David Pellow

565 total citations
12 papers, 252 citations indexed

About

David Pellow is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, David Pellow has authored 12 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in David Pellow's work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (3 papers) and Topic Modeling (2 papers). David Pellow is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (3 papers) and Topic Modeling (2 papers). David Pellow collaborates with scholars based in Israel, United States and Austria. David Pellow's co-authors include Ron Shamir, Carl Kingsford, Yaron Orenstein, Guillaume Marçais, Maxine Eskénazi, Itzhak Mizrahi, Alvah Zorea, Ori Furman, Arik Segal and Maraike Probst and has published in prestigious journals such as Nature Communications, Bioinformatics and Genome Research.

In The Last Decade

David Pellow

11 papers receiving 251 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Pellow Israel	8	165	83	50	37	26	12	252
Michelle M. Li United States	6	154 0.9×	80 1.0×	52 1.0×	56 1.5×	29 1.1×	12	360
Gaëtan Benoit France	4	138 0.8×	50 0.6×	53 1.1×	7 0.2×	10 0.4×	7	176
Carsten Damm Germany	7	211 1.3×	74 0.9×	86 1.7×	28 0.8×	24 0.9×	16	436
Martin D. Muggli United States	5	132 0.8×	47 0.6×	23 0.5×	19 0.5×	9 0.3×	10	165
Malcolm Matalka United States	4	200 1.2×	16 0.2×	72 1.4×	38 1.0×	5 0.2×	4	327
Dongsheng Che United States	12	250 1.5×	51 0.6×	55 1.1×	12 0.3×	11 0.4×	31	366
Luiz Irber United States	5	171 1.0×	12 0.1×	74 1.5×	17 0.5×	6 0.2×	8	246
Antoine Limasset France	8	294 1.8×	100 1.2×	61 1.2×	5 0.1×	6 0.2×	14	335
Vitor C. Piro Germany	8	179 1.1×	23 0.3×	84 1.7×	5 0.1×	4 0.2×	13	218
Denise B. Catacutan Canada	3	150 0.9×	26 0.3×	19 0.4×	46 1.2×	16 0.6×	4	346

Countries citing papers authored by David Pellow

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Pellow

This figure shows the co-authorship network connecting the top 25 collaborators of David Pellow. A scholar is included among the top collaborators of David Pellow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Pellow. David Pellow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Zorea, Alvah, Sarah Moraïs, David Pellow, et al.. (2025). ProFiT-SPEci-FISH: a novel approach for linking plasmids to hosts in complex microbial communities at the single-cell level. Microbiome. 14(1). 11–11.

2.

Zorea, Alvah, David Pellow, Liron Levin, et al.. (2024). Plasmids in the human gut reveal neutral dispersal and recombination that is overpowered by inflammatory diseases. Nature Communications. 15(1). 3147–3147. 9 indexed citations

3.

Pellow, David, et al.. (2023). Efficient minimizer orders for large values of k using minimum decycling sets. Genome Research. 33(7). 1154–1161. 7 indexed citations

4.

Pellow, David, et al.. (2022). Parameterized syncmer schemes improve long-read mapping. PLoS Computational Biology. 18(10). e1010638–e1010638. 13 indexed citations

5.

Pellow, David, et al.. (2022). Data Set-Adaptive Minimizer Order Reduces Memory Usage in k -Mer Counting. Journal of Computational Biology. 29(8). 825–838. 5 indexed citations

6.

Pellow, David, Alvah Zorea, Maraike Probst, et al.. (2021). SCAPP: an algorithm for improved plasmid assembly in metagenomes. Microbiome. 9(1). 144–144. 42 indexed citations

7.

Pellow, David, et al.. (2020). PlasClass improves plasmid sequence classification. PLoS Computational Biology. 16(4). e1007781–e1007781. 70 indexed citations

8.

Marçais, Guillaume, et al.. (2017). Improving the performance of minimizers and winnowing schemes. Bioinformatics. 33(14). i110–i117. 43 indexed citations

9.

Orenstein, Yaron, David Pellow, Guillaume Marçais, Ron Shamir, & Carl Kingsford. (2017). Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing. PLoS Computational Biology. 13(10). e1005777–e1005777. 29 indexed citations

10.

Pellow, David, Darya Filippova, & Carl Kingsford. (2016). Improving Bloom Filter Performance on Sequence Data Using k -mer Bloom Filters. Journal of Computational Biology. 24(6). 547–557. 18 indexed citations

11.

Pellow, David & Maxine Eskénazi. (2014). Tracking Human Process Using Crowd Collaboration to Enrich Data. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 2. 52–53. 2 indexed citations

12.

Pellow, David & Maxine Eskénazi. (2014). An Open Corpus of Everyday Documents for Simplification Tasks. 84–93. 14 indexed citations

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.

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