Nicholas Mancuso

6.2k total citations · 2 hit papers
53 papers, 2.2k citations indexed

About

Nicholas Mancuso is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Nicholas Mancuso has authored 53 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 30 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Nicholas Mancuso's work include Genetic Associations and Epidemiology (27 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Genetic and phenotypic traits in livestock (9 papers). Nicholas Mancuso is often cited by papers focused on Genetic Associations and Epidemiology (27 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Genetic and phenotypic traits in livestock (9 papers). Nicholas Mancuso collaborates with scholars based in United States, United Kingdom and Sweden. Nicholas Mancuso's co-authors include Bogdan Paşaniuc, Huwenbo Shi, Alexander Gusev, Gleb Kichaev, Malika Freund, Ruth Johnson, Thomas Quertermous, Johan Björkegren, Ke Hao and Manuel A. Rivas and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Nicholas Mancuso

51 papers receiving 2.2k 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.

Opportunities and challenges for transcriptome-wide association studies

2019 506 citations Michael Wainberg, Nasa Sinnott-Armstrong et al. Nature Genetics profile →
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

2018 293 citations Alexander Gusev, Nicholas Mancuso et al. Nature Genetics profile →

Peers

Nicholas Mancuso

GENET

IMMUN

EPIDE

Lukas Forer Austria

Steven Flygare United States

Nasa Sinnott-Armstrong United States

James Ireland United States

Ian J. Purvis United Kingdom

Klaudia Walter United Kingdom

Maris Laan Estonia

Matthew P. Conomos United States

Lukas Habegger United States

Louise Metherell United Kingdom

Lukas Forer Austria

Nicholas Mancuso

1.1k ×0.8

GENET

879 ×0.7

185 ×1.0

89 ×0.8

IMMUN

97 ×0.9

EPIDE

Citations per year, relative to Nicholas Mancuso Nicholas Mancuso (= 1×) peers Lukas Forer

Countries citing papers authored by Nicholas Mancuso

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Mancuso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Mancuso

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

Zhong, Charlie, Xiaomei Ma, Catherine Metayer, et al.. (2024). The Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia: A Gene–Environment Interaction Study. Cancer Epidemiology Biomarkers & Prevention. 34(1). 100–107. 1 indexed citations

Wang, Juehan, et al.. (2024). Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions. The American Journal of Human Genetics. 111(10). 2117–2128. 2 indexed citations

Mancuso, Nicholas, et al.. (2024). Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesis. Arthritis Research & Therapy. 26(1). 47–47. 3 indexed citations

Jung, Junghyun, et al.. (2023). Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association study. Human Molecular Genetics. 33(2). 170–181. 6 indexed citations

Bhattacharya, Arjun, et al.. (2023). twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis. Bioinformatics. 39(5). 1 indexed citations

Fejzo, Marlena S., Natàlia Pujol‐Gualdo, Triin Laisk, et al.. (2023). GDF15, Genetic Risk Factor for Hyperemesis Gravidarum, Inversely Associated With Pregnancy Weight Gain [ID: 1358449]. Obstetrics and Gynecology. 141(5S). 73S–74S. 1 indexed citations

Feng, Qianxi, Mi Zhou, Shaobo Li, et al.. (2022). Interaction between maternal killer immunoglobulin-like receptors and offspring HLAs and susceptibility of childhood ALL. Blood Advances. 6(12). 3756–3766. 4 indexed citations

Mancuso, Nicholas, et al.. (2022). A genealogical estimate of genetic relationships. The American Journal of Human Genetics. 109(5). 812–824. 19 indexed citations

Gopalan, Shyamalika, et al.. (2022). Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies. The American Journal of Human Genetics. 109(8). 1388–1404. 31 indexed citations

10.

Wiemels, Joseph L., Rong Wang, Mi Zhou, et al.. (2022). Cytomegalovirus proteins, maternal pregnancy cytokines, and their impact on neonatal immune cytokine profiles and acute lymphoblastic leukemogenesis in children. Haematologica. 107(9). 2266–2270. 6 indexed citations

11.

Feng, Helian, Nicholas Mancuso, Alexander Gusev, et al.. (2021). Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies. PLoS Genetics. 17(4). e1008973–e1008973. 41 indexed citations

12.

Liu, Duo, Jingjing Zhu, Dan Zhou, et al.. (2021). A transcriptome‐wide association study identifies novel candidate susceptibility genes for prostate cancer risk. International Journal of Cancer. 150(1). 80–90. 18 indexed citations

13.

Jeon, Soyoung, Adam J. de Smith, Shaobo Li, et al.. (2021). Genome-wide trans-ethnic meta-analysis identifies novel susceptibility loci for childhood acute lymphoblastic leukemia. Leukemia. 36(3). 865–868. 14 indexed citations

14.

Jiang, Lai, Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, & David V. Conti. (2020). A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis. American Journal of Epidemiology. 190(6). 1148–1158. 4 indexed citations

15.

Wainberg, Michael, Nasa Sinnott-Armstrong, Nicholas Mancuso, et al.. (2019). Opportunities and challenges for transcriptome-wide association studies. Nature Genetics. 51(4). 592–599. 506 indexed citations breakdown →

16.

Hou, Kangcheng, Kathryn S. Burch, Arunabha Majumdar, et al.. (2019). Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture. Nature Genetics. 51(8). 1244–1251. 59 indexed citations

17.

Jung, Su Yon, Nicholas Mancuso, Jeanette C. Papp, Eric M. Sobel, & Zuo‐Feng Zhang. (2019). Post genome-wide gene-environment interaction study: The effect of genetically driven insulin resistance on breast cancer risk using Mendelian randomization. PLoS ONE. 14(6). e0218917–e0218917. 8 indexed citations

18.

Walker, Rebecca L., Gokul Ramaswami, Christopher Hartl, et al.. (2019). Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms. Cell. 179(3). 750–771.e22. 146 indexed citations

19.

Gusev, Alexander, Nicholas Mancuso, Hyejung Won, et al.. (2018). Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nature Genetics. 50(4). 538–548. 293 indexed citations breakdown →

20.

Jung, Su Yon, Nicholas Mancuso, Herbert Yu, et al.. (2018). Genome-Wide Meta-analysis of Gene–Environmental Interaction for Insulin Resistance Phenotypes and Breast Cancer Risk in Postmenopausal Women. Cancer Prevention Research. 12(1). 31–42. 12 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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