David Bikard
- Endocrinology top 0.5%
- Vibrio bacteria research studies 12
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 7
- Aging top 1%
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 35
- RNA and protein synthesis mechanisms 18
- Genomics and Phylogenetic Studies 6
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- Bacterial Genetics and Biotechnology 26
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- Bacteriophages and microbial interactions 19
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- Insect symbiosis and bacterial influences 8
- Co-authors
- Luciano A. MarraffiniWenyan JiangFeng ZhangDavid CoxLun CuiFlorence DepardieuPoulami SamaiGregory W. Goldberg
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
David Bikard
62 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Business and International Management 429
- Endocrinology 847
- Molecular Medicine 611
- Aging 204
- Molecular Biology 6.2k
Countries citing papers authored by David Bikard
This map shows the geographic impact of David Bikard'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 David Bikard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bikard more than expected).
Fields of papers citing papers by David Bikard
This network shows the impact of papers produced by David Bikard. 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 David Bikard. The network helps show where David Bikard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Bikard, 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 7 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 50 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 82 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 83 | |
| 16 | 2018 | 201 | |
| 17 | 2018 | 153 | |
| 18 | RNA-guided editing of bacterial genomes using CRISPR-Cas systems | 2013 | 1 |
| 19 | Programmable repression and activation of bacterial gene expression using an engineered CRISPR-Cas systembreakdown → | 2013 | 866 |
| 20 | 2009 | 211 |
About David Bikard
David Bikard is a scholar working on Endocrinology, Business and International Management and Molecular Medicine, having authored 63 papers that have together received 7.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (35 papers), Bacterial Genetics and Biotechnology (26 papers), Bacteriophages and microbial interactions (19 papers), RNA and protein synthesis mechanisms (18 papers), Vibrio bacteria research studies (12 papers), Insect symbiosis and bacterial influences (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Business and International Management (429 citations), Endocrinology (847 citations) and Molecular Medicine (611 citations). David Bikard has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Luciano A. Marraffini, Wenyan Jiang, Feng Zhang, David Cox, Lun Cui, Florence Depardieu, Poulami Samai, Gregory W. Goldberg, Didier Mazel and Wenyan Jiang. Their work appears in journals such as Nucleic Acids Research, Nature Microbiology, Nature, Philosophical Transactions of the Royal Society B Biological Sciences and PLoS 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.