Eva Xia
Impact in
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- Genetic Neurodegenerative Diseases
- Nerve injury and regeneration
- Neurotransmitter Receptor Influence on Behavior
- Developmental Neuroscience top 10%
Papers in
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- Genetic Neurodegenerative Diseases 4
- Neurotransmitter Receptor Influence on Behavior 1
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- Ubiquitin and proteasome pathways 3
- Gene expression and cancer classification 2
- Lipid Membrane Structure and Behavior 1
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Ghazaleh Sadri‐Vakili (5 shared papers)Ryan P. Overland (3 shared papers)Tim W. Clark (3 shared papers)Steven M. Hersch (1 shared paper)Caroline Benn (1 shared paper)Zhihua Qiu (1 shared paper)Kelly E. Glajch (1 shared paper)George J. Yohrling (1 shared paper)
- Journals
- PLoS ONE (2 papers)Nature Communications (2 papers)Journal of Neuroscience (2 papers)Nature Genetics (1 paper)Insights into Imaging (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Eva Xia
11 papers receiving 562 citations
Peers
Comparison fields: 5 of 56
- Cellular and Molecular Neuroscience 319
- Developmental Neuroscience 37
- Genetics 160
- Molecular Biology 392
- Biological Psychiatry 11
Countries citing papers authored by Eva Xia
This map shows the geographic impact of Eva Xia'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 Eva Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Xia more than expected).
Fields of papers citing papers by Eva Xia
This network shows the impact of papers produced by Eva Xia. 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 Eva Xia. The network helps show where Eva Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 183 | |
| 2 | 2010 | 141 | |
| 3 | 2012 | 78 | |
| 4 | 2008 | 60 | |
| 5 | 2020 | 33 | |
| 6 | 2022 | 28 | |
| 7 | 2011 | 24 | |
| 8 | 2013 | 12 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 3 | |
| 11 | 2007 | 2 |
About Eva Xia
Eva Xia is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Developmental Neuroscience and Gastroenterology, having authored 11 papers that have together received 574 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), Gene expression and cancer classification (2 papers), Foreign Body Medical Cases (1 paper), Lipid Membrane Structure and Behavior (1 paper), Neurotransmitter Receptor Influence on Behavior (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (319 citations), Developmental Neuroscience (37 citations), Genetics (160 citations), Molecular Biology (392 citations) and Biological Psychiatry (11 citations). Eva Xia has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Ghazaleh Sadri‐Vakili, Ryan P. Overland, Tim W. Clark, Steven M. Hersch, Caroline Benn, Zhihua Qiu, Kelly E. Glajch, George J. Yohrling, Katie R. Famous and Fair M. Vassoler. Their work appears in journals such as PLoS ONE, Nature Communications, Journal of Neuroscience, Nature Genetics and Insights into Imaging.
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.