JOHN C. HUTTON

1.4k citations
21 papers · 1.3k · h-index 16

Impact in

Papers in

JOHN C. HUTTON

21 papers receiving 1.1k citations

Peers

JOHN C. HUTTON
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 437
  • Surgery 929
  • Genetics 382
  • Cell Biology 216
  • Physiology 55
Replace Fumio Shimada with:
Fumio Shimada Japan
Kimie Sho Japan
Edwin P. Kwan Canada
Daniel Eberhard Germany
C. Southern United Kingdom
Rajakrishnan Veluthakal United States
Gang G. Xu United States
Latif Rachdi France
Niels Blume Denmark
Mabrouka Doghman France
JOHN C. HUTTON relative to Fumio Shimada Japan Fumio Shimada's profile →
Citations per field
00.5×2×2.9×
Fumio Shimada · 1×
Citations per year

Countries citing papers authored by JOHN C. HUTTON

Since Specialization
Citations

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

Fields of papers citing papers by JOHN C. HUTTON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JOHN C. HUTTON. 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 JOHN C. HUTTON. The network helps show where JOHN C. HUTTON may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979319
2 1987130
3 2000102
4 198095
5 198484
6 199483
7 197973
8 199567
9 199262
10 198852
11 197849
12 198844
13 198133
14 198432
15 197932
16 198416
17 199111
18
The interplay between metabolic and cationic events in islet cells: coupling factors and feedback mechanisms.
19807
19
Sequential events in the process of glucose-induced insulin release
19776
20 19956

About JOHN C. HUTTON

JOHN C. HUTTON is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Cell Biology and Molecular Biology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Diabetes and associated disorders (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Receptor Mechanisms and Signaling (5 papers), Diabetes Management and Research (4 papers), Diet, Metabolism, and Disease (3 papers), Peptidase Inhibition and Analysis (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (437 citations), Surgery (929 citations), Genetics (382 citations), Cell Biology (216 citations) and Physiology (55 citations). JOHN C. HUTTON has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include André Herchuelz, Willy J. Malaisse, Aziz Şener, Howard W. Davidson, W J Malaisse, C. Nicholas Hales, Paul C. Guest, Kevin Docherty, Donald F. Steiner and A Sener. Their work appears in journals such as Diabetologia, Biochemical Journal, Endocrinology, Journal of Biological Chemistry and The Journal of Membrane 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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