Autumn Arnold
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Antibiotic Use and Resistance
Papers in
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- Computational Drug Discovery Methods 3
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- Genomics and Chromatin Dynamics 1
- Epigenetics and DNA Methylation 1
- Hedgehog Signaling Pathway Studies 1
- Co-authors
- Denise B. Catacutan (4 shared papers)J Stokes (3 shared papers)Gary Liu (2 shared papers)Kyle Swanson (2 shared papers)James Zou (2 shared papers)Jonathan Stokes (2 shared papers)B.D. Brown (1 shared paper)Marc Remke (1 shared paper)
- Journals
- Molecular Systems Biology (1 paper)Nature Chemical Biology (1 paper)Nature Machine Intelligence (1 paper)Nature Microbiology (1 paper)Expert Opinion on Drug Discovery (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Autumn Arnold
6 papers receiving 249 citations
Autumn Arnold's Hit Papers
Peers
Comparison fields: 5 of 76
- Health Informatics 12
- Applied Microbiology and Biotechnology 10
- Computational Theory and Mathematics 67
- Molecular Medicine 11
- Biophysics 8
Countries citing papers authored by Autumn Arnold
This map shows the geographic impact of Autumn Arnold'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 Autumn Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Autumn Arnold more than expected).
Fields of papers citing papers by Autumn Arnold
This network shows the impact of papers produced by Autumn Arnold. 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 Autumn Arnold. The network helps show where Autumn Arnold may publish in the future.
Co-authors
The 24 scholars most cited alongside Autumn Arnold, 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 | Generative AI for designing and validating easily synthesizable and structurally novel antibiotics Hit paper breakdown → | 2024 | 97 |
| 2 | Machine learning in preclinical drug discovery Hit paper breakdown → | 2024 | 96 |
| 3 | 2025 | 21 | |
| 4 | 2016 | 19 | |
| 5 | 2023 | 16 | |
| 6 | 2025 | 3 | |
| 7 | 2026 | 0 |
About Autumn Arnold
Autumn Arnold is a scholar working on Computational Theory and Mathematics, Molecular Biology, Health Informatics, Clinical Biochemistry and Artificial Intelligence, having authored 7 papers that have together received 252 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Genomics and Chromatin Dynamics (1 paper), Epigenetics and DNA Methylation (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Machine Learning in Materials Science (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Health Informatics (12 citations), Applied Microbiology and Biotechnology (10 citations), Computational Theory and Mathematics (67 citations), Molecular Medicine (11 citations) and Biophysics (8 citations). Autumn Arnold has collaborated with scholars based in Canada and United States. Frequent co-authors include Denise B. Catacutan, J Stokes, Gary Liu, Kyle Swanson, James Zou, Jonathan Stokes, B.D. Brown, Marc Remke, Christina Maier and Anshu Malhotra. Their work appears in journals such as Molecular Systems Biology, Nature Chemical Biology, Nature Machine Intelligence, Nature Microbiology and Expert Opinion on Drug Discovery.
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.