Eric LeProust
Impact in
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- Advanced biosensing and bioanalysis techniques
- Gene expression and cancer classification
- Advanced Biosensing Techniques and Applications
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
- RNA Interference and Gene Delivery
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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
- DNA and Nucleic Acid Chemistry 2
- RNA Interference and Gene Delivery 2
- Mitochondrial Function and Pathology 1
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- Biosensors and Analytical Detection 2
- Co-authors
- Ernest M. Coffey (2 shared papers)K. Kilian (2 shared papers)Xiaolian Gao (4 shared papers)Jean‐Philippe Pellois (3 shared papers)Yanqun Wang (1 shared paper)Michael R. Meyer (1 shared paper)Matthew J. Marton (1 shared paper)Hua Zhang (2 shared papers)
- Journals
- Nature Methods (1 paper)Analytical Chemistry (1 paper)Nucleic Acids Research (1 paper)Journal of the American Chemical Society (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesBulgaria
In The Last Decade
Eric LeProust
8 papers receiving 389 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 342
- Radiology, Nuclear Medicine and Imaging 39
- Genetics 44
- 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 | 167 | |
| 2 | 2004 | 88 | |
| 3 | 2000 | 53 | |
| 4 | 1998 | 39 | |
| 5 | 2001 | 36 | |
| 6 | 2004 | 16 | |
| 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 409 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA Interference and Gene Delivery (2 papers), Biosensors and Analytical Detection (2 papers), Click Chemistry and Applications (1 paper), Mitochondrial Function and Pathology (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Molecular Biology (342 citations), Radiology, Nuclear Medicine and Imaging (39 citations), Genetics (44 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 Ernest M. Coffey, K. Kilian, Xiaolian Gao, Jean‐Philippe Pellois, Yanqun Wang, Michael R. Meyer, Matthew J. Marton, Hua Zhang, Hongyue Dai and Yudong D. He. Their work appears in journals such as Nature Methods, Analytical Chemistry, Nucleic Acids Research, Journal of the American Chemical Society and Nature Genetics.
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.