Carl Kashuk

14.1k total citations
12 papers, 1.0k citations indexed

About

Carl Kashuk is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Carl Kashuk has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Surgery. Recurrent topics in Carl Kashuk's work include Congenital gastrointestinal and neural anomalies (5 papers), Digestive system and related health (4 papers) and Chromosomal and Genetic Variations (2 papers). Carl Kashuk is often cited by papers focused on Congenital gastrointestinal and neural anomalies (5 papers), Digestive system and related health (4 papers) and Chromosomal and Genetic Variations (2 papers). Carl Kashuk collaborates with scholars based in United States, Switzerland and Slovenia. Carl Kashuk's co-authors include Aravinda Chakravarti, Minerva M. Carrasquillo, Erik G. Puffenberger, Andrew S. McCallion, Matthew E. Portnoy, David J. Cutler, Eric D. Green, Elizabeth A. Grice, Nassim Nouri and Andrew S. McCallion and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Carl Kashuk

12 papers receiving 1.0k citations

Peers

Carl Kashuk
Minna Kujala Finland
M Schmid Germany
Timo Kehl Germany
Mark S. Hill United Kingdom
Kate L. Tsai United States
Claudia M. Rohr United States
Kristin Noonan United States
Minna Kujala Finland
Carl Kashuk
Citations per year, relative to Carl Kashuk Carl Kashuk (= 1×) peers Minna Kujala

Countries citing papers authored by Carl Kashuk

Since Specialization
Citations

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

Fields of papers citing papers by Carl Kashuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Kashuk

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

All Works

12 of 12 papers shown
1.
Chen, Song, Meijie Chen, Carl Kashuk, et al.. (2023). Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variability. Physics in Medicine and Biology. 68(17). 175031–175031. 8 indexed citations
2.
Gherman, Adrian, Peter E. Chen, Tanya M. Teslovich, et al.. (2007). Population Bottlenecks as a Potential Major Shaping Force of Human Genome Architecture. PLoS Genetics. 3(7). e119–e119. 48 indexed citations
3.
Amiel, Jeanne, Guillermo Antiñolo, Salud Borrego, et al.. (2006). Higher prevalence of Hirschsprung disease in China explained by a common RET mutation. 2 indexed citations
4.
Emison, E, Andrew S. McCallion, Carl Kashuk, et al.. (2005). A common sex-dependent mutation in a RET enhancer underlies Hirschsprung disease risk. Nature. 434(7035). 857–863. 337 indexed citations
5.
Gherman, Adrian, Peter E. Chen, Tanya M. Teslovich, et al.. (2005). Population Bottlenecks as a Potential Major Shaping Force of Human Genome Architecture. PLoS Genetics. preprint(2007). e119–e119. 1 indexed citations
6.
Kashuk, Carl, Eric A. Stone, Elizabeth A. Grice, et al.. (2005). Phenotype–genotype correlation in Hirschsprung disease is illuminated by comparative analysis of the RET protein sequence. Proceedings of the National Academy of Sciences. 102(25). 8949–8954. 32 indexed citations
7.
McCallion, Andrew S., E Emison, Carl Kashuk, et al.. (2003). Genomic Variation in Multigenic Traits: Hirschsprung Disease. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 373–382. 24 indexed citations
8.
Kashuk, Carl, Sanghamitra Sengupta, Evan E. Eichler, & Aravinda Chakravarti. (2002). viewGene: A Graphical Tool for Polymorphism Visualization and Characterization. Genome Research. 12(2). 333–338. 13 indexed citations
9.
Carrasquillo, Minerva M., Andrew S. McCallion, Erik G. Puffenberger, et al.. (2002). Genome-wide association study and mouse model identify interaction between RET and EDNRB pathways in Hirschsprung disease. Nature Genetics. 32(2). 237–244. 221 indexed citations
10.
Cutler, David J., Michael E. Zwick, Minerva M. Carrasquillo, et al.. (2001). High-Throughput Variation Detection and Genotyping Using Microarrays. Genome Research. 11(11). 1913–1925. 218 indexed citations
11.
Lynn, Audrey, Carl Kashuk, Michael B. Petersen, et al.. (2000). Patterns of Meiotic Recombination on the Long Arm of Human Chromosome 21. Genome Research. 10(9). 1319–1332. 40 indexed citations
12.
Shaw, Sarah H., Minerva M. Carrasquillo, Carl Kashuk, Erik G. Puffenberger, & Aravinda Chakravarti. (1998). Allele Frequency Distributions in Pooled DNA Samples: Applications to Mapping Complex Disease Genes. Genome Research. 8(2). 111–123. 96 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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2026