Christopher A. Cassa

4.1k total citations · 2 hit papers
38 papers, 1.9k citations indexed

About

Christopher A. Cassa is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Christopher A. Cassa has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 15 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Christopher A. Cassa's work include Genomics and Rare Diseases (16 papers), Genetic Associations and Epidemiology (14 papers) and Data-Driven Disease Surveillance (8 papers). Christopher A. Cassa is often cited by papers focused on Genomics and Rare Diseases (16 papers), Genetic Associations and Epidemiology (14 papers) and Data-Driven Disease Surveillance (8 papers). Christopher A. Cassa collaborates with scholars based in United States, Canada and Australia. Christopher A. Cassa's co-authors include Kenneth D. Mandl, Max W. Shen, David R. Liu, Mandana Arbab, Richard I. Sherwood, Daniel M. Jordan, David K. Gifford, Sannie J. Culbertson, Jonathan Y. Hsu and Shamil Sunyaev and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Christopher A. Cassa

38 papers receiving 1.9k 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.

Predictable and precise template-free CRISPR editing of pathogenic variants

2018 380 citations Max W. Shen, Mandana Arbab et al. Nature profile →
Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions

2020 252 citations Akl C. Fahed, Minxian Wang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher A. Cassa United States	19	882	727	239	136	134	38	1.9k
Shuhua Xu China	31	1.2k 1.4×	2.1k 2.9×	190 0.8×	347 2.6×	30 0.2×	199	3.6k
Goo Jun United States	21	1.1k 1.3×	941 1.3×	180 0.8×	276 2.0×	37 0.3×	57	2.3k
Elana J. Fertig United States	36	2.8k 3.1×	260 0.4×	201 0.8×	1.1k 7.8×	181 1.4×	162	5.0k
Yuzhou Zhang United States	35	646 0.7×	125 0.2×	272 1.1×	52 0.4×	24 0.2×	91	3.4k
Paul Higgins United States	19	618 0.7×	104 0.1×	51 0.2×	278 2.0×	72 0.5×	40	2.1k
Subhendu Chakraborty United States	26	386 0.4×	298 0.4×	95 0.4×	111 0.8×	10 0.1×	58	1.7k
Zitong Li China	22	443 0.5×	403 0.6×	91 0.4×	103 0.8×	15 0.1×	81	1.4k
Gregory Davis United States	16	279 0.3×	162 0.2×	119 0.5×	60 0.4×	98 0.7×	49	1.8k
Lynn Kuo United States	22	740 0.8×	483 0.7×	100 0.4×	47 0.3×	14 0.1×	79	2.5k
Haomin Li China	25	743 0.8×	59 0.1×	239 1.0×	151 1.1×	72 0.5×	141	1.7k

Countries citing papers authored by Christopher A. Cassa

Since Specialization

Citations

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

Fields of papers citing papers by Christopher A. Cassa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher A. Cassa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Adzhubey, Ivan, et al.. (2024). FUSE: Improving the estimation and imputation of variant impacts in functional screening. Cell Genomics. 4(10). 100667–100667. 2 indexed citations

Ryu, Jayoung, Tian Yu, Martin Jankowiak, et al.. (2024). Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification. Nature Genetics. 56(5). 925–937. 12 indexed citations

Adzhubei, Ivan, et al.. (2023). DeMAG predicts the effects of variants in clinically actionable genes by integrating structural and evolutionary epistatic features. Nature Communications. 14(1). 2230–2230. 8 indexed citations

Cassa, Christopher A., et al.. (2023). Estimating clinical risk in gene regions from population sequencing cohort data. The American Journal of Human Genetics. 110(6). 940–949. 2 indexed citations

Nazeen, Sumaiya, Daniel Lee, Huwenbo Shi, et al.. (2022). The missing link between genetic association and regulatory function. eLife. 11. 60 indexed citations

Shen, Max W., et al.. (2021). Machine learning based CRISPR gRNA design for therapeutic exon skipping. PLoS Computational Biology. 17(1). e1008605–e1008605. 7 indexed citations

Kousi, Maria, Onuralp Söylemez, Niki Mourtzi, et al.. (2020). Evidence for secondary-variant genetic burden and non-random distribution across biological modules in a recessive ciliopathy. Nature Genetics. 52(11). 1145–1150. 21 indexed citations

Fahed, Akl C., Minxian Wang, Julian R. Homburger, et al.. (2020). Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions. Nature Communications. 11(1). 3635–3635. 252 indexed citations breakdown →

Arbab, Mandana, Max W. Shen, Beverly Mok, et al.. (2020). Determinants of Base Editing Outcomes from Target Library Analysis and Machine Learning. Cell. 182(2). 463–480.e30. 185 indexed citations

10.

Weghorn, Donate, Daniel J. Balick, Christopher A. Cassa, et al.. (2019). Applicability of the Mutation–Selection Balance Model to Population Genetics of Heterozygous Protein-Truncating Variants in Humans. Molecular Biology and Evolution. 36(8). 1701–1710. 15 indexed citations

11.

Cassa, Christopher A., Daniel M. Jordan, Ivan Adzhubei, & Shamil Sunyaev. (2018). A literature review at genome scale: improving clinical variant assessment. Genetics in Medicine. 20(9). 936–941. 1 indexed citations

12.

Shen, Max W., Mandana Arbab, Jonathan Y. Hsu, et al.. (2018). Predictable and precise template-free CRISPR editing of pathogenic variants. Nature. 563(7733). 646–651. 380 indexed citations breakdown →

13.

Vuzman, Dana, et al.. (2018). novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data. Bioinformatics. 35(7). 1174–1180. 3 indexed citations

14.

Cassa, Christopher A., Donate Weghorn, Daniel J. Balick, et al.. (2017). Estimating the selective effects of heterozygous protein-truncating variants from human exome data. Nature Genetics. 49(5). 806–810. 79 indexed citations

15.

Jordan, Daniel M., Stephan Frangakis, Christelle Golzio, et al.. (2015). Identification of cis-suppression of human disease mutations by comparative genomics. Nature. 524(7564). 225–229. 67 indexed citations

16.

Balick, Daniel J., Ron Do, Christopher A. Cassa, David Reich, & Shamil Sunyaev. (2015). Dominance of Deleterious Alleles Controls the Response to a Population Bottleneck. PLoS Genetics. 11(8). e1005436–e1005436. 53 indexed citations

17.

Cassa, Christopher A., Rachel A. Miller, & Kenneth D. Mandl. (2012). A novel, privacy-preserving cryptographic approach for sharing sequencing data. Journal of the American Medical Informatics Association. 20(1). 69–76. 8 indexed citations

18.

Cassa, Christopher A., Sarah Savage, Patrick L. Taylor, et al.. (2011). Disclosing pathogenic genetic variants to research participants: Quantifying an emerging ethical responsibility. Genome Research. 22(3). 421–428. 70 indexed citations

19.

Cassa, Christopher A., Brian L. Schmidt, Isaac S. Kohane, & Kenneth D. Mandl. (2008). My sister's keeper?: genomic research and the identifiability of siblings. BMC Medical Genomics. 1(1). 32–32. 22 indexed citations

20.

Brownstein, John S., Christopher A. Cassa, Isaac S. Kohane, & Kenneth D. Mandl. (2006). An unsupervised classification method for inferring original case locations from low-resolution disease maps.. International Journal of Health Geographics. 5(1). 56–56. 34 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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