D. Bretherton‐Watt

1.2k citations
27 papers · 975 indexed · h-index 18

D. Bretherton‐Watt

27 papers receiving 927 citations

Peers

D. Bretherton‐Watt
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 116
  • Endocrinology, Diabetes and Metabolism 260
  • Cellular and Molecular Neuroscience 254
  • Pathology and Forensic Medicine 220
  • Physiology 239
Replace Kazuo Chihara with:
Kazuo Chihara Japan
Junji Iwasaki Japan
Robin L. Mozell United States
Laurence Périn France
Martin G. Bialer United States
Takako Kawanami Japan
Ruth M. Shepherd United Kingdom
J.L.C. Ch'ng United Kingdom
Ramin A. Behmand United States
Xiao‐Qing Dai Canada
D. Bretherton‐Watt relative to Kazuo Chihara Japan Kazuo Chihara's profile →
Citations per field
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Kazuo Chihara · 1×
Citations per year

Countries citing papers authored by D. Bretherton‐Watt

Since Specialization
Citations

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

Fields of papers citing papers by D. Bretherton‐Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2004123
2 200333
3 2001102
4 19933
5 19939
6 199218
7 199114
8 199124
9 199069
10 199036
11 199015
12 198927
13 198953
14 1989146
15 198920
16 198822
17 198840
18 198844
19 19885
20 198840

About D. Bretherton‐Watt

D. Bretherton‐Watt is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Reproductive Medicine and Physiology, having authored 27 papers that have together received 975 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Neuropeptides and Animal Physiology (8 papers), Diabetes Treatment and Management (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Alzheimer's disease research and treatments (3 papers), Vitamin D Research Studies (3 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (116 citations), Endocrinology, Diabetes and Metabolism (260 citations), Cellular and Molecular Neuroscience (254 citations), Pathology and Forensic Medicine (220 citations) and Physiology (239 citations). D. Bretherton‐Watt has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Stephen R. Bloom, M.A. Ghatei, Janine Mansi, M.A. Ghatei, Valerie A. Thomas, S. G. Gilbey, J. Beacham, S.R. Bloom, Kazuhiro Takahashi and Paul N. Black. Their work appears in journals such as Regulatory Peptides, FEBS Letters, The Journal of Clinical Endocrinology & Metabolism, Diabetologia and Journal of 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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