers), Ion channel regulation and function (3 papers), Lipid Membrane Structure and Behavior (3 papers), Glycosylation and Glycoproteins Research (3 papers), Metabolism and Genetic Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (251 citations), Physiology (26 citations), Cell Biology (92 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Molecular Biology (326 citations). J.G. Schofield has collaborated with scholars based in United Kingdom, Slovakia and Portugal. Frequent co-authors include Andrew J. Irving, Jeffrey C. Watkins, Graham L. Collingridge, David C. Sunter, Spencer Shorte, Guy A. Rutter, R.J. Bicknell, Peter W. Young, Aristea E. Pouli and Helen J. Kennedy. Their work appears in journals such as Cell Calcium, Biochemical Journal, FEBS Letters, Molecular and Cellular Endocrinology and Journal of Endocrinology.

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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