Daniel LaCasse
Impact in
- Water Science and Technology top 5%
- Membrane Separation Technologies
- Biomedical Engineering top 10%
- Membrane-based Ion Separation Techniques
- Microfluidic and Bio-sensing Technologies
- Nanopore and Nanochannel Transport Studies
Papers in
-
- Protein purification and stability 5
- Viral Infectious Diseases and Gene Expression in Insects 2
-
- Microfluidic and Capillary Electrophoresis Applications 2
- Microfluidic and Bio-sensing Technologies 2
- Co-authors
- Glen Bolton (4 shared papers)Ralf Kuriyel (2 shared papers)Austin W. Boesch (1 shared paper)Hari Acharya (1 shared paper)Brian D. Kelley (1 shared paper)Mary E. Krause (1 shared paper)Evgenyi Shalaev (1 shared paper)Matthew J. Lazzara (1 shared paper)
- Journals
- Biotechnology Progress (3 papers)Journal of Membrane Science (2 papers)AIChE Journal (1 paper)The AAPS Journal (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel LaCasse
7 papers receiving 600 citations
Peers
Comparison fields: 5 of 78
- Water Science and Technology 318
- Biomedical Engineering 291
- Biomaterials 49
- Molecular Biology 224
- Radiology, Nuclear Medicine and Imaging 68
Countries citing papers authored by Daniel LaCasse
This map shows the geographic impact of Daniel LaCasse'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 LaCasse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel LaCasse more than expected).
Fields of papers citing papers by Daniel LaCasse
This network shows the impact of papers produced by Daniel LaCasse. 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 LaCasse. The network helps show where Daniel LaCasse may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel LaCasse, 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 | 2005 | 348 | |
| 2 | 2019 | 123 | |
| 3 | 2010 | 57 | |
| 4 | 2016 | 32 | |
| 5 | 2005 | 30 | |
| 6 | 2010 | 23 | |
| 7 | 2015 | 4 |
About Daniel LaCasse
Daniel LaCasse is a scholar working on Molecular Biology, Biomedical Engineering, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 7 papers that have together received 617 indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Granular flow and fluidized beds (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Membrane Separation Technologies (1 paper). The work is most often cited by research in Water Science and Technology (318 citations), Biomedical Engineering (291 citations), Biomaterials (49 citations), Molecular Biology (224 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Daniel LaCasse has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Glen Bolton, Ralf Kuriyel, Austin W. Boesch, Hari Acharya, Brian D. Kelley, Mary E. Krause, Evgenyi Shalaev, Matthew J. Lazzara, Songyan Zheng and Jinjiang Li. Their work appears in journals such as Biotechnology Progress, Journal of Membrane Science, AIChE Journal and The AAPS 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.