David Sankoff

23.8k total citations · 2 hit papers
225 papers, 11.3k citations indexed

About

David Sankoff is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, David Sankoff has authored 225 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 101 papers in Genetics and 87 papers in Plant Science. Recurrent topics in David Sankoff's work include Genomics and Phylogenetic Studies (109 papers), Chromosomal and Genetic Variations (84 papers) and Genome Rearrangement Algorithms (77 papers). David Sankoff is often cited by papers focused on Genomics and Phylogenetic Studies (109 papers), Chromosomal and Genetic Variations (84 papers) and Genome Rearrangement Algorithms (77 papers). David Sankoff collaborates with scholars based in Canada, United States and France. David Sankoff's co-authors include Joseph B. Kruskal, Robert Cedergren, Shana Poplack, Chunfang Zheng, Michael W. Gray, Joseph H. Nadeau, Henrietta Cedergren, Evan E. Eichler, Chunfang Zheng and Victor A. Albert and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David Sankoff

222 papers receiving 10.3k citations

Hit Papers

Time Warps, String Edits, and Macromolecules: The Theory ... 1983 2026 1997 2011 1983 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Sankoff Canada 48 6.4k 2.9k 2.9k 2.0k 1.4k 225 11.3k
Tandy Warnow United States 46 6.1k 1.0× 4.1k 1.4× 1.6k 0.6× 1.1k 0.5× 196 0.1× 205 9.2k
Remco Bouckaert New Zealand 27 3.1k 0.5× 3.9k 1.4× 1.2k 0.4× 535 0.3× 187 0.1× 59 9.8k
Ricard V. Solé Spain 63 3.8k 0.6× 2.5k 0.9× 1.1k 0.4× 1.3k 0.6× 64 0.0× 303 15.1k
Erez Lieberman Aiden United States 32 11.7k 1.8× 3.0k 1.0× 4.7k 1.6× 596 0.3× 61 0.0× 76 16.1k
Peter F. Stadler Germany 82 27.9k 4.4× 6.7k 2.3× 3.8k 1.3× 1.1k 0.6× 52 0.0× 668 38.4k
Paul Taylor United Kingdom 43 2.1k 0.3× 203 0.1× 299 0.1× 2.1k 1.0× 132 0.1× 143 6.3k
Kenneth J. Koehler United States 31 371 0.1× 735 0.3× 425 0.1× 365 0.2× 285 0.2× 82 3.8k
Aviva Presser Aiden United States 5 1.4k 0.2× 529 0.2× 863 0.3× 513 0.3× 61 0.0× 6 3.6k
Joshua B. Plotkin United States 54 5.3k 0.8× 3.4k 1.2× 771 0.3× 279 0.1× 49 0.0× 146 11.7k
Michael S. Waterman United States 57 13.0k 2.0× 2.5k 0.9× 1.8k 0.6× 4.7k 2.3× 34 0.0× 209 17.6k

Countries citing papers authored by David Sankoff

Since Specialization
Citations

This map shows the geographic impact of David Sankoff'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 Sankoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sankoff more than expected).

Fields of papers citing papers by David Sankoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Sankoff. 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 Sankoff. The network helps show where David Sankoff may publish in the future.

Co-authorship network of co-authors of David Sankoff

This figure shows the co-authorship network connecting the top 25 collaborators of David Sankoff. A scholar is included among the top collaborators of David Sankoff 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 Sankoff. David Sankoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jin, Lingling, et al.. (2023). From comparative gene content and gene order to ancestral contigs, chromosomes and karyotypes. Scientific Reports. 13(1). 6095–6095. 1 indexed citations
2.
Chanderbali, André S., Lingling Jin, Yue Zhang, et al.. (2022). Buxus and Tetracentron genomes help resolve eudicot genome history. Nature Communications. 13(1). 643–643. 24 indexed citations
3.
Jin, Lingling, Yue Zhang, Xiaomeng Zhang, et al.. (2021). Ancestral Flowering Plant Chromosomes and Gene Orders Based on Generalized Adjacencies and Chromosomal Gene Co-Occurrences. Journal of Computational Biology. 28(11). 1156–1179. 4 indexed citations
4.
Lafond, Manuel, et al.. (2018). Accurate prediction of orthologs in the presence of divergence after duplication. Bioinformatics. 34(13). i366–i375. 14 indexed citations
5.
Lan, Tianying, Tanya Renner, Enrique Ibarra‐Laclette, et al.. (2017). Long-read sequencing uncovers the adaptive topography of a carnivorous plant genome. Proceedings of the National Academy of Sciences. 114(22). E4435–E4441. 65 indexed citations
6.
Sankoff, David, et al.. (2012). A model for biased fractionation after whole genome duplication. BMC Genomics. 13(Suppl 1). S8–S8. 18 indexed citations
7.
Swenson, Krister M., Eric C. Chen, Nicholas D. Pattengale, & David Sankoff. (2012). The Kernel of Maximum Agreement Subtrees. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(4). 1023–1031. 1 indexed citations
8.
Muñoz, Adriana, Chunfang Zheng, Qian Zhu, et al.. (2010). Scaffold filling, contig fusion and comparative gene order inference. BMC Bioinformatics. 11(1). 304–304. 33 indexed citations
9.
Soltis, Pamela S., Victor A. Albert, Jim Leebens‐Mack, et al.. (2009). Polyploidy and angiosperm diversification. American Journal of Botany. 96(1). 336–348. 938 indexed citations breakdown →
10.
Zheng, Chunfang, Qian Zhu, & David Sankoff. (2007). Removing Noise and Ambiguities from Comparative Maps in Rearrangement Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(4). 515–522. 23 indexed citations
11.
Zheng, Chunfang, Aleksander Lenert, & David Sankoff. (2005). Reversal distance for partially ordered genomes. Computer applications in the biosciences. 21(Suppl 1). i502–i508. 12 indexed citations
12.
Sankoff, David, et al.. (2002). Chromosomal Distributions of Breakpoints in Cancer, Infertility, and Evolution. Theoretical Population Biology. 61(4). 497–501. 20 indexed citations
13.
Sankoff, David & Mathieu Blanchette. (1997). The Median Problem for Breakpoints in Comparative Genomics. 4 indexed citations
14.
Ferretti, Vincent, Joseph H. Nadeau, & David Sankoff. (1996). Original Synteny. 159–167. 21 indexed citations
15.
Sankoff, David & Joseph H. Nadeau. (1996). Conserved synteny as a measure of genomic distance. Discrete Applied Mathematics. 71(1-3). 247–257. 30 indexed citations
16.
Cedergren, Robert, et al.. (1988). The evolutionary relationships among known life forms. Journal of Molecular Evolution. 28(1-2). 98–112. 143 indexed citations
17.
18.
Cedergren, Henrietta & David Sankoff. (1974). Variable Rules: Performance as a Statistical Reflection of Competence. Language. 50(2). 333–355. 311 indexed citations
19.
Sankoff, David & Peter H. Sellers. (1973). Shortcuts, diversions, and maximal chainsin partially ordered sets. Discrete Mathematics. 4(3). 287–293. 16 indexed citations
20.
Dawson, Donald A. & David Sankoff. (1967). An inequality for probabilities. Proceedings of the American Mathematical Society. 18(3). 504–507. 106 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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