Gabriel Boyle

405 total citations
8 papers, 157 citations indexed

About

Gabriel Boyle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Gabriel Boyle has authored 8 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Gabriel Boyle's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Gabriel Boyle is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Gabriel Boyle collaborates with scholars based in United States, South Africa and Australia. Gabriel Boyle's co-authors include Maitreya J. Dunham, Douglas M. Fowler, Lai Hong Wong, Sylvain Lesné, Mathew A. Sherman, Fatou Amar, Michael K. Lee, Allan E. Rettie, Katherine A. Sitko and Matthew G. McDonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Genetics.

In The Last Decade

Gabriel Boyle

7 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabriel Boyle United States	5	74	52	46	31	26	8	157
Alexander Svanbergsson Sweden	8	77 1.0×	81 1.6×	63 1.4×	14 0.5×	41 1.6×	10	208
Gert Schwach Austria	8	63 0.9×	81 1.6×	33 0.7×	6 0.2×	40 1.5×	11	236
Mara Zilocchi Canada	7	126 1.7×	55 1.1×	34 0.7×	12 0.4×	36 1.4×	15	212
Serguei Nabirotchkin Germany	7	80 1.1×	80 1.5×	39 0.8×	15 0.5×	122 4.7×	9	256
John Fredy Castro-Álvarez Colombia	10	85 1.1×	22 0.4×	115 2.5×	27 0.9×	62 2.4×	18	255
Doo Soon Im South Korea	9	104 1.4×	37 0.7×	57 1.2×	12 0.4×	26 1.0×	12	229
Bruno Bournique France	8	128 1.7×	22 0.4×	33 0.7×	21 0.7×	102 3.9×	12	299
Takahiro Koinuma Japan	5	102 1.4×	143 2.8×	68 1.5×	7 0.2×	30 1.2×	6	249
Manuel Ramirez‐Restrepo United States	3	112 1.5×	27 0.5×	50 1.1×	14 0.5×	13 0.5×	3	281
Himanshu Mishra India	8	59 0.8×	37 0.7×	26 0.6×	15 0.5×	85 3.3×	27	242

Countries citing papers authored by Gabriel Boyle

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Boyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Boyle

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

All Works

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8 of 8 papers shown

1.

Gafken, Philip R., Sara Martire, Gabriel Boyle, et al.. (2025). The length of the G1 phase is an essential determinant of H3K27me3 landscapes across diverse cell types. PLoS Biology. 23(4). e3003119–e3003119.

2.

Weile, Jochen, Gabriel Boyle, Sriram Pendyala, et al.. (2024). Pacybara: accurate long-read sequencing for barcoded mutagenized allelic libraries. Bioinformatics. 40(4). 2 indexed citations

3.

Boyle, Gabriel, Katherine A. Sitko, Jared Galloway, et al.. (2024). Deep mutational scanning of CYP2C19 in human cells reveals a substrate specificity-abundance tradeoff. Genetics. 228(3). 5 indexed citations

4.

Brown, Jennifer L., Gabriel Boyle, Andrés M. Baraibar, et al.. (2022). SNCA genetic lowering reveals differential cognitive function of alpha-synuclein dependent on sex. Acta Neuropathologica Communications. 10(1). 180–180. 4 indexed citations

5.

Chiasson, Melissa A., Matthew G. McDonald, Lai Hong Wong, et al.. (2021). Massively parallel characterization of CYP2C9 variant enzyme activity and abundance. The American Journal of Human Genetics. 108(9). 1735–1751. 61 indexed citations

6.

Geck, Renee C., et al.. (2021). Measuring Pharmacogene Variant Function at Scale Using Multiplexed Assays. The Annual Review of Pharmacology and Toxicology. 62(1). 531–550. 12 indexed citations

7.

Khan, Shahzad S., Gabriel Boyle, Mathew A. Sherman, et al.. (2018). Bidirectional modulation of Alzheimer phenotype by alpha-synuclein in mice and primary neurons. Acta Neuropathologica. 136(4). 589–605. 26 indexed citations

8.

Larson, Megan, Fatou Amar, Gabriel Boyle, et al.. (2017). Selective lowering of synapsins induced by oligomeric α-synuclein exacerbates memory deficits. Proceedings of the National Academy of Sciences. 114(23). E4648–E4657. 47 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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