Ryan S. Dhindsa

2.9k total citations
26 papers, 478 citations indexed

About

Ryan S. Dhindsa is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ryan S. Dhindsa has authored 26 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ryan S. Dhindsa's work include Genomics and Rare Diseases (13 papers), Genetic Associations and Epidemiology (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Ryan S. Dhindsa is often cited by papers focused on Genomics and Rare Diseases (13 papers), Genetic Associations and Epidemiology (7 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Ryan S. Dhindsa collaborates with scholars based in United States, Australia and United Kingdom. Ryan S. Dhindsa's co-authors include David B. Goldstein, Slavé Petrovski, Brett Copeland, Ayal B. Gussow, Quanli Wang, Andrew S. Allen, William H. Majoros, Dimitrios Vitsios, Anthony M. Mustoe and Andrew R. Harper and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ryan S. Dhindsa

24 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan S. Dhindsa United States 12 216 172 37 31 30 26 478
Xiao Ji China 9 192 0.9× 94 0.5× 34 0.9× 28 0.9× 10 0.3× 31 413
Mark L Parrish United States 10 326 1.5× 72 0.4× 39 1.1× 28 0.9× 23 0.8× 14 445
Stefania Zampatti Italy 14 277 1.3× 92 0.5× 79 2.1× 21 0.7× 17 0.6× 45 641
Dmitry Prokopenko United States 16 341 1.6× 115 0.7× 52 1.4× 25 0.8× 30 1.0× 48 658
Giulia Fragola United States 8 422 2.0× 168 1.0× 20 0.5× 46 1.5× 8 0.3× 10 546
James Li United States 10 474 2.2× 135 0.8× 20 0.5× 55 1.8× 17 0.6× 39 700
Stephen C. Grubb United States 11 340 1.6× 249 1.4× 38 1.0× 29 0.9× 4 0.1× 13 644
Wuxing Yuan United States 12 346 1.6× 50 0.3× 64 1.7× 20 0.6× 39 1.3× 12 753
Chihiro Kato Japan 11 225 1.0× 134 0.8× 73 2.0× 30 1.0× 5 0.2× 28 518

Countries citing papers authored by Ryan S. Dhindsa

Since Specialization
Citations

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

Fields of papers citing papers by Ryan S. Dhindsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan S. Dhindsa. 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 Ryan S. Dhindsa. The network helps show where Ryan S. Dhindsa may publish in the future.

Co-authorship network of co-authors of Ryan S. Dhindsa

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan S. Dhindsa. A scholar is included among the top collaborators of Ryan S. Dhindsa 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 Ryan S. Dhindsa. Ryan S. Dhindsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hollis, Benjamin, et al.. (2026). Population-scale sequencing resolves determinants of persistent EBV DNA. Nature. 650(8102). 664–672.
2.
Matelska, Dorota, Jessica C. Butts, Vida Ravanmehr, et al.. (2025). Diverse ancestral representation improves genetic intolerance metrics. Nature Communications. 16(1). 2648–2648.
3.
Melas, Ioannis N., Chirag Vasavda, Arwa Bin Raies, et al.. (2024). Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data. Science Advances. 10(19). eadj1424–eadj1424. 8 indexed citations
4.
Garg, Manik, Dorota Matelska, Oliver S. Burren, et al.. (2024). Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank. Nature Genetics. 56(9). 1821–1831. 33 indexed citations
5.
Butts, Jessica C., Mark A. Durham, Ryan S. Dhindsa, et al.. (2024). A single-cell transcriptomic map of the developing Atoh1 lineage identifies neural fate decisions and neuronal diversity in the hindbrain. Developmental Cell. 59(16). 2171–2188.e7. 7 indexed citations
6.
Colombo, Sophie, Sabrina Petri, Damian J. Williams, et al.. (2023). Epilepsy in a mouse model of GNB1 encephalopathy arises from altered potassium (GIRK) channel signaling and is alleviated by a GIRK inhibitor. Frontiers in Cellular Neuroscience. 17. 1175895–1175895. 7 indexed citations
7.
Dugger, Sarah A., Ryan S. Dhindsa, Gabriela Louise de Almeida Sampaio, et al.. (2023). Neurodevelopmental deficits and cell-type-specific transcriptomic perturbations in a mouse model of HNRNPU haploinsufficiency. PLoS Genetics. 19(10). e1010952–e1010952. 6 indexed citations
8.
Nag, Abhishek, Ryan S. Dhindsa, Xiao Jiang, et al.. (2023). Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank. The American Journal of Human Genetics. 110(3). 487–498. 8 indexed citations
9.
Butts, Jessica C., et al.. (2023). Atoh1 drives the heterogeneity of the pontine nuclei neurons and promotes their differentiation. Science Advances. 9(26). eadg1671–eadg1671. 3 indexed citations
10.
Hayeck, Tristan J., Nicholas Stong, Evan H. Baugh, et al.. (2022). Ancestry adjustment improves genome-wide estimates of regional intolerance. Genetics. 221(2). 2 indexed citations
11.
Vasavda, Chirag, Jason Liew, Ryan S. Dhindsa, et al.. (2022). Biliverdin reductase bridges focal adhesion kinase to Src to modulate synaptic signaling. Science Signaling. 15(733). eabh3066–eabh3066. 6 indexed citations
12.
Vitsios, Dimitrios, Ryan S. Dhindsa, Dorota Matelska, et al.. (2022). Cancer-driving mutations are enriched in genic regions intolerant to germline variation. Science Advances. 8(34). eabo6371–eabo6371. 6 indexed citations
13.
Raies, Arwa Bin, Ryan S. Dhindsa, Pamela Hill, et al.. (2022). DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets. Communications Biology. 5(1). 1291–1291. 26 indexed citations
14.
Dhindsa, Ryan S., Quanli Wang, Dimitrios Vitsios, et al.. (2022). A minimal role for synonymous variation in human disease. The American Journal of Human Genetics. 109(12). 2105–2109. 15 indexed citations
15.
Koko, Mahmoud, Joshua E. Motelow, Kate E. Stanley, et al.. (2022). Association of ultra‐rare coding variants with genetic generalized epilepsy: A case–control whole exome sequencing study. Epilepsia. 63(3). 723–735. 8 indexed citations
16.
Zoghbi, Anthony W., Ryan S. Dhindsa, Terry E. Goldberg, et al.. (2021). High-impact rare genetic variants in severe schizophrenia. Proceedings of the National Academy of Sciences. 118(51). 33 indexed citations
17.
Vitsios, Dimitrios, et al.. (2021). Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning. Nature Communications. 12(1). 1504–1504. 33 indexed citations
18.
Dhindsa, Ryan S., Brett Copeland, Anthony M. Mustoe, & David B. Goldstein. (2020). Natural Selection Shapes Codon Usage in the Human Genome. The American Journal of Human Genetics. 107(1). 83–95. 41 indexed citations
19.
Gelfman, Sahar, Quanli Wang, Yifan Lu, et al.. (2018). meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays. PLoS Computational Biology. 14(10). e1006506–e1006506. 19 indexed citations
20.
Gussow, Ayal B., Brett Copeland, Ryan S. Dhindsa, et al.. (2017). Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics. PLoS ONE. 12(8). e0181604–e0181604. 135 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiao Ji Breakdown of academic impact, for papers by Mark L Parrish Breakdown of academic impact, for papers by Stefania Zampatti Breakdown of academic impact, for papers by Dmitry Prokopenko Breakdown of academic impact, for papers by Giulia Fragola Breakdown of academic impact, for papers by James Li Breakdown of academic impact, for papers by Stephen C. Grubb Breakdown of academic impact, for papers by Wuxing Yuan Breakdown of academic impact, for papers by Chihiro Kato
Rankless by CCL
2026