Kaiping Yang

80 papers receiving 2.9k citations

Peers

Kaiping Yang
Comparison fields: 5 of 122
  • Obstetrics and Gynecology 444
  • Endocrinology, Diabetes and Metabolism 983
  • Behavioral Neuroscience 202
  • Pediatrics, Perinatology and Child Health 948
  • Health, Toxicology and Mutagenesis 317
Replace A. N. Brooks with:
A. N. Brooks United Kingdom
E. Marelyn Wintour Australia
Robert A. Ahokas United States
D A Fisher United States
Miles J. De Blasio Australia
Tânia Maria Ortiga-Carvalho Brazil
Daniel B. Hardy Canada
Cynthia K. Sites United States
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Helen Budge United Kingdom
Kaiping Yang relative to A. N. Brooks United Kingdom A. N. Brooks's profile →
Citations per field
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A. N. Brooks · 1×
Citations per year

Countries citing papers authored by Kaiping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997147
2 2017146
3 2008132
4 2004127
5 200797
6 200593
7 199792
8 201286
9 201080
10 199877
11 199276
12 200476
13 200374
14 199459
15 199254
16 199753
17 198850
18 200850
19 202048
20 199948

About Kaiping Yang

Kaiping Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 81 papers that have together received 2.9k indexed citations. Recurring topics across this work include Birth, Development, and Health (40 papers), Hormonal Regulation and Hypertension (36 papers), Pregnancy and preeclampsia studies (13 papers), Aldose Reductase and Taurine (10 papers), Reproductive Physiology in Livestock (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Adipose Tissue and Metabolism (7 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Obstetrics and Gynecology (444 citations), Endocrinology, Diabetes and Metabolism (983 citations), Behavioral Neuroscience (202 citations), Pediatrics, Perinatology and Child Health (948 citations) and Health, Toxicology and Mutagenesis (317 citations). Kaiping Yang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Haiyan Guan, John Challis, Kang Sun, M. Yu, Edith Arany, J. R. G. Challis, David J. Hill, Victor K. M. Han, Daniel B. Hardy and R. Sampathkumar. Their work appears in journals such as Biology of Reproduction, Endocrinology, The Journal of Steroid Biochemistry and Molecular Biology, Placenta and Journal of Cellular Biochemistry.

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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