Xia Yang
Impact in
Papers in
-
- Bioinformatics and Genomic Networks 24
- Single-cell and spatial transcriptomics 12
- Genetics 30
- Genetic Associations and Epidemiology 19
- Co-authors
- Aldons J. Lusis (26 shared papers)Eric E. Schadt (10 shared papers)Thomas A. Drake (3 shared papers)Arthur P. Arnold (5 shared papers)Susanna Wang (7 shared papers)Douglas Arneson (19 shared papers)Leslie Ingram-Drake (1 shared paper)Hui Wang (1 shared paper)
- Journals
- eLife (8 papers)PLoS Genetics (4 papers)Genome Research (4 papers)Diabetes (4 papers)Cell Reports (4 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xia Yang
173 papers receiving 7.0k citations
Xia Yang's Hit Papers
Peers
Comparison fields: 5 of 158
- Aging 105
- Genetics 1.5k
- Neurology 381
- Molecular Biology 3.1k
- Physiology 1.0k
Countries citing papers authored by Xia Yang
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
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.
All Works
Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An integrative genomics approach to infer causal associations between gene expression and disease Hit paper breakdown → | 2005 | 741 |
| 2 | Tissue-specific expression and regulation of sexually dimorphic genes in mice Hit paper breakdown → | 2006 | 676 |
| 3 | 2007 | 274 | |
| 4 | 2019 | 236 | |
| 5 | 2017 | 235 | |
| 6 | 2012 | 220 | |
| 7 | 2010 | 212 | |
| 8 | 2014 | 192 | |
| 9 | 2013 | 176 | |
| 10 | 2010 | 170 | |
| 11 | 2016 | 147 | |
| 12 | 2014 | 141 | |
| 13 | 2018 | 132 | |
| 14 | 2021 | 130 | |
| 15 | 2019 | 121 | |
| 16 | 2018 | 106 | |
| 17 | 2009 | 101 | |
| 18 | 2016 | 89 | |
| 19 | 2017 | 85 | |
| 20 | 2016 | 82 |
About Xia Yang
Xia Yang is a scholar working on Molecular Biology, Genetics, Physiology, Epidemiology and Immunology, having authored 235 papers that have together received 7.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (24 papers), Genetic Associations and Epidemiology (19 papers), Adipose Tissue and Metabolism (15 papers), Single-cell and spatial transcriptomics (12 papers), Liver Disease Diagnosis and Treatment (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Diet, Metabolism, and Disease (9 papers) and Diet and metabolism studies (9 papers). The work is most often cited by research in Aging (105 citations), Genetics (1.5k citations), Neurology (381 citations), Molecular Biology (3.1k citations) and Physiology (1.0k citations). Xia Yang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Aldons J. Lusis, Eric E. Schadt, Thomas A. Drake, Arthur P. Arnold, Susanna Wang, Douglas Arneson, Leslie Ingram-Drake, Hui Wang, Qingying Meng and Le Shu. Their work appears in journals such as eLife, PLoS Genetics, Genome Research, Diabetes and Cell Reports.
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.