B Ermel

954 citations
14 papers · 805 indexed · h-index 13

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 9
    • Protein Kinase Regulation and GTPase Signaling 6
    • Peroxisome Proliferator-Activated Receptors 2
    • Receptor Mechanisms and Signaling 2

B Ermel

14 papers receiving 774 citations

Peers

B Ermel
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 220
  • Molecular Biology 620
  • Physiology 195
  • Surgery 247
  • Cell Biology 88
Replace B. Obermaier–Kusser with:
B. Obermaier–Kusser Germany
M. Todaka Japan
Eva-Maria D. Nielsen Denmark
Scott C. McCoid United States
Yasuhisa Hino Japan
Anne Reifel‐Miller United States
A. R. Diani United States
Albert Jochen United States
Sharon F. Clark Australia
Katie Cavino United States
B Ermel relative to B. Obermaier–Kusser Germany B. Obermaier–Kusser's profile →
Citations per field
00.5×1.6×
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-authorship network

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 199268
2 199187
3 199186
4 199127
5 199038
6
Mannose, glucosamine and inositol monophosphate inhibit the effects of insulin on lipogenesis. Further evidence for a role for inositol phosphate-oligosaccharides in insulin action.
199048
7 198985
8 198940
9 198783
10
Insulin receptor kinase defects as a possible cause of cellular insulin resistance.
198716
11 198735
12 198696
13 198684
14 198512

About B Ermel

B Ermel is a scholar working on Cell Biology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Biochemistry, having authored 14 papers that have together received 805 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), Receptor Mechanisms and Signaling (2 papers), Phytase and its Applications (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (220 citations), Molecular Biology (620 citations), Physiology (195 citations), Surgery (247 citations) and Cell Biology (88 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 Journal of Biological Chemistry, Biochemical Journal, Diabetes, FEBS Letters and Biochemistry.

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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