David Pellow
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 6
- Advanced biosensing and bioanalysis techniques 2
- Gut microbiota and health 2
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- Algorithms and Data Compression 3
- Topic Modeling 2
- Text Readability and Simplification 1
- Co-authors
- Ron Shamir (9 shared papers)Carl Kingsford (3 shared papers)Yaron Orenstein (3 shared papers)Guillaume Marçais (2 shared papers)Maxine Eskénazi (2 shared papers)Alvah Zorea (3 shared papers)Itzhak Mizrahi (3 shared papers)Darya Filippova (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Microbiome (2 papers)Journal of Computational Biology (2 papers)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
David Pellow
11 papers receiving 251 citations
Peers
Comparison fields: 5 of 50
- Molecular Medicine 37
- Applied Microbiology and Biotechnology 7
- Artificial Intelligence 83
- Molecular Biology 165
- Pollution 26
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 20 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 | 70 | |
| 2 | 2017 | 43 | |
| 3 | 2021 | 42 | |
| 4 | 2017 | 29 | |
| 5 | 2016 | 18 | |
| 6 | 2014 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 5 | |
| 11 | 2014 | 2 | |
| 12 | 2025 | 0 |
About David Pellow
David Pellow is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Infectious Diseases and Computer Networks and Communications, having authored 12 papers that have together received 252 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Genomics and Diagnostics (2 papers), Gut microbiota and health (2 papers), Topic Modeling (2 papers), Text Readability and Simplification (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Molecular Medicine (37 citations), Applied Microbiology and Biotechnology (7 citations), Artificial Intelligence (83 citations), Molecular Biology (165 citations) and Pollution (26 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, Arik Segal and Maraike Probst. Their work appears in journals such as PLoS Computational Biology, Microbiome, Journal of Computational Biology, Nature Communications and Bioinformatics.
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.