Taylor Applebaum
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Health Informatics top 10%
Papers in
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- Coding theory and cryptography 1
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- Finite Group Theory Research 1
- Co-authors
- Lai Hong Wong (3 shared papers)John Jumper (3 shared papers)Rosalia G. Schneider (3 shared papers)Žiga Avsec (3 shared papers)Tobias Sargeant (3 shared papers)Alexander Pritzel (3 shared papers)Andrew Senior (3 shared papers)Pushmeet Kohli (3 shared papers)
- Journals
- Algebra & Number Theory (1 paper)Science (1 paper)Applied and Environmental Microbiology (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Taylor Applebaum
5 papers receiving 714 citations
Taylor Applebaum's Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 280
- Health Informatics 12
- Molecular Biology 426
- Cancer Research 69
- Aging 6
Countries citing papers authored by Taylor Applebaum
This map shows the geographic impact of Taylor Applebaum'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 Taylor Applebaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Applebaum more than expected).
Fields of papers citing papers by Taylor Applebaum
This network shows the impact of papers produced by Taylor Applebaum. 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 Taylor Applebaum. The network helps show where Taylor Applebaum may publish in the future.
Co-authors
The 23 scholars most cited alongside Taylor Applebaum, 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 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 692 |
| 2 | 2015 | 18 | |
| 3 | 2018 | 12 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 |
About Taylor Applebaum
Taylor Applebaum is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics, Signal Processing, Public Health, Environmental and Occupational Health and Genetics, having authored 6 papers that have together received 726 indexed citations. Recurring topics across this work include Finite Group Theory Research (1 paper), Insect and Pesticide Research (1 paper), Speech and Audio Processing (1 paper), Genetic Associations and Epidemiology (1 paper), Genomics and Rare Diseases (1 paper), Coding theory and cryptography (1 paper), Insect symbiosis and bacterial influences (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Genetics (280 citations), Health Informatics (12 citations), Molecular Biology (426 citations), Cancer Research (69 citations) and Aging (6 citations). Taylor Applebaum has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Lai Hong Wong, John Jumper, Rosalia G. Schneider, Žiga Avsec, Tobias Sargeant, Alexander Pritzel, Andrew Senior, Pushmeet Kohli, Guido Novati and Demis Hassabis. Their work appears in journals such as Algebra & Number Theory, Science, Applied and Environmental Microbiology and Zenodo (CERN European Organization for Nuclear Research).
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.