Brian L. Dake

1.5k citations
37 papers · 1.3k indexed · h-index 20

Brian L. Dake

37 papers receiving 1.2k citations

Peers

Brian L. Dake
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 754
  • Cancer Research 225
  • Cardiology and Cardiovascular Medicine 246
  • Physiology 227
  • Molecular Biology 570
Replace Luisella Alberti with:
Luisella Alberti Italy
Béatrice Jaspard‐Vinassa France
Josef V. Silha Canada
Kenta Magoori Japan
Håkan Wennbo Sweden
Giulia Cantini Italy
David M. Flavell United Kingdom
Ken Masatsugu Japan
Toru Sugiyama Japan
L Simonet United States
Brian L. Dake relative to Luisella Alberti Italy Luisella Alberti's profile →
Citations per field
00.5×3.5×
Luisella Alberti · 1×
Citations per year

Countries citing papers authored by Brian L. Dake

Since Specialization
Citations

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

Fields of papers citing papers by Brian L. Dake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian L. Dake. 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 Brian L. Dake. The network helps show where Brian L. Dake may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201153
2 201023
3 200917
4 200210
5 20021
6 20003
7 19988
8 199615
9 199258
10 199130
11 1990151
12 199042
13 199032
14 1990124
15 1989100
16 198952
17 198834
18 1988109
19 198748
20 19848

About Brian L. Dake

Brian L. Dake is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine, Cell Biology and Molecular Biology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (19 papers), Cancer, Hypoxia, and Metabolism (8 papers), Lipid metabolism and disorders (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Cardiovascular Function and Risk Factors (4 papers), Neuropeptides and Animal Physiology (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (754 citations), Cancer Research (225 citations), Cardiology and Cardiovascular Medicine (246 citations), Physiology (227 citations) and Molecular Biology (570 citations). Brian L. Dake has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Robert S. Bar, Barbara A. Booth, Mary Boes, Alexander Sandra, Walker H. Busby, David R. Clemmons, Eric P. Davidson, Mark A. Yorek, Lawrence J. Coppey and M. Boes. Their work appears in journals such as Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, Growth Hormone & IGF Research, European Journal of Pharmacology and Molecular 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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