Christopher T. Saunders

7.1k total citations · 3 hit papers
22 papers, 3.2k citations indexed

About

Christopher T. Saunders is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Christopher T. Saunders has authored 22 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in Christopher T. Saunders's work include Genomics and Phylogenetic Studies (9 papers), Genomics and Rare Diseases (5 papers) and Economic Growth and Productivity (3 papers). Christopher T. Saunders is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genomics and Rare Diseases (5 papers) and Economic Growth and Productivity (3 papers). Christopher T. Saunders collaborates with scholars based in United States, United Kingdom and Iceland. Christopher T. Saunders's co-authors include Morten Källberg, Wendy S.W. Wong, Lisa Murray, R. Keira Cheetham, Jennifer Becq, Sajani Swamy, Semyon Kruglyak, David Baker, Felix Schlesinger and Ole Schulz-Trieglaff and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Nature Methods.

In The Last Decade

Christopher T. Saunders

18 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

2015 1.0k citations Ole Schulz-Trieglaff, Richard J. Shaw et al. Bioinformatics profile →
Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs

2012 868 citations Christopher T. Saunders, Wendy S.W. Wong et al. Bioinformatics profile →
Strelka2: fast and accurate calling of germline and somatic variants

2018 682 citations Sangtae Kim, Konrad Scheffler et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher T. Saunders United States	10	1.8k	1.1k	940	563	420	22	3.2k
Javier Herrero United Kingdom	31	2.8k 1.6×	826 0.7×	757 0.8×	567 1.0×	264 0.6×	81	4.3k
Koei Chin United States	27	2.2k 1.2×	1.0k 0.9×	812 0.9×	876 1.6×	249 0.6×	65	3.4k
Bing Huey United States	17	2.2k 1.2×	1.0k 0.9×	2.1k 2.2×	1.1k 1.9×	569 1.4×	27	4.6k
Lambert C. J. Dorssers Netherlands	36	2.1k 1.2×	904 0.8×	719 0.8×	779 1.4×	131 0.3×	91	3.5k
Svitlana Tyekucheva United States	28	1.6k 0.9×	878 0.8×	560 0.6×	428 0.8×	357 0.8×	88	2.8k
Lisa M. Sapinoso United States	17	3.4k 1.9×	740 0.7×	419 0.4×	841 1.5×	303 0.7×	19	4.8k
Thomas LaFramboise United States	27	2.2k 1.2×	701 0.6×	715 0.8×	362 0.6×	176 0.4×	83	3.0k
Xinmeng Jasmine Mu United States	18	1.3k 0.7×	554 0.5×	579 0.6×	511 0.9×	246 0.6×	41	2.2k
Michael Baudis Switzerland	25	1.2k 0.6×	636 0.6×	581 0.6×	599 1.1×	622 1.5×	78	2.4k
D. Pinkel United States	18	2.5k 1.4×	925 0.8×	1.5k 1.6×	1.2k 2.1×	331 0.8×	29	4.2k

Countries citing papers authored by Christopher T. Saunders

Since Specialization

Citations

This map shows the geographic impact of Christopher T. Saunders'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 Christopher T. Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Saunders more than expected).

Fields of papers citing papers by Christopher T. Saunders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher T. Saunders. 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 Christopher T. Saunders. The network helps show where Christopher T. Saunders may publish in the future.

Co-authorship network of co-authors of Christopher T. Saunders

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

All Works

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20 of 20 papers shown

Saunders, Christopher T., James Holt, Daniel N. Baker, et al.. (2025). Sawfish: improving long-read structural variant discovery and genotyping with local haplotype modeling. Bioinformatics. 41(4). 2 indexed citations

Holt, James, Christopher T. Saunders, William J. Rowell, et al.. (2024). HiPhase: jointly phasing small, structural, and tandem repeat variants from HiFi sequencing. Bioinformatics. 40(2). 9 indexed citations

Kim, Sangtae, Konrad Scheffler, Aaron L. Halpern, et al.. (2018). Strelka2: fast and accurate calling of germline and somatic variants. Nature Methods. 15(8). 591–594. 682 indexed citations breakdown →

Saunders, Christopher T., et al.. (2016). Using Markov Switching Model for solar irradiance forecasting in remote microgrids. 9 indexed citations

Saunders, Christopher T., et al.. (2016). Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model. IEEE Transactions on Sustainable Energy. 8(3). 895–905. 71 indexed citations

Schulz-Trieglaff, Ole, Richard J. Shaw, Bret Barnes, et al.. (2015). Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics. 32(8). 1220–1222. 1020 indexed citations breakdown →

Saunders, Christopher T., Wendy S.W. Wong, Sajani Swamy, et al.. (2012). Strelka: accurate somatic small-variant calling from sequenced tumor–normal sample pairs. Bioinformatics. 28(14). 1811–1817. 868 indexed citations breakdown →

Kozanitis, Christos, Christopher T. Saunders, Semyon Kruglyak, Vineet Bafna, & Varghese George. (2011). Compressing Genomic Sequence Fragments Using S lim G ene. Journal of Computational Biology. 18(3). 401–413. 65 indexed citations

Saunders, Christopher T., et al.. (2007). Insights from Modeling Protein Evolution with Context-Dependent Mutation and Asymmetric Amino Acid Selection. Molecular Biology and Evolution. 24(12). 2632–2647. 4 indexed citations

10.

Saunders, Christopher T. & David Baker. (2004). Recapitulation of Protein Family Divergence using Flexible Backbone Protein Design. Journal of Molecular Biology. 346(2). 631–644. 62 indexed citations

11.

Saunders, Christopher T. & David Baker. (2002). Evaluation of Structural and Evolutionary Contributions to Deleterious Mutation Prediction. Journal of Molecular Biology. 322(4). 891–901. 169 indexed citations

12.

Duong, Tuan A., et al.. (1995). Analog 3-D Neuroprocessor for Fast Frame Focal Plane Image Processing. SIMULATION. 65(1). 11–25. 5 indexed citations

13.

Saunders, Christopher T.. (1985). East-West Trade and Finance in the World Economy. Palgrave Macmillan UK eBooks. 2 indexed citations

14.

Saunders, Christopher T.. (1977). East-West cooperation in business : inter-firm studies. Springer eBooks. 2 indexed citations

15.

Saunders, Christopher T., et al.. (1976). The Structure of Industry in the EEC. An International Comparison. University of Cambridge Department of Applied Economics Occasional Paper 43.. The Economic Journal. 86(341). 148–148. 1 indexed citations

16.

Saunders, Christopher T., et al.. (1964). A Programme for Growth. Volume 1: A Computable Model of Economic Growth Volume 2: A Social Accounting Matrix for 1960. Input-Output Relationships 1954-1966. The Economic Journal. 74(295). 642–642. 1 indexed citations

17.

Saunders, Christopher T., et al.. (1963). International Comparisons of Productivity Growth in the 1950's. Journal of the Royal Statistical Society Series A (General). 126(2). 227–227. 1 indexed citations

18.

Shiskin, Julius & Christopher T. Saunders. (1963). Business Cycle Indicators: The Known and the Unknown. Revue de l Institut International de Statistique / Review of the International Statistical Institute. 31(3). 361–361. 1 indexed citations

19.

Saunders, Christopher T.. (1952). Consumption of Raw Materials in the United Kingdom: 1851-1950. Journal of the Royal Statistical Society Series A (General). 115(3). 313–313.

20.

Saunders, Christopher T. & F. W. Paish. (1951). The Post-War Financial Problem and Other Essays.. Journal of the Royal Statistical Society Series A (General). 114(3). 427–427. 2 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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