Xiling Wen

1.8k citations
16 papers · 1.3k · h-index 12

Impact in

Papers in

Xiling Wen

15 papers receiving 1.3k citations

Peers

Xiling Wen
Comparison fields: 5 of 117
  • Developmental Neuroscience 237
  • Cellular and Molecular Neuroscience 617
  • Molecular Biology 709
  • Cognitive Neuroscience 179
  • Psychiatry and Mental health 120
Replace Kirsten Arndt with:
Kirsten Arndt Germany
Thorsten Storck Germany
Andrew Jenkins United States
Kyung‐Ok Cho South Korea
Sudhir Sivakumaran United States
J.L. Giacchino United States
Bruce E. Herring United States
Erzsebet M. Szatmari United States
Levi B. Good United States
Linda R. Mills Canada
Xiling Wen relative to Kirsten Arndt Germany Kirsten Arndt's profile →
Citations per field
00.5×1.5×2.2×
Kirsten Arndt · 1×
Citations per year

Countries citing papers authored by Xiling Wen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Xiling Wen Line = papers co-authored together Xiling Wen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1998472
2 1999244
3 2009108
4 2003100
5 200989
6 200074
7 201760
8 201148
9 201338
10 199936
11 199736
12
Genetic network inference
200011
13 20089
14 20065
15 20005
16
Making sense of large-scale gene expression data with simple computational techniques
20002

About Xiling Wen

Xiling Wen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience 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 (10 papers), Neurogenesis and neuroplasticity mechanisms (4 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 (237 citations), Cellular and Molecular Neuroscience (617 citations), Molecular Biology (709 citations), Cognitive Neuroscience (179 citations) and Psychiatry and Mental health (120 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 Carol A. Colton. Their work appears in journals such as Journal of Neuroscience, The Journal of Comparative Neurology, Epilepsia, Neuroreport and Biosystems.

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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