Lauren Carter
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 3
- Molecular Biology top 5%
- Protein Structure and Dynamics 13
- RNA and protein synthesis mechanisms 12
- Immunology top 5%
- Immunology and Allergy top 5%
- Biotechnology top 5%
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- Enzyme Structure and Function 8
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- Monoclonal and Polyclonal Antibodies Research 5
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- Bacteriophages and microbial interactions 4
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- Peptidase Inhibition and Analysis 3
Lauren Carter
49 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Infectious Diseases 625
- Molecular Biology 2.1k
- Immunology 526
- Immunology and Allergy 91
- Biotechnology 123
Countries citing papers authored by Lauren Carter
This map shows the geographic impact of Lauren Carter'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 Lauren Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Carter more than expected).
Fields of papers citing papers by Lauren Carter
This network shows the impact of papers produced by Lauren Carter. 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 Lauren Carter. The network helps show where Lauren Carter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lauren Carter, 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 | 2024 | 14 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 21 | |
| 5 | Hallucinating symmetric protein assembliesbreakdown → | 2022 | 113 |
| 6 | 2022 | 11 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 40 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 172 | |
| 11 | 2021 | 46 | |
| 12 | 2021 | 25 | |
| 13 | De novo protein design by deep network hallucinationbreakdown → | 2021 | 334 |
| 14 | 2021 | 9 | |
| 15 | 2020 | 53 | |
| 16 | De novo design of picomolar SARS-CoV-2 miniprotein inhibitorsbreakdown → | 2020 | 451 |
| 17 | 2020 | 39 | |
| 18 | 2020 | 44 | |
| 19 | 2018 | 86 | |
| 20 | Global analysis of protein folding using massively parallel design, synthesis, and testingbreakdown → | 2017 | 305 |
About Lauren Carter
Lauren Carter is a scholar working on Structural Biology, Developmental Biology and Biotechnology, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (12 papers), Enzyme Structure and Function (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Bacteriophages and microbial interactions (4 papers), COVID-19 Clinical Research Studies (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Infectious Diseases (625 citations), Molecular Biology (2.1k citations) and Immunology (526 citations). Lauren Carter has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include David Baker, Michael Croft, R W Dutton, Susan L. Swain, Inna Goreshnik, Tamuka M. Chidyausiku, Longxing Cao, Frank DiMaio, Brian Coventry and David Veesler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Nature, Science and Journal of Morphology.
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.