Daniel E. Shea

744 citations
4 papers · 585 · 1 hit paper · h-index 3

Impact in

    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Bio-sensing Technologies
    • Microfluidic and Capillary Electrophoresis Applications

Papers in

Daniel E. Shea

4 papers receiving 576 citations

Daniel E. Shea's Hit Papers

Microfabrication of human organs-on-chips 2013 · 566 citations
5660+4+8Years since publication100200300400500

Peers

Daniel E. Shea
Comparison fields: 5 of 92
  • Biomedical Engineering 452
  • Biophysics 24
  • Cellular and Molecular Neuroscience 67
  • Automotive Engineering 40
  • Oncology 74
Replace Jeongyun Seo with:
Jeongyun Seo United States
Helene Zirath Austria
Reyk Horland Germany
Mathias Busek Germany
Patrick M. Misun Switzerland
Hongtong Li China
Ting‐Yuan Tu Taiwan
Zhao Da United States
Jeremy J. Velazquez United States
Daniel E. Shea relative to Jeongyun Seo United States Jeongyun Seo's profile →
Citations per field
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Countries citing papers authored by Daniel E. Shea

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Shea. 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 Daniel E. Shea. The network helps show where Daniel E. Shea may publish in the future.

Co-authors

The 17 scholars most cited alongside Daniel E. Shea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel E. Shea Line = papers co-authored together Daniel E. Shea links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Daniel E. Shea

Daniel E. Shea is a scholar working on Structural Biology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Health Informatics, having authored 4 papers that have together received 585 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (1 paper), Mechanical and Optical Resonators (1 paper), 3D Printing in Biomedical Research (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Force Microscopy Techniques and Applications (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), COVID-19 diagnosis using AI (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Biomedical Engineering (452 citations), Biophysics (24 citations), Cellular and Molecular Neuroscience (67 citations), Automotive Engineering (40 citations) and Oncology (74 citations). Daniel E. Shea has collaborated with scholars based in United States and Nigeria. Frequent co-authors include Geraldine A. Hamilton, Jacob P. Fraser, Dongeun Huh, Hyun Jung Kim, Donald E. Ingber, Mohammed Abdul Sattar Khan, Anthony Bahinski, Fen Wang, David S. Ginger and Courosh Mehanian. Their work appears in journals such as Nature Protocols, IEEE Access and Lecture notes in computer science.

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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