Alex Ford
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- Glycosylation and Glycoproteins Research
- Machine Learning in Bioinformatics
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 2
- DNA and Nucleic Acid Chemistry 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- David Baker (4 shared papers)Inna Goreshnik (2 shared papers)Lauren Carter (2 shared papers)Aaron Chevalier (1 shared paper)Tamuka M. Chidyausiku (1 shared paper)C.H. Arrowsmith (1 shared paper)Scott Houliston (1 shared paper)Vikram Khipple Mulligan (1 shared paper)
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Alex Ford
4 papers receiving 610 citations
Alex Ford's Hit Papers
Peers
Comparison fields: 5 of 74
- Molecular Biology 491
- Radiology, Nuclear Medicine and Imaging 92
- Biotechnology 30
- Materials Chemistry 133
- Structural Biology 4
Countries citing papers authored by Alex Ford
This map shows the geographic impact of Alex Ford'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 Alex Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Ford more than expected).
Fields of papers citing papers by Alex Ford
This network shows the impact of papers produced by Alex Ford. 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 Alex Ford. The network helps show where Alex Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Ford, 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 | Global analysis of protein folding using massively parallel design, synthesis, and testing Hit paper breakdown → | 2017 | 317 |
| 2 | De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificity Hit paper breakdown → | 2016 | 241 |
| 3 | 2021 | 48 | |
| 4 | 2016 | 14 |
About Alex Ford
Alex Ford is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Biotechnology and Immunology, having authored 4 papers that have together received 620 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Structure and Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Transgenic Plants and Applications (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Molecular Biology (491 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Biotechnology (30 citations), Materials Chemistry (133 citations) and Structural Biology (4 citations). Alex Ford has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include David Baker, Inna Goreshnik, Lauren Carter, Aaron Chevalier, Tamuka M. Chidyausiku, C.H. Arrowsmith, Scott Houliston, Vikram Khipple Mulligan, Alexander Lemak and Rashmi Ravichandran. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.
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.