Marie Xun Wang

788 citations
6 papers · 573 indexed · 2 hit papers · h-index 6
Topics
Cerebrospinal fluid and hydrocephalus (3 papers)Traumatic Brain Injury and Neurovascular Disturbances (2 papers)Barrier Structure and Function Studies (1 paper)

In The Last Decade

Marie Xun Wang

6 papers receiving 570 citations

Hit Papers

Emerging roles for dynamic aquaporin-4 subcellular reloca...20212026202220242021202250100150

Peers

Marie Xun Wang
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 297
  • Molecular Biology 187
  • Neurology 140
  • Developmental Neuroscience 123
  • Neurology 102
Replace Xi‐Ying Jiao with:
Xi‐Ying Jiao China
Kanji Muramatsu Japan
Pelin Cengiz United States
Melanie L. McEwen United States
Allyson Alexander United States
María Eugenia Bernis Germany
Toan Quang Vu United States
Yutaro Komuro United States
Feng Gu United States
Tonya R. Gibson United States
Marie Xun Wang relative to Xi‐Ying Jiao China Xi‐Ying Jiao's profile →
Citations per field
00.5×10×14.5×
Xi‐Ying Jiao · 1×
Citations per year

Countries citing papers authored by Marie Xun Wang

Since Specialization
Citations

This map shows the geographic impact of Marie Xun Wang'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 Marie Xun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Xun Wang more than expected).

Fields of papers citing papers by Marie Xun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie Xun Wang. 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 Marie Xun Wang. The network helps show where Marie Xun Wang may publish in the future.

Co-authorship network of co-authors of Marie Xun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Xun Wang. A scholar is included among the top collaborators of Marie Xun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marie Xun Wang. Marie Xun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 20
2
Loss of perivascular aquaporin-4 localization impairs glymphatic exchange and promotes amyloid β plaque formation in micebreakdown →
144
3 21
4
Emerging roles for dynamic aquaporin-4 subcellular relocalization in CNS water homeostasisbreakdown →
186
5 42
6 160

About Marie Xun Wang

Marie Xun Wang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 6 papers that have together received 573 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (123 citations), Cellular and Molecular Neuroscience (297 citations) and Neurology (102 citations). Marie Xun Wang has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jeffrey J. Iliff, Susanna Törnroth‐Horsefield, Alex C. Conner, Andrea Halsey, Roslyn M. Bill, Mootaz M. Salman, Philip Kitchen, Jérôme Badaut, Abigail G. Schindler and Molly Braun. Their work appears in journals such as Brain, Cell stem cell and Journal of Cerebral Blood Flow & Metabolism.

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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