DM Regen

837 citations
10 papers · 693 · h-index 9

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Mitochondrial Function and Pathology 2
    • Diet and metabolism studies 3
    • Adipose Tissue and Metabolism 2

DM Regen

10 papers receiving 608 citations

Peers

DM Regen
Comparison fields: 5 of 76
  • Clinical Biochemistry 155
  • Biochemistry 112
  • Physiology 283
  • Endocrinology, Diabetes and Metabolism 122
  • Cellular and Molecular Neuroscience 101
Replace D. H. Williamson with:
D. H. Williamson United Kingdom
P. D. Gatfield Canada
Ulrich Langenbeck Germany
Koteswara R. Chundu United States
D. MICHAEL SALMON United Kingdom
Carmen Arizmendi Spain
Knox We
Margaret E. O’Flynn United States
Gianfrancesco Goracci Italy
Hiroshi Asaba Japan
DM Regen relative to D. H. Williamson United Kingdom D. H. Williamson's profile →
Citations per field
00.5×1.5×1.9×
D. H. Williamson · 1×
Citations per year

Countries citing papers authored by DM Regen

Since Specialization
Citations

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

Fields of papers citing papers by DM Regen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside DM Regen, 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 DM Regen Line = papers co-authored together DM Regen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Lipid transport in liver. I. Electron microscopic identification of very low density lipoproteins in perfused rat liver.
1967152
2 1976112
3 1968103
4 1970101
5 197164
6
The regulation of glucose uptake in muscle as studied in the perfused rat heart.
196154
7 197141
8
Regulation of glucose uptake in muscle. VI. Effects of hypophysectomy, adrenalectomy, growth hormone, hydrocortisone, and insulin on glucose transport and phosphorylation in the perfused rat heart.
196136
9 197322
10
The measurement of β-hydroxy-βmethylglutaryl-CoA reductase in rat liver; effects of fasting and refeeding.
19668

About DM Regen

DM Regen is a scholar working on Molecular Biology, Physiology, Clinical Biochemistry, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 10 papers that have together received 693 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Diet and metabolism studies (3 papers), Muscle metabolism and nutrition (2 papers), Adipose Tissue and Metabolism (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Clinical Biochemistry (155 citations), Biochemistry (112 citations), Physiology (283 citations), Endocrinology, Diabetes and Metabolism (122 citations) and Cellular and Molecular Neuroscience (101 citations). Frequent co-authors include Park Cr, Gray Me, MC Sugden, Morgan He, Enrique Cadenas, Bernd Hamprecht and Frédéric Lynen. Their work appears in journals such as American Journal of Physiology-Legacy Content, Journal of Biological Chemistry and PubMed.

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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