B Ermel

955 citations
14 papers · 849 · h-index 13

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 9
    • Protein Kinase Regulation and GTPase Signaling 6
    • Peroxisome Proliferator-Activated Receptors 2
    • Biotin and Related Studies 2
    • Cellular transport and secretion 2

B Ermel

14 papers receiving 803 citations

Peers

B Ermel
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 228
  • Molecular Biology 635
  • Physiology 198
  • Surgery 256
  • Cell Biology 89
Replace B. Obermaier–Kusser with:
B. Obermaier–Kusser Germany
S Hügl Germany
M. Todaka Japan
Wendy Gitomer United States
Yasuhisa Hino Japan
Albert Jochen United States
M.J. Zarnowski United States
Mindy A. Kendrick United States
Xudong Huang China
Katie Cavino United States
B Ermel relative to B. Obermaier–Kusser Germany B. Obermaier–Kusser's profile →
Citations per field
00.5×1.7×
B. Obermaier–Kusser · 1×
Citations per year

Countries citing papers authored by B Ermel

Since Specialization
Citations

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

Fields of papers citing papers by B Ermel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1986107
2 199192
3 198991
4 199189
5 198689
6 198787
7 199270
8
Mannose, glucosamine and inositol monophosphate inhibit the effects of insulin on lipogenesis. Further evidence for a role for inositol phosphate-oligosaccharides in insulin action.
199049
9 198942
10 199041
11 198736
12 199127
13
Insulin receptor kinase defects as a possible cause of cellular insulin resistance.
198717
14 198512

About B Ermel

B Ermel is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 849 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Biotin and Related Studies (2 papers), Cellular transport and secretion (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (228 citations), Molecular Biology (635 citations), Physiology (198 citations), Surgery (256 citations) and Cell Biology (89 citations). B Ermel has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Fausto Machicao, B. Obermaier, Hans‐Ulrich Häring, Hans-Ulrich Häring, B. Obermaier–Kusser, D. Kirsch, Monika Kellerer, Morris F. White, Beate Vogt and Joanne Mushack. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Diabetologia and Proceedings of the National Academy of Sciences.

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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