Robert A. Langan
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 2
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 2
- Advanced Biosensing Techniques and Applications 1
- Machine Learning in Bioinformatics 1
- Biophysics top 10%
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- Monoclonal and Polyclonal Antibodies Research 2
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- Force Microscopy Techniques and Applications 1
- Co-authors
- David BakerScott E. BoykenZibo ChenMarc J. LajoieFrank DiMaioJohn E. DueberTaylor H. NguyenGalen Dods
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Robert A. Langan
8 papers receiving 961 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 790
- Structural Biology 11
- Biophysics 33
- Biomaterials 64
- Radiology, Nuclear Medicine and Imaging 107
Countries citing papers authored by Robert A. Langan
This map shows the geographic impact of Robert A. Langan'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 Robert A. Langan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Langan more than expected).
Fields of papers citing papers by Robert A. Langan
This network shows the impact of papers produced by Robert A. Langan. 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 Robert A. Langan. The network helps show where Robert A. Langan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert A. Langan, 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 | De novo design of modular and tunable protein biosensorsbreakdown → | 2021 | 170 |
| 2 | 2021 | 22 | |
| 3 | Designed protein logic to target cells with precise combinations of surface antigensbreakdown → | 2020 | 144 |
| 4 | 2020 | 6 | |
| 5 | De novo design of bioactive protein switchesbreakdown → | 2019 | 185 |
| 6 | 2019 | 87 | |
| 7 | 2018 | 128 | |
| 8 | De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificitybreakdown → | 2016 | 232 |
About Robert A. Langan
Robert A. Langan is a scholar working on Structural Biology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Ecology and Oncology, having authored 8 papers that have together received 974 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Force Microscopy Techniques and Applications (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (790 citations), Structural Biology (11 citations), Biophysics (33 citations), Biomaterials (64 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Robert A. Langan has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include David Baker, Scott E. Boyken, Zibo Chen, Marc J. Lajoie, Frank DiMaio, John E. Dueber, Taylor H. Nguyen, Galen Dods, Andrew H. Ng and Hana El‐Samad. Their work appears in journals such as Nature, Science, ACS Synthetic Biology 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.