Eva Lai
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- 3D Printing in Biomedical Research
Papers in
-
- Microfluidic and Bio-sensing Technologies 6
- 3D Printing in Biomedical Research 5
- Microfluidic and Capillary Electrophoresis Applications 3
- Biomedical and Engineering Education 2
- Surgery 4
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- John H. van Zanten (3 shared papers)Yi Wang (6 shared papers)Kapil Pant (6 shared papers)Balabhaskar Prabhakarpandian (6 shared papers)Charles J. Garson (5 shared papers)Jenna M. Rosano (5 shared papers)Hongjun Song (4 shared papers)Luis M. Alvarez (5 shared papers)
- Journals
- Lab on a Chip (3 papers)Analytical Methods (2 papers)Telemedicine Journal and e-Health (1 paper)Microfluidics and Nanofluidics (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Eva Lai
15 papers receiving 577 citations
Peers
Comparison fields: 5 of 95
- Hepatology 59
- Biomedical Engineering 352
- Physical and Theoretical Chemistry 39
- Molecular Biology 165
- Electrical and Electronic Engineering 133
Countries citing papers authored by Eva Lai
This map shows the geographic impact of Eva Lai'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 Eva Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Lai more than expected).
Fields of papers citing papers by Eva Lai
This network shows the impact of papers produced by Eva Lai. 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 Eva Lai. The network helps show where Eva Lai may publish in the future.
Co-authors
The 22 scholars most cited alongside Eva Lai, 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 | 2015 | 156 | |
| 2 | 2013 | 110 | |
| 3 | 1995 | 72 | |
| 4 | 2001 | 71 | |
| 5 | 2013 | 32 | |
| 6 | 2002 | 30 | |
| 7 | 2016 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2002 | 24 | |
| 10 | 2017 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2009 | 5 | |
| 13 | 2012 | 3 | |
| 14 | Regenerative Medicine at Early Echelons: Changing Medical Care & Outcomes | 2010 | 1 |
| 15 | 2017 | 1 |
About Eva Lai
Eva Lai is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Electrical and Electronic Engineering and Genetics, having authored 15 papers that have together received 589 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (6 papers), 3D Printing in Biomedical Research (5 papers), RNA Interference and Gene Delivery (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Biomedical and Engineering Education (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hepatology (59 citations), Biomedical Engineering (352 citations), Physical and Theoretical Chemistry (39 citations), Molecular Biology (165 citations) and Electrical and Electronic Engineering (133 citations). Eva Lai has collaborated with scholars based in United States. Frequent co-authors include John H. van Zanten, Yi Wang, Kapil Pant, Balabhaskar Prabhakarpandian, Charles J. Garson, Jenna M. Rosano, Hongjun Song, Luis M. Alvarez, George J. Klarmann and Stewart Sell. Their work appears in journals such as Lab on a Chip, Analytical Methods, Telemedicine Journal and e-Health, Microfluidics and Nanofluidics and Biophysical Journal.
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.