Amy N. Hellman
Impact in
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Laser-Ablation Synthesis of Nanoparticles
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- Ultrasound and Cavitation Phenomena
Papers in
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- Laser Material Processing Techniques 4
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- 3D Printing in Biomedical Research 3
- Innovative Microfluidic and Catalytic Techniques Innovation 1
- Nonlinear Optical Materials Studies 1
- Laser-Ablation Synthesis of Nanoparticles 1
- Co-authors
- Vasan Venugopalan (5 shared papers)Kaustubh R. Rau (3 shared papers)Pedro Antonio Quinto-Su (1 shared paper)Nancy L. Allbritton (1 shared paper)James F. Palmer (1 shared paper)Kenneth Scott Phillips (1 shared paper)Behrad Vahidi (1 shared paper)Hyung Joon Kim (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Lab on a Chip (1 paper)Journal of Biophotonics (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Amy N. Hellman
5 papers receiving 420 citations
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 329
- Materials Chemistry 126
- Computational Mechanics 57
- Cellular and Molecular Neuroscience 39
- Cell Biology 31
Countries citing papers authored by Amy N. Hellman
This map shows the geographic impact of Amy N. Hellman'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 Amy N. Hellman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy N. Hellman more than expected).
Fields of papers citing papers by Amy N. Hellman
This network shows the impact of papers produced by Amy N. Hellman. 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 Amy N. Hellman. The network helps show where Amy N. Hellman may publish in the future.
Co-authors
The 10 scholars most cited alongside Amy N. Hellman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 156 | |
| 2 | 2007 | 141 | |
| 3 | 2007 | 59 | |
| 4 | 2010 | 47 | |
| 5 | 2013 | 22 |
About Amy N. Hellman
Amy N. Hellman is a scholar working on Computational Mechanics, Biomedical Engineering, Biophysics, Materials Chemistry and Electrical and Electronic Engineering, having authored 5 papers that have together received 425 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (4 papers), 3D Printing in Biomedical Research (3 papers), Ultrasound and Cavitation Phenomena (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Nonlinear Optical Materials Studies (1 paper), Spectroscopy Techniques in Biomedical and Chemical Research (1 paper), Laser-Ablation Synthesis of Nanoparticles (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Biomedical Engineering (329 citations), Materials Chemistry (126 citations), Computational Mechanics (57 citations), Cellular and Molecular Neuroscience (39 citations) and Cell Biology (31 citations). Amy N. Hellman has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Vasan Venugopalan, Kaustubh R. Rau, Pedro Antonio Quinto-Su, Nancy L. Allbritton, James F. Palmer, Kenneth Scott Phillips, Behrad Vahidi, Hyung Joon Kim, Oswald Steward and Noo Li Jeon. Their work appears in journals such as Biophysical Journal, Lab on a Chip, Journal of Biophotonics and Analytical Chemistry.
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.