Joyce L.W. Yau

4.0k citations
59 papers · 3.3k indexed · h-index 33

Joyce L.W. Yau

58 papers receiving 3.2k citations

Peers

Joyce L.W. Yau
Comparison fields: 5 of 101
  • Behavioral Neuroscience 1.5k
  • Biological Psychiatry 301
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Developmental Neuroscience 175
  • Cellular and Molecular Neuroscience 538
Replace June Noble with:
June Noble United Kingdom
Irit Gil‐Ad Israel
Wayne Rowe Canada
Frank M. Dautzenberg Switzerland
EB De Souza United States
Elena Romeo Italy
Bruce S. McEwen United States
Claudia A. Grillo United States
R. H. Purdy United States
Luciano Angelucci Italy
Joyce L.W. Yau relative to June Noble United Kingdom June Noble's profile →
Citations per field
00.5×1.5×1.8×
June Noble · 1×
Citations per year

Countries citing papers authored by Joyce L.W. Yau

Since Specialization
Citations

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

Fields of papers citing papers by Joyce L.W. Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joyce L.W. Yau. 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 Joyce L.W. Yau. The network helps show where Joyce L.W. Yau may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20224
3 201715
4 201034
5 200742
6 200795
7 200367
8 200392
9 200221
10 200253
11 200138
12 200166
13 200118
14 200083
15 199962
16 199915
17 199926
18 199784
19 1995145
20 199439

About Joyce L.W. Yau

Joyce L.W. Yau is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 59 papers that have together received 3.3k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (43 papers), Hormonal Regulation and Hypertension (43 papers), Neuroendocrine regulation and behavior (17 papers), Estrogen and related hormone effects (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Apelin-related biomedical research (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers) and Adrenal Hormones and Disorders (5 papers). The work is most often cited by research in Behavioral Neuroscience (1.5k citations), Biological Psychiatry (301 citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Joyce L.W. Yau has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Jonathan R. Seckl, June Noble, Carina Hibberd, Michael J. Meaney, Karen E. Chapman, Brian R. Walker, John J. Mullins, Megan C. Holmes, J. R. Seckl and Richard Morris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Biochemical Journal.

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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