Xia Yang
Impact in
Papers in
-
- Bioinformatics and Genomic Networks 32
- Single-cell and spatial transcriptomics 14
- Metabolomics and Mass Spectrometry Studies 11
- Genetics 40
- Genetic Associations and Epidemiology 28
- Co-authors
- Aldons Jake Lusis (25 shared papers)Douglas V. Arneson (18 shared papers)Eric E. Schadt (6 shared papers)Qingying Meng (10 shared papers)Le Shu (11 shared papers)Fernando Gómez‐Pinilla (12 shared papers)Zeyneb Kurt (11 shared papers)Yuqi Zhao (8 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (8 papers)eLife (8 papers)PLoS Genetics (7 papers)Nature Communications (6 papers)Cell Reports (6 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xia Yang
226 papers receiving 10.5k citations
Xia Yang's Hit Papers
Peers
Comparison fields: 5 of 167
- Genetics 2.7k
- Aging 136
- Molecular Biology 5.0k
- Physiology 1.4k
- Neurology 440
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 327 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 | 825 |
| 2 | Mapping the Genetic Architecture of Gene Expression in Human Liver Hit paper breakdown → | 2008 | 782 |
| 3 | Variations in DNA elucidate molecular networks that cause disease Hit paper breakdown → | 2008 | 727 |
| 4 | Co-regulatory networks of human serum proteins link genetics to disease Hit paper breakdown → | 2018 | 434 |
| 5 | 2013 | 291 | |
| 6 | 2007 | 288 | |
| 7 | 2017 | 264 | |
| 8 | 2019 | 261 | |
| 9 | 2012 | 240 | |
| 10 | 2009 | 237 | |
| 11 | 2010 | 203 | |
| 12 | 2014 | 200 | |
| 13 | 2013 | 194 | |
| 14 | 2016 | 169 | |
| 15 | 2014 | 167 | |
| 16 | 2014 | 157 | |
| 17 | 2010 | 147 | |
| 18 | 2021 | 142 | |
| 19 | 2013 | 141 | |
| 20 | 2018 | 136 |
About Xia Yang
Xia Yang is a scholar working on Molecular Biology, Genetics, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 327 papers that have together received 10.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (32 papers), Genetic Associations and Epidemiology (28 papers), Adipose Tissue and Metabolism (19 papers), Single-cell and spatial transcriptomics (14 papers), Diet, Metabolism, and Disease (13 papers), Liver Disease Diagnosis and Treatment (13 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Diet and metabolism studies (11 papers). The work is most often cited by research in Genetics (2.7k citations), Aging (136 citations), Molecular Biology (5.0k citations), Physiology (1.4k citations) and Neurology (440 citations). Xia Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Aldons Jake Lusis, Douglas V. Arneson, Eric E. Schadt, Qingying Meng, Le Shu, Fernando Gómez‐Pinilla, Zeyneb Kurt, Yuqi Zhao, Montgomery Blencowe and In Sook Ahn. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, eLife, PLoS Genetics, Nature Communications 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.