Norman Wen

1.4k citations
5 papers · 735 indexed · 1 hit paper · h-index 5
Topics
3D Printing in Biomedical Research (5 papers)Pluripotent Stem Cells Research (2 papers)Cancer Cells and Metastasis (2 papers)

In The Last Decade

Norman Wen

5 papers receiving 716 citations

Hit Papers

Human iPSC-Derived Blood-Brain Barrier Chips Enable Disea...20192026202120232019100200300400

Peers

Norman Wen
Comparison fields: 5 of 78
  • Biomedical Engineering 507
  • Molecular Biology 233
  • Cellular and Molecular Neuroscience 181
  • Neurology 172
  • Oncology 73
Replace Nienke R. Wevers with:
Nienke R. Wevers Netherlands
Seokyoung Bang South Korea
Tongcheng Qian United States
Jackson G. DeStefano United States
Song Ih Ahn South Korea
Andrea Meinhardt Germany
Jeongmoon J. Choi United States
Marinke W. van der Helm Netherlands
Molly E. Boutin United States
Sergei Grebenyuk Ukraine
Norman Wen relative to Nienke R. Wevers Netherlands Nienke R. Wevers's profile →
Citations per field
00.5×1.5×1.9×
Nienke R. Wevers · 1×
Citations per year

Countries citing papers authored by Norman Wen

Since Specialization
Citations

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

Fields of papers citing papers by Norman Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norman 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 Norman Wen. The network helps show where Norman Wen may publish in the future.

Co-authorship network of co-authors of Norman Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Norman Wen. A scholar is included among the top collaborators of Norman Wen 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 Norman Wen. Norman Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 55
2
Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applicationsbreakdown →
438
3 37
4 125
5 80

About Norman Wen

Norman Wen is a scholar working on Neurology, Biomedical Engineering and Oncology, having authored 5 papers that have together received 735 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (5 papers), Pluripotent Stem Cells Research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Neurology (172 citations), Biomedical Engineering (507 citations) and Developmental Neuroscience (45 citations). Norman Wen has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include Samuel Sances, Gad D. Vatine, Clive N. Svendsen, Riccardo Barrile, Carolina Lucchesi, Michael J. Workman, Zhaohui Chen, Jennifer E. Van Eyk, Weston Spivia and Magdalena Kasendra. Their work appears in journals such as Biomaterials, Cell stem cell and Stem 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.

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