Eric Boyer
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Speech and Audio Processing 4
- Direction-of-Arrival Estimation Techniques 4
- Co-authors
- Meena Subramaniam (1 shared paper)Steven Lin (1 shared paper)Rachel E. Gate (1 shared paper)Alexander Marson (1 shared paper)Dimitre R. Simeonov (1 shared paper)Chun Jimmie Ye (1 shared paper)Kathrin Schumann (1 shared paper)Jeffrey A. Bluestone (1 shared paper)
- Journals
- Nature (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)Journal of Virology (1 paper)Signal Processing (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Eric Boyer
12 papers receiving 1.5k citations
Eric Boyer's Hit Papers
Peers
Comparison fields: 5 of 95
- Business and International Management 64
- Molecular Medicine 147
- Virology 89
- Immunology 373
- Oncology 412
Countries citing papers authored by Eric Boyer
This map shows the geographic impact of Eric Boyer'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 Boyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Boyer more than expected).
Fields of papers citing papers by Eric Boyer
This network shows the impact of papers produced by Eric Boyer. 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 Boyer. The network helps show where Eric Boyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Boyer, 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 | Generation of knock-in primary human T cells using Cas9 ribonucleoproteins Hit paper breakdown → | 2015 | 598 |
| 2 | VISTA is an acidic pH-selective ligand for PSGL-1 Hit paper breakdown → | 2019 | 323 |
| 3 | 2017 | 217 | |
| 4 | 1999 | 192 | |
| 5 | 2015 | 103 | |
| 6 | 1998 | 76 | |
| 7 | 2007 | 26 | |
| 8 | 2007 | 8 | |
| 9 | 2022 | 3 | |
| 10 | 2006 | 2 | |
| 11 | 2004 | 1 | |
| 12 | De-MO : Designing Action-Sound Relationships with the MO Interfaces | 2013 | 1 |
About Eric Boyer
Eric Boyer is a scholar working on Signal Processing, Immunology, Virology, Molecular Medicine and Aerospace Engineering, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Direction-of-Arrival Estimation Techniques (4 papers), CRISPR and Genetic Engineering (2 papers), RNA Interference and Gene Delivery (1 paper), HIV/AIDS Research and Interventions (1 paper), CAR-T cell therapy research (1 paper), Seismic Waves and Analysis (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Business and International Management (64 citations), Molecular Medicine (147 citations), Virology (89 citations), Immunology (373 citations) and Oncology (412 citations). Eric Boyer has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Meena Subramaniam, Steven Lin, Rachel E. Gate, Alexander Marson, Dimitre R. Simeonov, Chun Jimmie Ye, Kathrin Schumann, Jeffrey A. Bluestone, Jennifer A. Doudna and Mark S. Warren. Their work appears in journals such as Nature, Antimicrobial Agents and Chemotherapy, Journal of Virology, Signal Processing and Proceedings of the National Academy of Sciences.
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.