Matthew P. Conomos

11.0k total citations · 1 hit paper
26 papers, 1.5k citations indexed

About

Matthew P. Conomos is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew P. Conomos has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 8 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew P. Conomos's work include Genetic Associations and Epidemiology (16 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Matthew P. Conomos is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Matthew P. Conomos collaborates with scholars based in United States, Australia and Singapore. Matthew P. Conomos's co-authors include Timothy A. Thornton, Bruce S. Weir, Michael B. Miller, Alexander P. Reiner, Kenneth Rice, Stephanie M. Gogarten, Tamar Sofer, Cathy C. Laurie, Han Chen and Andrew T. Magis and has published in prestigious journals such as Journal of Clinical Investigation, Bioinformatics and Nature Reviews Genetics.

In The Last Decade

Matthew P. Conomos

25 papers receiving 1.5k 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.

Principles and methods for transferring polygenic risk scores across global populations

2023 103 citations Linda Kachuri, Nilanjan Chatterjee et al. Nature Reviews Genetics profile →

Peers

Countries citing papers authored by Matthew P. Conomos

Since Specialization

Citations

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

Fields of papers citing papers by Matthew P. Conomos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew P. Conomos. 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 Matthew P. Conomos. The network helps show where Matthew P. Conomos may publish in the future.

Co-authorship network of co-authors of Matthew P. Conomos

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Conomos. A scholar is included among the top collaborators of Matthew P. Conomos 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 Matthew P. Conomos. Matthew P. Conomos 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

#	Work	Indexed citations
1	Data sharing in the PRIMED Consortium: Design, implementation, and recommendations for future policymaking 2025 ·The American Journal of Human Genetics ·Johanna L. Smith, Quenna Wong, Whitney Hornsby, Matthew P. Conomos, Ben Heavner, Iftikhar J. Kullo, (unknown), Stephen S. Rich, Adrienne M. Stilp, Bamidele O. Tayo, Yuji Zhang, (unknown), Sarah C. Nelson, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
2	The power of representation: Statistical analysis of diversity in US Alzheimer's disease genetics data 2024 ·Alzheimer s & Dementia Translational Research & Clinical Interventions ·(unknown), Elizabeth Blue, Matthew P. Conomos, Alison E. Fohner	4
3	Principles and methods for transferring polygenic risk scores across global populations breakdown → 2023 ·Nature Reviews Genetics ·Linda Kachuri, Nilanjan Chatterjee, Jibril Hirbo, Daniel J. Schaid, Iman K. Martin, Iftikhar J. Kullo, Eimear E. Kenny, Bogdan Paşaniuc, Paul L. Auer, Matthew P. Conomos, David V. Conti, Yi Ding, Ying Wang, Haoyu Zhang, Yuji Zhang, John S. Witte, Tian Ge	103
4	Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program 2022 ·Cell Genomics ·Alyna Khan, Stephanie M. Gogarten, Caitlin McHugh, Adrienne M. Stilp, Tamar Sofer, (unknown), Quenna Wong, L. Adrienne Cupples, Bertha Hidalgo, Andrew D. Johnson, Merry‐Lynn McDonald, Stephen T. McGarvey, Matthew R. Taylor, Stephanie M. Fullerton, Matthew P. Conomos, Sarah C. Nelson	49
5	Heterogeneity in statin responses explained by variation in the human gut microbiome 2022 ·Med ·Tomasz Wilmanski, Sergey A. Kornilov, Christian Diener, Matthew P. Conomos, Jennifer C. Lovejoy, Paola Sebastiani, Eric Orwoll, Leroy Hood, Nathan D. Price, Noa Rappaport, Andrew T. Magis, Sean M. Gibbons	43
6	Genome-wide association study in the Taiwan Biobank identifies four novel genes for human height:NABP2, RASA2, RNF41andSLC39A5 2021 ·Human Molecular Genetics ·Eugene Lin, Shih‐Jen Tsai, Po‐Hsiu Kuo, Yu‐Li Liu, Albert C. Yang, Matthew P. Conomos, Timothy A. Thornton	8
7	DUOX2 variants associate with preclinical disturbances in microbiota-immune homeostasis and increased inflammatory bowel disease risk 2021 ·Journal of Clinical Investigation ·Helmut Grasberger, Andrew T. Magis, (unknown), Matthew P. Conomos, Min Zhang, (unknown), Guoqing Hou, Shrinivas Bishu, Hiroko Nagao‐Kitamoto, Mohamad El‐Zaatari, Sho Kitamoto, Nobuhiko Kamada, Ryan W. Stidham, Yasutada Akiba, Jonathan D. Kaunitz, Yael Haberman, Subra Kugathasan, Lee A. Denson, Gilbert S. Omenn, John Y. Kao	42
8	Untargeted longitudinal analysis of a wellness cohort identifies markers of metastatic cancer years prior to diagnosis 2020 ·Scientific Reports ·Andrew T. Magis, Noa Rappaport, Matthew P. Conomos, Gilbert S. Omenn, Jennifer C. Lovejoy, Leroy Hood, Nathan D. Price	15
9	Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program 2019 ·Scientific Reports ·Niha Zubair, Matthew P. Conomos, Leroy Hood, Gilbert S. Omenn, Nathan D. Price, Bonnie Spring, Andrew T. Magis, Jennifer C. Lovejoy	33
10	Genetic association testing using the GENESIS R/Bioconductor package 2019 ·Bioinformatics ·Stephanie M. Gogarten, Tamar Sofer, Han Chen, Chaoyu Yu, Jennifer A. Brody, Timothy A. Thornton, Kenneth Rice, Matthew P. Conomos	154
11	A Multi-omic Association Study of Trimethylamine N-Oxide 2018 ·Cell Reports ·Ohad Manor, Niha Zubair, Matthew P. Conomos, Xiaojing Xu, (unknown), Cynthia E. Krafft, Jennifer C. Lovejoy, Andrew T. Magis	112
12	SeqArray—a storage-efficient high-performance data format for WGS variant calls 2017 ·Bioinformatics ·Xiuwen Zheng, Stephanie M. Gogarten, Michael C. Lawrence, Adrienne M. Stilp, Matthew P. Conomos, Bruce S. Weir, Cathy C. Laurie, David Levine	82
13	Habitual sleep duration and sleep duration variation are independently associated with body mass index 2017 ·International Journal of Obesity ·Xingyan Xu, Matthew P. Conomos, Ohad Manor, (unknown), Andrew T. Magis, (unknown)	20
14	Estimating relationships between phenotypes and subjects drawn from admixed families 2016 ·BMC Proceedings ·Elizabeth Blue, Lisa Brown, Matthew P. Conomos, Jennifer L. Kirk, Alejandro Q. Nato, Alice B. Popejoy, Jesse D. Raffa, John Michael O. Rañola, Ellen M. Wijsman, Timothy A. Thornton	4
15	Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models 2016 ·The American Journal of Human Genetics ·Han Chen, Chaolong Wang, Matthew P. Conomos, Adrienne M. Stilp, Zilin Li, Tamar Sofer, Adam A. Szpiro, Wei Chen, John M. Brehm, Juan C. Celedón, Susan Redline, George Papanicolaou, Timothy A. Thornton, Cathy C. Laurie, Kenneth Rice, Xihong Lin	221
16	Robust Inference of Population Structure for Ancestry Prediction and Correction of Stratification in the Presence of Relatedness 2015 ·Genetic Epidemiology ·Matthew P. Conomos, Michael B. Miller, Timothy A. Thornton	188
17	Genome-wide association study of dental caries in the Hispanic Communities Health Study/Study of Latinos (HCHS/SOL) 2015 ·Human Molecular Genetics ·Jean Morrison, Cathy C. Laurie, Mary L. Marazita, Anne E. Sanders, Steven Offenbacher, Christian R. Salazar, Matthew P. Conomos, Timothy A. Thornton, Deepti Jain, Cecelia Laurie, Kathleen F. Kerr, George Papanicolaou, Kent D. Taylor, Linda M. Kaste, James D. Beck, John R. Shaffer	33
18	Identity-by-descent graphs offer a flexible framework for imputation and both linkage and association analyses 2014 ·BMC Proceedings ·Elizabeth Blue, Charles Cheung, (unknown), Matthew P. Conomos, Steven M. Lewis, (unknown), Timothy A. Thornton, Ellen M. Wijsman	6
19	Estimating and adjusting for ancestry admixture in statistical methods for relatedness inference, heritability estimation, and association testing 2014 ·BMC Proceedings ·Timothy A. Thornton, Matthew P. Conomos, (unknown), Elizabeth Blue, Charles Cheung, (unknown), Steven M. Lewis, Ellen M. Wijsman	13
20	Attitudes of drivers towards organ donation. 1992 ·PubMed ·Ian R. Hardie, Matthew P. Conomos, (unknown), (unknown)	3

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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