David Moi
Impact in
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA modifications and cancer
Papers in
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- Genomics and Phylogenetic Studies 6
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 3
- Genetics 4
- Insect and Arachnid Ecology and Behavior 2
- Genetic diversity and population structure 1
- Co-authors
- Christophe Dessimoz (9 shared papers)Natasha Glover (4 shared papers)Yannis Nevers (4 shared papers)Adrian Altenhoff (3 shared papers)Alex Warwick Vesztrocy (3 shared papers)Tarcisio Mendes de Farias (1 shared paper)Victor Rossier (1 shared paper)Kimberly J. Gilbert (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature Methods (1 paper)Current Biology (1 paper)PLoS Computational Biology (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUruguay
In The Last Decade
David Moi
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 70
- Aging 6
- Molecular Biology 176
- Genetics 59
- Cellular and Molecular Neuroscience 28
- Sensory Systems 6
Countries citing papers authored by David Moi
This map shows the geographic impact of David Moi'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 David Moi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Moi more than expected).
Fields of papers citing papers by David Moi
This network shows the impact of papers produced by David Moi. 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 David Moi. The network helps show where David Moi may publish in the future.
Co-authors
The 25 scholars most cited alongside David Moi, 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 | 2020 | 122 | |
| 2 | 2023 | 41 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2023 | 10 | |
| 8 | 2025 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2025 | 8 |
About David Moi
David Moi is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 10 papers that have together received 283 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers), Neurobiology and Insect Physiology Research (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genetic diversity and population structure (1 paper), Parasites and Host Interactions (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Aging (6 citations), Molecular Biology (176 citations), Genetics (59 citations), Cellular and Molecular Neuroscience (28 citations) and Sensory Systems (6 citations). David Moi has collaborated with scholars based in Switzerland, United Kingdom and Uruguay. Frequent co-authors include Christophe Dessimoz, Natasha Glover, Yannis Nevers, Adrian Altenhoff, Alex Warwick Vesztrocy, Tarcisio Mendes de Farias, Victor Rossier, Kimberly J. Gilbert, Richard Benton and Pablo S. Aguilar. Their work appears in journals such as Nucleic Acids Research, Nature Methods, Current Biology, PLoS Computational Biology and Nature Structural & Molecular Biology.
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.