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
Papers in
-
- Laser Material Processing Techniques 4
-
- 3D Printing in Biomedical Research 3
- Innovative Microfluidic and Catalytic Techniques Innovation 1
- Nonlinear Optical Materials Studies 1
- Laser-Ablation Synthesis of Nanoparticles 1
- Microfluidic and Capillary Electrophoresis Applications 1
- Co-authors
- Vasan Venugopalan (5 shared papers)Kaustubh R. Rau (3 shared papers)Pedro A. Quinto‐Su (1 shared paper)James F. Palmer (1 shared paper)K. Scott Phillips (1 shared paper)Nancy L. Allbritton (1 shared paper)Noo Li Jeon (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 396 citations
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 312
- Computational Mechanics 54
- Materials Chemistry 113
- Cellular and Molecular Neuroscience 41
- Biophysics 11
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 | 147 | |
| 2 | 2007 | 136 | |
| 3 | 2007 | 53 | |
| 4 | 2010 | 46 | |
| 5 | 2013 | 20 |
About Amy N. Hellman
Amy N. Hellman is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Biophysics and Electrical and Electronic Engineering, having authored 5 papers that have together received 402 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), Laser-Ablation Synthesis of Nanoparticles (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Biomedical Engineering (312 citations), Computational Mechanics (54 citations), Materials Chemistry (113 citations), Cellular and Molecular Neuroscience (41 citations) and Biophysics (11 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 A. Quinto‐Su, James F. Palmer, K. Scott Phillips, Nancy L. Allbritton, Noo Li Jeon, Hyung Joon Kim, Behrad Vahidi and Oswald Steward. 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.