SLAS TECHNOLOGY

About

The 830 papers published in SLAS TECHNOLOGY in the last decades have received a total of 14.4k indexed citations. Papers published in SLAS TECHNOLOGY usually cover Biomedical Engineering (409 papers), Molecular Biology (301 papers) and Biophysics (65 papers) specifically the topics of 3D Printing in Biomedical Research (139 papers), Innovative Microfluidic and Catalytic Techniques Innovation (126 papers) and Microfluidic and Bio-sensing Technologies (116 papers). The most active scholars publishing in SLAS TECHNOLOGY are Balaji Srinivasan, Aditya Reddy Kolli, Michael L. Shuler, James J. Hickman, Hasan Erbil Abaci, Mandy B. Esch, Amar S. Basu, Dino Di Carlo, Kin Fong Lei and Steve Tung.

In The Last Decade

SLAS TECHNOLOGY

761 papers receiving 14.1k citations

Peers

SLAS TECHNOLOGY
Comparison fields: 5 of 218
  • Biomedical Engineering 6.6k
  • Molecular Biology 4.6k
  • Electrical and Electronic Engineering 1.1k
  • Oncology 1.0k
  • Cancer Research 728
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Citations per field, relative to SLAS TECHNOLOGY
SLAS TECHNOLOGY · 1×
Citations per year, relative to SLAS TECHNOLOGY
SLAS TECHNOLOGY · 1×

Countries where authors publish in SLAS TECHNOLOGY

Since Specialization
Citations

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

Fields of papers published in SLAS TECHNOLOGY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in SLAS TECHNOLOGY. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in SLAS TECHNOLOGY.

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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2026