Van N. Truskett

569 total citations
10 papers, 421 citations indexed

About

Van N. Truskett is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Van N. Truskett has authored 10 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Electrical and Electronic Engineering and 2 papers in Computational Mechanics. Recurrent topics in Van N. Truskett's work include Nanofabrication and Lithography Techniques (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Advancements in Photolithography Techniques (4 papers). Van N. Truskett is often cited by papers focused on Nanofabrication and Lithography Techniques (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Advancements in Photolithography Techniques (4 papers). Van N. Truskett collaborates with scholars based in United States. Van N. Truskett's co-authors include Michael P. C. Watts, Matthew C. Traub, Weijun Liu, Zhengmao Ye, S. V. Sreenivasan, Dwayne LaBrake, Xiaoming Lu, N. E. Schumaker, C. Grant Willson and Douglas J. Resnick and has published in prestigious journals such as Trends in biotechnology, Annual Review of Chemical and Biomolecular Engineering and Intensive Care Medicine Experimental.

In The Last Decade

Van N. Truskett

10 papers receiving 404 citations

Peers

Van N. Truskett

BE

EEE

AMPO

MC

MB

Ejaz Huq United Kingdom

Bong Kuk Lee South Korea

Pascale Maury Netherlands

Stuart Williams United States

Elisabeth Pavlovic Sweden

John C. Selby United States

Alicia Johansson Denmark

Václav Prajzler Czechia

Rongsheng Lin United States

Sara Morgenthaler Switzerland

Ejaz Huq United Kingdom

Van N. Truskett

281 ×0.8

BE

218 ×1.2

EEE

83 ×1.0

AMPO

44 ×0.7

MC

91 ×1.9

MB

Citations per year, relative to Van N. Truskett Van N. Truskett (= 1×) peers Ejaz Huq

Countries citing papers authored by Van N. Truskett

Since Specialization

Citations

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

Fields of papers citing papers by Van N. Truskett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van N. Truskett. 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 Van N. Truskett. The network helps show where Van N. Truskett may publish in the future.

Co-authorship network of co-authors of Van N. Truskett

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

All Works

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10 of 10 papers shown

1.

Gruslova, Aleksandra, Nitesh Katta, Jonathan W. Valvano, et al.. (2021). Data automated bag breathing unit for COVID-19 ventilator shortages. Intensive Care Medicine Experimental. 9(1). 54–54. 1 indexed citations

2.

Traub, Matthew C., et al.. (2016). Advances in Nanoimprint Lithography. Annual Review of Chemical and Biomolecular Engineering. 7(1). 583–604. 167 indexed citations

3.

Zhang, Wei, Weijun Liu, Matthew C. Traub, et al.. (2016). High throughput Jet and Flash Imprint Lithography for semiconductor memory applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9777. 97770A–97770A. 16 indexed citations

4.

Traub, Matthew C., et al.. (2014). High-Speed, Low-Volume Inkjet and its Role in Jet and Flash™ Imprint Lithography. Technical programs and proceedings. 30(1). 408–412. 1 indexed citations

5.

Traub, Matthew C., et al.. (2014). High-Speed, Low-Volume Inkjet and its Role in Jet and Flash Imprint Lithography. 408–412. 2 indexed citations

6.

Ye, Zhengmao, Kang Luo, Xiaoming Lu, et al.. (2014). High-throughput jet and flash imprint lithography for advanced semiconductor memory. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9049. 904910–904910. 12 indexed citations

7.

Ye, Zhengmao, Kang Luo, Xiaoming Lu, et al.. (2013). Defect reduction for semiconductor memory applications using jet and flash imprint lithography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8680. 86800C–86800C. 23 indexed citations

8.

Truskett, Van N. & Michael P. C. Watts. (2006). Trends in imprint lithography for biological applications. Trends in biotechnology. 24(7). 312–317. 173 indexed citations

9.

Truskett, Van N., et al.. (2004). Development of imprint materials for the Step and Flash Imprint Lithography process. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5374. 232–232. 24 indexed citations

10.

Nellis, Gregory, et al.. (2004). Predicting the fluid behavior during the dispensing process for step-and-flash imprint lithography. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 22(6). 3279–3282. 2 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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