Eric LeProust
Impact in
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- Advanced biosensing and bioanalysis techniques
- Gene expression and cancer classification
- Advanced Biosensing Techniques and Applications
- Molecular Biology Techniques and Applications
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Gene expression and cancer classification 5
- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 2
- DNA and Nucleic Acid Chemistry 2
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- Biosensors and Analytical Detection 2
- Co-authors
- K. Kilian (2 shared papers)Ernest M. Coffey (2 shared papers)Jean‐Philippe Pellois (3 shared papers)Xiaolian Gao (4 shared papers)George Tokiwa (1 shared paper)Michael R. Meyer (1 shared paper)Roland Stoughton (1 shared paper)Hua Zhang (2 shared papers)
- Journals
- Nature Methods (1 paper)Journal of the American Chemical Society (1 paper)Nature Genetics (1 paper)Analytical Chemistry (1 paper)Sensors and Actuators A Physical (1 paper)
- Partner nations
- United StatesBulgaria
In The Last Decade
Eric LeProust
8 papers receiving 385 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 347
- Radiology, Nuclear Medicine and Imaging 40
- Genetics 47
- Cancer Research 22
- Biomedical Engineering 58
Countries citing papers authored by Eric LeProust
This map shows the geographic impact of Eric LeProust'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 Eric LeProust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric LeProust more than expected).
Fields of papers citing papers by Eric LeProust
This network shows the impact of papers produced by Eric LeProust. 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 Eric LeProust. The network helps show where Eric LeProust may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric LeProust, 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 | 2003 | 166 | |
| 2 | 2004 | 87 | |
| 3 | 2000 | 53 | |
| 4 | 1998 | 38 | |
| 5 | 2001 | 36 | |
| 6 | 2004 | 15 | |
| 7 | 2001 | 8 | |
| 8 | 1999 | 2 |
About Eric LeProust
Eric LeProust is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Cellular and Molecular Neuroscience and Biophysics, having authored 8 papers that have together received 405 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA Interference and Gene Delivery (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Biosensors and Analytical Detection (2 papers), Cell Image Analysis Techniques (1 paper), GABA and Rice Research (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Molecular Biology (347 citations), Radiology, Nuclear Medicine and Imaging (40 citations), Genetics (47 citations), Cancer Research (22 citations) and Biomedical Engineering (58 citations). Eric LeProust has collaborated with scholars based in United States and Bulgaria. Frequent co-authors include K. Kilian, Ernest M. Coffey, Jean‐Philippe Pellois, Xiaolian Gao, George Tokiwa, Michael R. Meyer, Roland Stoughton, Hua Zhang, Hongyue Dai and Thomas L. Fare. Their work appears in journals such as Nature Methods, Journal of the American Chemical Society, Nature Genetics, Analytical Chemistry and Sensors and Actuators A Physical.
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.