Xia Yang

163 papers receiving 6.1k citations

Hit Papers

Tissue-specific expression and regulation of sexually dimorphic genes in mice 2006 · 672 citations
6722006202620122019200400600

Peers

Xia Yang
Comparison fields: 5 of 156
  • Aging 106
  • Neurology 399
  • Genetics 1.3k
  • Molecular Biology 3.0k
  • Physiology 1.1k
Replace Je Kyung Seong with:
Je Kyung Seong South Korea
Sara Mostafavi Canada
Andrew I. Brooks United States
Richard J. Rodenburg Netherlands
Donald Defranco United States
Osamu Hori Japan
Kevin Morgan United Kingdom
Yan Liu China
Jurgen Del‐Favero Belgium
Olga Tanaseichuk United States
Xia Yang relative to Je Kyung Seong South Korea Je Kyung Seong's profile →
Citations per field
00.5×1.5×2.0×
Je Kyung Seong · 1×
Citations per year

Countries citing papers authored by Xia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tissue-specific expression and regulation of sexually dimorphic genes in mice
Hit paper breakdown →
2006672
2 2007275
3 2017229
4 2019226
5 2012219
6 2010207
7 2014185
8 2013174
9 2010168
10 2016143
11 2014138
12 2021127
13 2018124
14 2019119
15 2018106
16 2009101
17 201687
18 201785
19 201682
20 202066

About Xia Yang

Xia Yang is a scholar working on Biological Psychiatry, Aging, Developmental Neuroscience, Neurology and Physiology, having authored 192 papers that have together received 6.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (30 papers), Genetic Associations and Epidemiology (22 papers), Adipose Tissue and Metabolism (17 papers), Liver Disease Diagnosis and Treatment (16 papers), Single-cell and spatial transcriptomics (13 papers), Diet, Metabolism, and Disease (12 papers), Diet and metabolism studies (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Aging (106 citations), Neurology (399 citations), Genetics (1.3k citations), Molecular Biology (3.0k citations) and Physiology (1.1k citations). Xia Yang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Aldons J. Lusis, Eric E. Schadt, Arthur P. Arnold, Susanna Wang, Douglas Arneson, Thomas A. Drake, Leslie Ingram-Drake, Hui Wang, Qingying Meng and Le Shu. Their work appears in journals such as eLife, Diabetes, BMC Genomics, Arteriosclerosis Thrombosis and Vascular Biology and Genome Research.

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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