Xiong Yang

422 citations
4 papers · 228 · 1 hit paper · h-index 2

Impact in

Papers in

Xiong Yang

4 papers receiving 220 citations

Xiong Yang's Hit Papers

A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease 2023 · 118 citations
1180+1+2Years since publication255075100

Peers

Xiong Yang
Comparison fields: 5 of 50
  • Cellular and Molecular Neuroscience 78
  • Nutrition and Dietetics 31
  • Genetics 56
  • Health Informatics 2
  • Health, Toxicology and Mutagenesis 17
Replace Gaëlle Carrat with:
Gaëlle Carrat United Kingdom
Iris A. Horst United States
Eva M. Egido Spain
Yeon Suk Jo South Korea
Cristiane Cecatto Brazil
Margaret L. Warner United States
Jenni Hällfors Finland
María Teresa Flores-Dorantes Mexico
Xingwang Li China
Ritu Kumari India
Xiong Yang relative to Gaëlle Carrat United Kingdom Gaëlle Carrat's profile →
Citations per field
00.5×4.7×
Gaëlle Carrat · 1×
Citations per year

Countries citing papers authored by Xiong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
Hit paper breakdown →
2023118
2 1993108
3 20251
4
[Differential effects of low calcium on signal transmission from rods and cones to horizontal cells in carp retina].
19961

About Xiong Yang

Xiong Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Nutrition and Dietetics and Genetics, having authored 4 papers that have together received 228 indexed citations. Recurring topics across this work include Retinal Development and Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Trace Elements in Health (1 paper), Genetic and phenotypic traits in livestock (1 paper), Pancreatic function and diabetes (1 paper), Genetic Associations and Epidemiology (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (78 citations), Nutrition and Dietetics (31 citations), Genetics (56 citations), Health Informatics (2 citations) and Health, Toxicology and Mutagenesis (17 citations). Xiong Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jeffrey L. Noebels, Samuel M. Wu, Shoa L. Clarke, Patrick T. Ellinor, David A. van Heel, Krishna G. Aragam, Akl C. Fahed, Peter W.F. Wilson, Satoshi Koyama and Yan V. Sun. Their work appears in journals such as Vision Research, Nature Medicine, Diabetes and PubMed.

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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