Norman Wen

1.4k total citations · 1 hit paper
5 papers, 735 citations indexed

About

Norman Wen is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Norman Wen has authored 5 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Norman Wen's work include 3D Printing in Biomedical Research (5 papers), Pluripotent Stem Cells Research (2 papers) and Cancer Cells and Metastasis (2 papers). Norman Wen is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Pluripotent Stem Cells Research (2 papers) and Cancer Cells and Metastasis (2 papers). Norman Wen collaborates with scholars based in United States, Israel and Mexico. Norman Wen's 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 and has published in prestigious journals such as Biomaterials, Cell stem cell and Stem Cell Reports.

In The Last Decade

Norman Wen

5 papers receiving 716 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applications

2019 438 citations Gad D. Vatine, Riccardo Barrile et al. Cell stem cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Norman Wen United States	5	507	233	181	172	73	5	735
Nienke R. Wevers Netherlands	7	327 0.6×	165 0.7×	153 0.8×	167 1.0×	63 0.9×	10	552
Seokyoung Bang South Korea	14	503 1.0×	170 0.7×	289 1.6×	108 0.6×	60 0.8×	25	717
Jackson G. DeStefano United States	12	452 0.9×	274 1.2×	101 0.6×	378 2.2×	130 1.8×	12	832
Jeongmoon J. Choi United States	9	422 0.8×	149 0.6×	146 0.8×	100 0.6×	40 0.5×	14	708
Song Ih Ahn South Korea	10	375 0.7×	153 0.7×	121 0.7×	119 0.7×	53 0.7×	17	662
Molly E. Boutin United States	10	222 0.4×	161 0.7×	107 0.6×	64 0.4×	51 0.7×	15	428
Tongcheng Qian United States	15	303 0.6×	485 2.1×	125 0.7×	311 1.8×	88 1.2×	21	1.0k
Sergei Grebenyuk Ukraine	8	302 0.6×	326 1.4×	310 1.7×	50 0.3×	104 1.4×	13	743
Chengyan Chu United States	16	245 0.5×	250 1.1×	73 0.4×	232 1.3×	75 1.0×	39	888
Andrea Meinhardt Germany	13	283 0.6×	502 2.2×	116 0.6×	74 0.4×	86 1.2×	15	816

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

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5 of 5 papers shown

1.

Varone, Antonio, Lian Leng, Riccardo Barrile, et al.. (2021). A novel organ-chip system emulates three-dimensional architecture of the human epithelia and the mechanical forces acting on it. Biomaterials. 275. 120957–120957. 55 indexed citations

2.

Vatine, Gad D., Riccardo Barrile, Michael J. Workman, et al.. (2019). Human iPSC-Derived Blood-Brain Barrier Chips Enable Disease Modeling and Personalized Medicine Applications. Cell stem cell. 24(6). 995–1005.e6. 438 indexed citations breakdown →

3.

Sheyn, Dmitriy, Shiran Ben‐David, Christopher D. Hinojosa, et al.. (2019). Bone-chip system to monitor osteogenic differentiation using optical imaging. Microfluidics and Nanofluidics. 23(8). 37 indexed citations

4.

Sances, Samuel, Ritchie Ho, Gad D. Vatine, et al.. (2018). Human iPSC-Derived Endothelial Cells and Microengineered Organ-Chip Enhance Neuronal Development. Stem Cell Reports. 10(4). 1222–1236. 125 indexed citations

5.

Domanský, Karel, Josiah Sliz, Norman Wen, et al.. (2017). SEBS elastomers for fabrication of microfluidic devices with reduced drug absorption by injection molding and extrusion. Microfluidics and Nanofluidics. 21(6). 80 indexed citations

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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