Nasa Sinnott-Armstrong

22.1k total citations · 1 hit paper
32 papers, 2.1k citations indexed

About

Nasa Sinnott-Armstrong is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Nasa Sinnott-Armstrong has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Nasa Sinnott-Armstrong's work include Genetic Associations and Epidemiology (12 papers), RNA modifications and cancer (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Nasa Sinnott-Armstrong is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), RNA modifications and cancer (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Nasa Sinnott-Armstrong collaborates with scholars based in United States, China and United Kingdom. Nasa Sinnott-Armstrong's co-authors include Manuel A. Rivas, Jonathan K. Pritchard, Anshul Kundaje, Michael Wainberg, Arno Ruusalepp, Johan Björkegren, Ke Hao, Hae Kyung Im, Bogdan Paşaniuc and Nicholas Mancuso and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Nasa Sinnott-Armstrong

32 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nasa Sinnott-Armstrong United States	20	1.1k	755	350	251	150	32	2.1k
Yao Fan China	18	1.0k 0.9×	313 0.4×	293 0.8×	49 0.2×	183 1.2×	39	1.9k
Ahmad Abou Tayoun United Arab Emirates	23	892 0.8×	838 1.1×	229 0.7×	44 0.2×	230 1.5×	81	2.0k
Zuoheng Wang United States	27	659 0.6×	641 0.8×	78 0.2×	55 0.2×	196 1.3×	90	2.3k
Ferdinand von Meyenn Switzerland	23	2.1k 2.0×	357 0.5×	55 0.2×	186 0.7×	348 2.3×	48	2.7k
Ian J. Purvis United Kingdom	23	1.1k 1.1×	737 1.0×	58 0.2×	62 0.2×	110 0.7×	37	2.1k
Lorenza Vitale Italy	21	1.2k 1.2×	313 0.4×	55 0.2×	80 0.3×	212 1.4×	64	2.0k
Qiang Shao China	22	881 0.8×	165 0.2×	185 0.5×	82 0.3×	309 2.1×	78	1.9k
Philip D. Charles United Kingdom	26	1.0k 0.9×	185 0.2×	132 0.4×	55 0.2×	131 0.9×	52	2.0k
Bastiaan Hoogendoorn United Kingdom	20	1.1k 1.0×	633 0.8×	57 0.2×	38 0.2×	113 0.8×	32	1.9k
Milind Mahajan United States	25	1.1k 1.1×	703 0.9×	64 0.2×	33 0.1×	329 2.2×	42	2.3k

Countries citing papers authored by Nasa Sinnott-Armstrong

Since Specialization

Citations

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

Fields of papers citing papers by Nasa Sinnott-Armstrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nasa Sinnott-Armstrong. 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 Nasa Sinnott-Armstrong. The network helps show where Nasa Sinnott-Armstrong may publish in the future.

Co-authorship network of co-authors of Nasa Sinnott-Armstrong

This figure shows the co-authorship network connecting the top 25 collaborators of Nasa Sinnott-Armstrong. A scholar is included among the top collaborators of Nasa Sinnott-Armstrong 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 Nasa Sinnott-Armstrong. Nasa Sinnott-Armstrong 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

Templin, Tara, et al.. (2025). Framework for bias evaluation in large language models in healthcare settings. npj Digital Medicine. 8(1). 414–414. 3 indexed citations

Ollila, Hanna M., Nasa Sinnott-Armstrong, Katri Kantojärvi, et al.. (2024). Nightmares share genetic risk factors with sleep and psychiatric traits. Translational Psychiatry. 14(1). 123–123. 8 indexed citations

Rothschild, Daphna, Teodorus Theo Susanto, Xin Sui, et al.. (2024). Diversity of ribosomes at the level of rRNA variation associated with human health and disease. Cell Genomics. 4(9). 100629–100629. 10 indexed citations

Zhu, Yiwen, Usman A. Tahir, Nasa Sinnott-Armstrong, et al.. (2023). Metabolomic epidemiology offers insights into disease aetiology. Nature Metabolism. 5(10). 1656–1672. 17 indexed citations

Joshi, Amit D., Ali Rahnavard, Priyadarshini Kachroo, et al.. (2023). An epidemiological introduction to human metabolomic investigations. Trends in Endocrinology and Metabolism. 34(9). 505–525. 11 indexed citations

Shue, Yan Ting, Alexandros P. Drainas, Nasa Sinnott-Armstrong, et al.. (2022). A conserved YAP/Notch/REST network controls the neuroendocrine cell fate in the lungs. Nature Communications. 13(1). 2690–2690. 33 indexed citations

Freimer, Jacob W., Oren Shaked, Sahin Naqvi, et al.. (2022). Systematic discovery and perturbation of regulatory genes in human T cells reveals the architecture of immune networks. Nature Genetics. 54(8). 1133–1144. 37 indexed citations

Sinnott-Armstrong, Nasa, Anna Cichońska, Heli Julkunen, et al.. (2022). Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation. eLife. 11. 21 indexed citations

Sobreira, Débora R., Amelia C. Joslin, Qi Zhang, et al.. (2021). Extensive pleiotropism and allelic heterogeneity mediate metabolic effects of IRX3 and IRX5. Science. 372(6546). 1085–1091. 62 indexed citations

10.

Wainberg, Michael, Roarke A. Kamber, Akshay Balsubramani, et al.. (2021). A genome-wide atlas of co-essential modules assigns function to uncharacterized genes. Nature Genetics. 53(5). 638–649. 103 indexed citations

11.

Sinnott-Armstrong, Nasa, Isabel Sousa, Samantha Laber, et al.. (2021). A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density. Cell Metabolism. 33(3). 615–628.e13. 27 indexed citations

12.

Mateo, Leslie J., Nasa Sinnott-Armstrong, & Alistair N. Boettiger. (2021). Tracing DNA paths and RNA profiles in cultured cells and tissues with ORCA. Nature Protocols. 16(3). 1647–1713. 34 indexed citations

13.

Sinnott-Armstrong, Nasa, Sahin Naqvi, Manuel A. Rivas, & Jonathan K. Pritchard. (2021). GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background. eLife. 10. 84 indexed citations

14.

Trevino, Alexandro E., Nasa Sinnott-Armstrong, Jimena Andersen, et al.. (2020). Chromatin accessibility dynamics in a model of human forebrain development. Science. 367(6476). 149 indexed citations

15.

Wainberg, Michael, Andrew T. Magis, John C. Earls, et al.. (2020). Multiomic blood correlates of genetic risk identify presymptomatic disease alterations. Proceedings of the National Academy of Sciences. 117(35). 21813–21820. 21 indexed citations

16.

Tanigawa, Yosuke, et al.. (2020). Sex-specific genetic effects across biomarkers. European Journal of Human Genetics. 29(1). 154–163. 47 indexed citations

17.

Berg, Jeremy J., Arbel Harpak, Nasa Sinnott-Armstrong, et al.. (2019). Reduced signal for polygenic adaptation of height in UK Biobank. eLife. 8. 209 indexed citations

18.

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 →

19.

Wainberg, Michael, Anubha Mahajan, Anshul Kundaje, et al.. (2019). Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: A Mendelian randomization study. PLoS Medicine. 16(12). e1002982–e1002982. 28 indexed citations

20.

Wang, Xinchen, Liang He, Alham Saadat, et al.. (2018). High-resolution genome-wide functional dissection of transcriptional regulatory regions and nucleotides in human. Nature Communications. 9(1). 5380–5380. 89 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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