David Pellow
Impact in
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- Antibiotic Resistance in Bacteria
Papers in
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- Algorithms and Data Compression 3
- Topic Modeling 2
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- Genomics and Phylogenetic Studies 5
- Advanced biosensing and bioanalysis techniques 3
- Gene expression and cancer classification 1
- Co-authors
- Ron Shamir (9 shared papers)Carl Kingsford (5 shared papers)Yaron Orenstein (3 shared papers)Guillaume Marçais (3 shared papers)Maxine Eskénazi (2 shared papers)Alvah Zorea (3 shared papers)Itzhak Mizrahi (3 shared papers)Darya Filippova (2 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Microbiome (2 papers)Journal of Computational Biology (2 papers)Bioinformatics (1 paper)Nature Communications (1 paper)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
David Pellow
13 papers receiving 296 citations
Peers
Comparison fields: 5 of 58
- Molecular Medicine 34
- Applied Microbiology and Biotechnology 7
- Pollution 28
- Molecular Biology 137
- Artificial Intelligence 70
Countries citing papers authored by David Pellow
This map shows the geographic impact of David Pellow'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 Pellow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pellow more than expected).
Fields of papers citing papers by David Pellow
This network shows the impact of papers produced by David Pellow. 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 Pellow. The network helps show where David Pellow may publish in the future.
Co-authors
The 18 scholars most cited alongside David Pellow, 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 | 84 | |
| 2 | 2021 | 46 | |
| 3 | 2017 | 44 | |
| 4 | 2017 | 34 | |
| 5 | 2016 | 20 | |
| 6 | 2016 | 18 | |
| 7 | 2014 | 18 | |
| 8 | 2024 | 15 | |
| 9 | 2022 | 11 | |
| 10 | 2016 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2014 | 2 | |
| 13 | 2025 | 1 |
About David Pellow
David Pellow is a scholar working on Artificial Intelligence, Molecular Biology, Cancer Research, Renewable Energy, Sustainability and the Environment and Molecular Medicine, having authored 13 papers that have together received 301 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Advanced Photocatalysis Techniques (2 papers), Caching and Content Delivery (2 papers), Topic Modeling (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Medicine (34 citations), Applied Microbiology and Biotechnology (7 citations), Pollution (28 citations), Molecular Biology (137 citations) and Artificial Intelligence (70 citations). David Pellow has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Ron Shamir, Carl Kingsford, Yaron Orenstein, Guillaume Marçais, Maxine Eskénazi, Alvah Zorea, Itzhak Mizrahi, Darya Filippova, Maraike Probst and Ori Furman. Their work appears in journals such as PLoS Computational Biology, Microbiome, Journal of Computational Biology, Bioinformatics and Nature Communications.
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.