K Yang

20 papers receiving 390 citations

Peers

K Yang
Comparison fields: 5 of 55
  • Behavioral Neuroscience 88
  • Obstetrics and Gynecology 87
  • Pediatrics, Perinatology and Child Health 198
  • Endocrinology, Diabetes and Metabolism 167
  • Agronomy and Crop Science 25
Replace Montserrat deM. Fencl with:
Montserrat deM. Fencl United States
M. Yu Canada
Yasunobu EGUCHI Japan
I. Vanderheyden Belgium
B Loras France
Jane E. Mijovic Canada
Alan J. Winters United States
M Nicol United Kingdom
Julie E. Mercer Australia
Vijayakumar Chinnathambi United States
K Yang relative to Montserrat deM. Fencl United States Montserrat deM. Fencl's profile →
Citations per field
00.5×
Montserrat deM. Fencl · 1×
Citations per year

Countries citing papers authored by K Yang

Since Specialization
Citations

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

Fields of papers citing papers by K Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200256
2 201142
3 199940
4 200438
5 199831
6 199531
7 199529
8 199425
9 200020
10 200317
11 199117
12 198915
13
[11 beta-Hydroxysteroid dehydrogenase].
199810
14 19895
15 19955
16 19984
17 20243
18 20242
19 19981
20 20231

About K Yang

K Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Cell Biology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 392 indexed citations. Recurring topics across this work include Birth, Development, and Health (12 papers), Hormonal Regulation and Hypertension (10 papers), Aldose Reductase and Taurine (4 papers), Adrenal Hormones and Disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Stress Responses and Cortisol (2 papers), Epigenetics and DNA Methylation (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Behavioral Neuroscience (88 citations), Obstetrics and Gynecology (87 citations), Pediatrics, Perinatology and Child Health (198 citations), Endocrinology, Diabetes and Metabolism (167 citations) and Agronomy and Crop Science (25 citations). K Yang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Daniel B. Hardy, Stephen G. Matthews, J. R. G. Challis, Feng Lu, Andrew D. Darnel, Alexandra Thompson, Victor K. M. Han, Trevor Archer, R. Sampathkumar and John Challis. Their work appears in journals such as Journal of Endocrinology, Reproduction Fertility and Development, Biology of Reproduction, The Journal of Steroid Biochemistry and Molecular Biology and The Journal of Clinical Endocrinology & Metabolism.

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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