Brian L. Dake

1.5k citations
38 papers · 1.3k · h-index 21

Impact in

Papers in

Brian L. Dake

37 papers receiving 1.3k citations

Peers

Brian L. Dake
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 767
  • Cancer Research 219
  • Cardiology and Cardiovascular Medicine 249
  • Physiology 220
  • Molecular Biology 568
Replace Atsushi Kosaki with:
Atsushi Kosaki Japan
Masayuki Hosoi Japan
Håkan Wennbo Sweden
Giulia Cantini Italy
Satoru Sumitani Japan
Russell J. Wiese United States
Marcel Blot‐Chabaud France
Dongxing Zhu United Kingdom
Takeshi Aoyama Japan
L Simonet United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990160
2 1990129
3 1988115
4 1989110
5 199259
6 198958
7 198754
8 201154
9 199042
10 198640
11 198839
12 201134
13 199033
14 199933
15 199233
16 199132
17 201031
18 201429
19 201025
20
Structure-function relationships in the heparin-binding C-terminal region of insulin-like growth factor binding protein-3.
199624

About Brian L. Dake

Brian L. Dake is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research and Cell Biology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Metabolism, Diabetes, and Cancer (9 papers), Lipid metabolism and disorders (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cardiovascular Function and Risk Factors (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Neuropeptides and Animal Physiology (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (767 citations), Cancer Research (219 citations), Cardiology and Cardiovascular Medicine (249 citations), Physiology (220 citations) and Molecular Biology (568 citations). Brian L. Dake has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Robert S. Bar, Mary Boes, Barbara A. Booth, Alexander Sandra, David R. Clemmons, Walker H. Busby, Mark A. Yorek, Eric P. Davidson, 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, Metabolism 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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