James Ashmore

130 papers receiving 3.2k citations

Peers

James Ashmore
Comparison fields: 5 of 118
  • Clinical Biochemistry 415
  • Biochemistry 411
  • Endocrinology, Diabetes and Metabolism 852
  • Physiology 1.1k
  • Cancer Research 416
Replace I.T. Oliver with:
I.T. Oliver Australia
Roger W. Brownsey Canada
Kimberly D. Kluckman United States
Michel Dauça France
Christopher J. Walkey Canada
Stephen J. Yeaman United Kingdom
Glenn L. Wilson United States
Sotirios K. Karathanasis United States
William B. Rizzo United States
Nils Welsh Sweden
James Ashmore relative to I.T. Oliver Australia I.T. Oliver's profile →
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Citations per year

Countries citing papers authored by James Ashmore

Since Specialization
Citations

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

Fields of papers citing papers by James Ashmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967215
2 1958178
3 1959173
4 2015125
5 1955114
6 1958109
7
Studies on carbohydrate metabolism in rat liver slices. VI. Hormonal factors influencing glucose-6-phosphatase.
1956109
8 195495
9 196693
10 196693
11 197793
12 195690
13
COMPARATIVE BIOCHEMISTRY HEPATOMAS. IV. ISOTOPE STUDIES OF GLUCOSE AND FRUCTOSE METABOLISM IN LIVER TUMORS OF DIFFERENT GROWTH RATES.
196378
14 195673
15 197461
16 195759
17 195758
18 202151
19 195750
20 196347

About James Ashmore

James Ashmore is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology, having authored 134 papers that have together received 3.6k indexed citations. Recurring topics across this work include Diet and metabolism studies (32 papers), Metabolism, Diabetes, and Cancer (22 papers), Pancreatic function and diabetes (22 papers), Liver Disease Diagnosis and Treatment (22 papers), Adipose Tissue and Metabolism (21 papers), Diet, Metabolism, and Disease (18 papers), Metabolism and Genetic Disorders (16 papers) and Glycogen Storage Diseases and Myoclonus (10 papers). The work is most often cited by research in Clinical Biochemistry (415 citations), Biochemistry (411 citations), Endocrinology, Diabetes and Metabolism (852 citations), Physiology (1.1k citations) and Cancer Research (416 citations). James Ashmore has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include A. Baird Hastings, George F. Cahill, Albert E. Renold, Sylvia Zottu, Frances B. Nesbett, S.R. Wagle, P. H. Wright, Willy Malaisse, George Weber and Alison Earle. Their work appears in journals such as Journal of Biological Chemistry, Experimental Biology and Medicine, Biochemical Pharmacology, Diabetes and 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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