Noah Zaitlen

23.6k total citations · 6 hit papers
116 papers, 8.6k citations indexed

About

Noah Zaitlen is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Noah Zaitlen has authored 116 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Genetics, 54 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Noah Zaitlen's work include Genetic Associations and Epidemiology (71 papers), Genetic Mapping and Diversity in Plants and Animals (38 papers) and Genetic and phenotypic traits in livestock (35 papers). Noah Zaitlen is often cited by papers focused on Genetic Associations and Epidemiology (71 papers), Genetic Mapping and Diversity in Plants and Animals (38 papers) and Genetic and phenotypic traits in livestock (35 papers). Noah Zaitlen collaborates with scholars based in United States, United Kingdom and Israel. Noah Zaitlen's co-authors include Hyun Min Kang, Eleazar Eskin, Alkes L. Price, Nelson B. Freimer, Susan K. Service, Chiara Sabatti, Jae Hoon Sul, David Reich, David Heckerman and Claire M. Wade and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Noah Zaitlen

107 papers receiving 8.5k citations

Hit Papers

5 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.

Variance component model to account for sample structure in genome-wide association studies

2010 1.9k citations Noah Zaitlen et al. Nature Genetics profile →
Efficient Control of Population Structure in Model Organism Association Mapping

2008 1.3k citations Noah Zaitlen et al. Genetics profile →
New approaches to population stratification in genome-wide association studies

2010 799 citations Noah Zaitlen et al. profile →
Advantages and pitfalls in the application of mixed-model association methods

2014 614 citations Jian Yang, Noah Zaitlen et al. Nature Genetics profile →
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

2017 525 citations Meena Subramaniam, Noah Zaitlen et al. profile →
Race and Genetic Ancestry in Medicine — A Time for Reckoning with Racism

2021 355 citations Luisa N. Borrell, Jennifer R. Elhawary et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noah Zaitlen United States	35	5.0k	3.0k	1.7k	622	515	116	8.6k
Xiang Zhou United States	42	3.8k 0.8×	3.4k 1.1×	930 0.6×	723 1.2×	433 0.8×	158	7.8k
Luan Wang China	20	2.8k 0.6×	3.7k 1.2×	2.0k 1.2×	918 1.5×	359 0.7×	63	8.5k
Christopher Chang United States	12	4.4k 0.9×	1.9k 0.6×	664 0.4×	530 0.9×	339 0.7×	26	7.3k
Shashaank Vattikuti United States	10	4.3k 0.9×	1.9k 0.6×	657 0.4×	516 0.8×	358 0.7×	11	7.1k
Susan Land United States	31	3.3k 0.7×	4.4k 1.5×	2.0k 1.2×	1.3k 2.0×	598 1.2×	71	10.5k
Brian L. Browning United States	31	6.8k 1.4×	2.4k 0.8×	2.0k 1.2×	820 1.3×	380 0.7×	62	9.0k
Robert M. Plenge United States	24	5.5k 1.1×	3.1k 1.0×	885 0.5×	475 0.8×	858 1.7×	36	9.7k
Sarah Hunt United Kingdom	28	4.1k 0.8×	3.9k 1.3×	681 0.4×	1.1k 1.7×	678 1.3×	55	8.2k
Paul Scheet United States	29	3.3k 0.7×	2.6k 0.8×	573 0.3×	1.3k 2.1×	477 0.9×	82	7.1k
Sharon R. Browning United States	29	7.4k 1.5×	2.5k 0.8×	2.0k 1.2×	807 1.3×	293 0.6×	77	9.6k

Countries citing papers authored by Noah Zaitlen

Since Specialization

Citations

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

Fields of papers citing papers by Noah Zaitlen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Zaitlen

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Zaitlen. A scholar is included among the top collaborators of Noah Zaitlen 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 Noah Zaitlen. Noah Zaitlen 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

Hou, Kangcheng, Marco P. Boks, René S. Kahn, et al.. (2024). Cell-type deconvolution of bulk-blood RNA-seq reveals biological insights into neuropsychiatric disorders. The American Journal of Human Genetics. 111(2). 323–337. 2 indexed citations

Smith, Kirk, Aaron J. Deutsch, Sarah Hsu, et al.. (2024). Multi-ancestry polygenic mechanisms of type 2 diabetes. Nature Medicine. 30(4). 1065–1074. 39 indexed citations

Myrick, Justin W., Noah Zaitlen, Eileen G. Hoal, et al.. (2024). Strong effect of demographic changes on Tuberculosis susceptibility in South Africa. SHILAP Revista de lepidopterología. 4(7). e0002643–e0002643. 3 indexed citations

Alvarez, Marcus, Silviu‐Alin Bacanu, Andrew J. Schork, et al.. (2023). Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries. Nature Genetics. 55(12). 2269–2276. 29 indexed citations

Mefford, Joel, Ella Petter, Alec Chiu, et al.. (2023). Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region. Nature Medicine. 29(7). 1845–1856. 2 indexed citations

Zaitlen, Noah, et al.. (2023). Expanded Reference Tissue Methylome for Tissue-of-origin Deconvolution of Cell-free DNA in Plasma from ALS Patients (P11-8.014). Neurology. 100(17_supplement_2). 1 indexed citations

Petter, Ella, Yi Ding, Kangcheng Hou, et al.. (2023). Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoring. The American Journal of Human Genetics. 110(8). 1319–1329. 4 indexed citations

Siegel, David, Olivier Le Tonquèze, Anne Biton, Noah Zaitlen, & David J. Erle. (2021). Massively parallel analysis of human 3′ UTRs reveals that AU-rich element length and registration predict mRNA destabilization. G3 Genes Genomes Genetics. 12(1). 34 indexed citations

Borrell, Luisa N., Jennifer R. Elhawary, Elena Fuentes‐Afflick, et al.. (2021). Race and Genetic Ancestry in Medicine—A Time for Reckoning With Racism. Obstetrical & Gynecological Survey. 76(7). 395–397. 19 indexed citations

10.

Mefford, Joel, Danny S. Park, Zhili Zheng, et al.. (2020). Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. Journal of Computational Biology. 27(4). 599–612. 13 indexed citations

11.

Keys, Kevin L., Angel C. Y. Mak, Marquitta J. White, et al.. (2020). On the cross-population generalizability of gene expression prediction models. PLoS Genetics. 16(8). e1008927–e1008927. 31 indexed citations

12.

Rau, Christoph, Natalia M. Gonzales, Joshua S. Bloom, et al.. (2020). Modeling epistasis in mice and yeast using the proportion of two or more distinct genetic backgrounds: Evidence for “polygenic epistasis”. PLoS Genetics. 16(10). e1009165–e1009165. 4 indexed citations

13.

Dahl, Andy, Na Cai, Arthur Ko, et al.. (2019). Reverse GWAS: Using genetics to identify and model phenotypic subtypes. PLoS Genetics. 15(4). e1008009–e1008009. 26 indexed citations

14.

Dahl, Andy, Vincent Guillemot, Joel Mefford, Hugues Aschard, & Noah Zaitlen. (2019). Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives. Genetics. 211(4). 1179–1189. 10 indexed citations

15.

Lea, Amanda J., Meena Subramaniam, Arthur Ko, et al.. (2019). Genetic and environmental perturbations lead to regulatory decoherence. eLife. 8. 28 indexed citations

16.

Rappoport, Nadav, Harikrishna Paik, Boris Oskotsky, et al.. (2018). Comparing Ethnicity-Specific Reference Intervals for Clinical Laboratory Tests from EHR Data. The Journal of Applied Laboratory Medicine. 3(3). 366–377. 24 indexed citations

17.

Zaitlen, Noah, Scott Huntsman, Donglei Hu, et al.. (2016). The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium. Genetics. 205(1). 375–383. 20 indexed citations

18.

Balliu, Brunilda & Noah Zaitlen. (2016). A Novel Test for Detecting SNP–SNP Interactions in Case-Only Trio Studies. Genetics. 202(4). 1289–1297. 3 indexed citations

19.

Caswell‐Jin, Jennifer L., Roman Camarda, Alicia Y. Zhou, et al.. (2015). Multiple breast cancer risk variants are associated with differential transcript isoform expression in tumors. Human Molecular Genetics. 24(25). 7421–7431. 16 indexed citations

20.

Paşaniuc, Bogdan, Noah Zaitlen, & Eran Halperin. (2011). Accurate Estimation of Expression Levels of Homologous Genes in RNA-seq Experiments. Journal of Computational Biology. 18(3). 459–468. 33 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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