D. McMaster

39 papers receiving 1.4k citations

Peers

D. McMaster
Comparison fields: 5 of 96
  • Behavioral Neuroscience 247
  • Endocrinology, Diabetes and Metabolism 392
  • Pharmacology 331
  • Cellular and Molecular Neuroscience 262
  • Surgery 480
Replace E. Bergamini with:
E. Bergamini Italy
Enrico Brignardello Italy
Hao Hong China
Kiyomitsu Nemoto Japan
C. E. Mondon United States
Zhixing Yao United States
G Zahnd Switzerland
Takao Matsuo Japan
E. Arilla Spain
Zoltán Balázs Switzerland
D. McMaster relative to E. Bergamini Italy E. Bergamini's profile →
Citations per field
00.5×3.1×
E. Bergamini · 1×
Citations per year

Countries citing papers authored by D. McMaster

Since Specialization
Citations

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

Fields of papers citing papers by D. McMaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982239
2 2003122
3 1982104
4 198893
5 199875
6 198465
7 199251
8 201150
9 198341
10 198540
11 198339
12 197337
13 200936
14 200735
15 200433
16 198828
17 199227
18
Urotensin I - a novel CRF-like peptide in Catostomus commersoni urophysis.
198226
19 201026
20 197324

About D. McMaster

D. McMaster is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Complementary and alternative medicine, Pharmacology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers), Hormonal Regulation and Hypertension (12 papers), Apelin-related biomedical research (8 papers), Ion channel regulation and function (6 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Neuropeptides and Animal Physiology (4 papers), Biochemical effects in animals (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Behavioral Neuroscience (247 citations), Endocrinology, Diabetes and Metabolism (392 citations), Pharmacology (331 citations), Cellular and Molecular Neuroscience (262 citations) and Surgery (480 citations). D. McMaster has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include K. Lederis, Anita A. Letter, David H. Schlesinger, Gordon Moore, Pascal McKeown, Ulvi Bayraktutan, Sibel Ülker, Hiroo Itoh, Yasuhíro Suzuki and O.P. Rorstad. Their work appears in journals such as Peptides, Canadian Journal of Chemistry, Molecular Pharmacology, Journal of Biological Chemistry and American Journal of Clinical Nutrition.

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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