Kaitlin E. Samocha

45.9k total citations · 1 hit paper
23 papers, 1.9k citations indexed

About

Kaitlin E. Samocha is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kaitlin E. Samocha has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 12 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Kaitlin E. Samocha's work include Genomics and Rare Diseases (13 papers), Genetic Associations and Epidemiology (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Kaitlin E. Samocha is often cited by papers focused on Genomics and Rare Diseases (13 papers), Genetic Associations and Epidemiology (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Kaitlin E. Samocha collaborates with scholars based in United States, United Kingdom and Germany. Kaitlin E. Samocha's co-authors include Mark J. Daly, Daniel G. MacArthur, Benjamin M. Neale, Konrad J. Karczewski, Monkol Lek, Shamil Sunyaev, Douglas M. Ruderfer, David Kavanagh, Tymor Hamamsy and Eric S. Lander and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kaitlin E. Samocha

22 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.

The ExAC browser: displaying reference data information from over 60 000 exomes

2016 452 citations Konrad J. Karczewski, Ben Weisburd et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaitlin E. Samocha United States	17	1.3k	917	210	178	96	23	1.9k
Iuliana Ionita‐Laza United States	25	1.8k 1.4×	1.3k 1.4×	181 0.9×	137 0.8×	105 1.1×	74	2.6k
Dheeraj Malhotra United States	18	653 0.5×	1.0k 1.1×	174 0.8×	223 1.3×	63 0.7×	29	2.0k
Katherine Lachlan United Kingdom	19	659 0.5×	869 0.9×	122 0.6×	122 0.7×	84 0.9×	45	1.4k
Alistair T. Pagnamenta United Kingdom	24	537 0.4×	1.2k 1.3×	169 0.8×	133 0.7×	84 0.9×	49	1.9k
Marjolein H. Willemsen Netherlands	20	1.5k 1.2×	1.3k 1.4×	244 1.2×	194 1.1×	74 0.8×	43	2.4k
Karin M. Dent United States	15	1.1k 0.9×	950 1.0×	264 1.3×	85 0.5×	65 0.7×	29	2.1k
Andrew Brown United Kingdom	22	890 0.7×	1.4k 1.5×	234 1.1×	90 0.5×	215 2.2×	49	2.4k
Arjan P.M. de Brouwer Netherlands	30	923 0.7×	1.6k 1.7×	185 0.9×	155 0.9×	60 0.6×	77	2.4k
Peri Tate United Kingdom	16	728 0.6×	1.9k 2.1×	225 1.1×	132 0.7×	101 1.1×	21	2.3k
Katherina Walz United States	26	965 0.8×	1.1k 1.2×	75 0.4×	193 1.1×	146 1.5×	59	1.7k

Countries citing papers authored by Kaitlin E. Samocha

Since Specialization

Citations

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

Fields of papers citing papers by Kaitlin E. Samocha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlin E. Samocha. 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 Kaitlin E. Samocha. The network helps show where Kaitlin E. Samocha may publish in the future.

Co-authorship network of co-authors of Kaitlin E. Samocha

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlin E. Samocha. A scholar is included among the top collaborators of Kaitlin E. Samocha 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 Kaitlin E. Samocha. Kaitlin E. Samocha 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

Wigdor, Emilie M., Kaitlin E. Samocha, Ruth Y. Eberhardt, et al.. (2024). Investigating the role of common cis-regulatory variants in modifying penetrance of putatively damaging, inherited variants in severe neurodevelopmental disorders. Scientific Reports. 14(1). 8708–8708.

Jukarainen, Sakari, Tuomo Kiiskinen, Aki S. Havulinna, et al.. (2022). Genetic risk factors have a substantial impact on healthy life years. Nature Medicine. 28(9). 1893–1901. 29 indexed citations

Gardner, Eugene J., Matthew D. C. Neville, Kaitlin E. Samocha, et al.. (2022). Reduced reproductive success is associated with selective constraint on human genes. Nature. 603(7903). 858–863. 29 indexed citations

Gardner, Eugene J., Elena Prigmore, Giuseppe Gallone, et al.. (2019). Contribution of retrotransposition to developmental disorders. Nature Communications. 10(1). 4630–4630. 39 indexed citations

Zhang, Sidi, Kaitlin E. Samocha, Manuel A. Rivas, et al.. (2018). Base-specific mutational intolerance near splice sites clarifies the role of nonessential splice nucleotides. Genome Research. 28(7). 968–974. 29 indexed citations

Kosmicki, Jack A., Kaitlin E. Samocha, Daniel P. Howrigan, et al.. (2017). Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples. Nature Genetics. 49(4). 504–510. 183 indexed citations

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

Choi, Jinmyung, Parisa Shooshtari, Kaitlin E. Samocha, Mark J. Daly, & Chris Cotsapas. (2016). Network Analysis of Genome-Wide Selective Constraint Reveals a Gene Network Active in Early Fetal Brain Intolerant of Mutation. PLoS Genetics. 12(6). e1006121–e1006121. 10 indexed citations

Karczewski, Konrad J., Ben Weisburd, Brett Thomas, et al.. (2016). The ExAC browser: displaying reference data information from over 60 000 exomes. Nucleic Acids Research. 45(D1). D840–D845. 452 indexed citations breakdown →

10.

Ruderfer, Douglas M., Tymor Hamamsy, Monkol Lek, et al.. (2016). Patterns of genic intolerance of rare copy number variation in 59,898 human exomes. Nature Genetics. 48(10). 1107–1111. 104 indexed citations

11.

Zou, James, Gregory Valiant, Paul Valiant, et al.. (2016). Quantifying unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects. Nature Communications. 7(1). 13293–13293. 30 indexed citations

12.

Francioli, Laurent C., Kiran Garimella, Menachem Fromer, et al.. (2016). A framework for the detection of de novo mutations in family-based sequencing data. European Journal of Human Genetics. 25(2). 227–233. 16 indexed citations

13.

Kryukov, Gregory V., Craig M. Bielski, Kaitlin E. Samocha, et al.. (2015). Genetic Effect of Chemotherapy Exposure in Children of Testicular Cancer Survivors. Clinical Cancer Research. 22(9). 2183–2189. 14 indexed citations

14.

Ware, James S., Kaitlin E. Samocha, Jason Homsy, & Mark J. Daly. (2015). Interpreting de novo Variation in Human Disease Using denovolyzeR. Current Protocols in Human Genetics. 87(1). 7.25.1–7.25.15. 43 indexed citations

15.

Allen, Eliezer M. Van, Gregory V. Kryukov, Craig M. Bielski, et al.. (2015). Transgenerational genomic effect of chemotherapy exposure in testicular cancer survivors.. Journal of Clinical Oncology. 33(15_suppl). 1543–1543. 1 indexed citations

16.

Grimm, Dominik G., Chloé‐Agathe Azencott, Fabian Aicheler, et al.. (2015). The Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of Circularity. Human Mutation. 36(5). 513–523. 242 indexed citations

17.

Robinson, Elise, Kaitlin E. Samocha, Jack A. Kosmicki, et al.. (2014). Autism spectrum disorder severity reflects the average contribution of de novo and familial influences. Proceedings of the National Academy of Sciences. 111(42). 15161–15165. 85 indexed citations

18.

Samocha, Kaitlin E., et al.. (2010). Fine mapping of QTL for prepulse inhibition in LG/J and SM/J mice using F₂ and advanced intercross lines. Genes Brain & Behavior. 9(7). 759–767. 32 indexed citations

19.

Cheng, Riyan, Jackie E. Lim, Kaitlin E. Samocha, et al.. (2010). Genome-Wide Association Studies and the Problem of Relatedness Among Advanced Intercross Lines and Other Highly Recombinant Populations. Genetics. 185(3). 1033–1044. 82 indexed citations

20.

Norgard, Elizabeth A., Joseph P. Jarvis, Charles C. Roseman, et al.. (2009). Replication of long-bone length QTL in the F9-F10 LG,SM advanced intercross. Mammalian Genome. 20(4). 224–235. 29 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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