H M Tepperman

458 citations
15 papers · 381 · h-index 9

Impact in

  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

    • Adipose Tissue and Metabolism 7
    • Diet and metabolism studies 3
    • Lipid Membrane Structure and Behavior 2
    • Metabolomics and Mass Spectrometry Studies 2

H M Tepperman

14 papers receiving 354 citations

Peers

H M Tepperman
Comparison fields: 5 of 59
  • Biochemistry 53
  • Physiology 179
  • Endocrine and Autonomic Systems 43
  • Endocrinology, Diabetes and Metabolism 102
  • Cell Biology 77
Replace RO Scow with:
RO Scow Japan
V P Kovacev United States
Jean Himms Hagen Canada
Krishna Chakrabarty United States
Jean Peret France
RM Denton United Kingdom
Marc Chanez France
D. R. Jensen United States
M.I. Malewiak France
Angelika Harneit Germany
H M Tepperman relative to RO Scow Japan RO Scow's profile →
Citations per field
00.5×1.5×
RO Scow · 1×
Citations per year

Countries citing papers authored by H M Tepperman

Since Specialization
Citations

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

Fields of papers citing papers by H M Tepperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H M Tepperman. 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 H M Tepperman. The network helps show where H M Tepperman may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 197684
2 197856
3 197751
4 197944
5 197544
6 196840
7 198022
8 197915
9 19768
10 19727
11 19834
12
The concentration of cyclic AMP and the activity of cyclic AMP dependent protein kinase and an inhibitor in the adipose tissue of rats fed lard or glucose diets.
19783
13 19802
14 19691
15 20090

About H M Tepperman

H M Tepperman is a scholar working on Physiology, Molecular Biology, Surgery, Cell Biology and Animal Science and Zoology, having authored 15 papers that have together received 381 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Pancreatic function and diabetes (4 papers), Muscle metabolism and nutrition (4 papers), Diet and metabolism studies (3 papers), Animal Nutrition and Physiology (2 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biochemistry (53 citations), Physiology (179 citations), Endocrine and Autonomic Systems (43 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Cell Biology (77 citations). H M Tepperman has collaborated with scholars based in United States. Frequent co-authors include Jay Tepperman, James M. Tepperman, C Ip, Nada A. Abumrad, P D Holohan, Charles R. Ross and E.L. Tolman. Their work appears in journals such as Journal of Lipid Research, Hormone and Metabolic Research, Experimental Biology and Medicine, Diabetes and American Journal of Physiology-Legacy Content.

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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