Xiling Wen
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 6
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- Neuroscience and Neuropharmacology Research 11
- Molecular Biology top 10%
- Gene expression and cancer classification 4
- Ion channel regulation and function 3
- Bioinformatics and Genomic Networks 2
- RNA Research and Splicing 2
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms 4
- Neural dynamics and brain function 2
- Psychiatry and Mental health top 10%
- Co-authors
- Paul S. BuckmasterJeffery L. BarkerSusan V. SmithRoland SomogyiStefanie FuhrmanGeorge S. MichaelsDaniel B. CarrDragan Maric
- Journals
- Journal of Neuroscience (4 papers)The Journal of Comparative Neurology (3 papers)Epilepsia (2 papers)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Xiling Wen
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 245
- Cellular and Molecular Neuroscience 637
- Molecular Biology 752
- Cognitive Neuroscience 185
- Psychiatry and Mental health 128
Countries citing papers authored by Xiling Wen
This map shows the geographic impact of Xiling Wen'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 Xiling Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiling Wen more than expected).
Fields of papers citing papers by Xiling Wen
This network shows the impact of papers produced by Xiling Wen. 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 Xiling Wen. The network helps show where Xiling Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiling Wen, 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 | 2017 | 58 | |
| 2 | 2013 | 38 | |
| 3 | 2011 | 48 | |
| 4 | 2009 | 88 | |
| 5 | 2009 | 107 | |
| 6 | 2008 | 9 | |
| 7 | 2006 | 5 | |
| 8 | 2003 | 100 | |
| 9 | Genetic network inference | 2000 | 10 |
| 10 | Making sense of large-scale gene expression data with simple computational techniques | 2000 | 2 |
| 11 | 2000 | 5 | |
| 12 | 2000 | 74 | |
| 13 | 1999 | 36 | |
| 14 | 1999 | 242 | |
| 15 | 1998 | 471 | |
| 16 | 1997 | 36 |
About Xiling Wen
Xiling Wen is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Environmental Chemistry, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Gene expression and cancer classification (4 papers), Memory and Neural Mechanisms (4 papers), Ion channel regulation and function (3 papers), Neural dynamics and brain function (2 papers), Bioinformatics and Genomic Networks (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Developmental Neuroscience (245 citations), Cellular and Molecular Neuroscience (637 citations), Molecular Biology (752 citations), Cognitive Neuroscience (185 citations) and Psychiatry and Mental health (128 citations). Xiling Wen has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Paul S. Buckmaster, Jeffery L. Barker, Susan V. Smith, Roland Somogyi, Stefanie Fuhrman, George S. Michaels, Daniel B. Carr, Dragan Maric, Masayuki Kobayashi and Qiying Liu. Their work appears in journals such as Journal of Neuroscience, The Journal of Comparative Neurology, Epilepsia, Biosystems and Journal of Neurophysiology.
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.