Ryan M. Mulqueen

1.0k total citations
9 papers, 476 citations indexed

About

Ryan M. Mulqueen is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Ryan M. Mulqueen has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Immunology. Recurrent topics in Ryan M. Mulqueen's work include Single-cell and spatial transcriptomics (8 papers), Epigenetics and DNA Methylation (3 papers) and Immune cells in cancer (2 papers). Ryan M. Mulqueen is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Epigenetics and DNA Methylation (3 papers) and Immune cells in cancer (2 papers). Ryan M. Mulqueen collaborates with scholars based in United States, Canada and France. Ryan M. Mulqueen's co-authors include Brian J. O’Roak, Andrew C. Adey, Frank J. Steemers, Kristof Törkenczy, Dmitry Pokholok, John R. Sinnamon, Andrew J. Fields, Cole Trapnell, Steven Norberg and Yannis Duffourd and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Ryan M. Mulqueen

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan M. Mulqueen United States	8	397	123	105	39	35	9	476
John R. Sinnamon United States	9	421 1.1×	78 0.6×	74 0.7×	28 0.7×	21 0.6×	10	460
Armen Abnousi United States	9	456 1.1×	63 0.5×	78 0.7×	27 0.7×	13 0.4×	19	502
Bryan J. Pavlovic United States	10	525 1.3×	91 0.7×	49 0.5×	25 0.6×	13 0.4×	13	612
Meghan A. Rego United States	8	271 0.7×	87 0.7×	48 0.5×	11 0.3×	19 0.5×	12	356
Sarah Vitak United States	5	229 0.6×	19 0.2×	92 0.9×	29 0.7×	6 0.2×	5	267
Celeste Rosencrance United States	8	282 0.7×	28 0.2×	63 0.6×	191 4.9×	25 0.7×	10	490
Diane M. Bushman United States	7	379 1.0×	173 1.4×	105 1.0×	10 0.3×	6 0.2×	7	556
Michelle C. Ward United States	10	413 1.0×	127 1.0×	39 0.4×	26 0.7×	13 0.4×	20	526
Qiye He China	14	636 1.6×	70 0.6×	76 0.7×	22 0.6×	12 0.3×	36	761

Countries citing papers authored by Ryan M. Mulqueen

Since Specialization

Citations

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

Fields of papers citing papers by Ryan M. Mulqueen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan M. Mulqueen

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

All Works

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9 of 9 papers shown

1.

Mulqueen, Ryan M., Francesca Polverino, James J. Galligan, et al.. (2024). txci-ATAC-seq: a massive-scale single-cell technique to profile chromatin accessibility. Genome biology. 25(1). 78–78. 8 indexed citations

2.

Mohammed, Hisham, et al.. (2023). Abstract 5288: Single-cell multiomics reveal divergent transcriptional and epigenetic cell states in breast cancer. Cancer Research. 83(7_Supplement). 5288–5288. 1 indexed citations

3.

Nichols, Ruth V., Brendan L. O’Connell, Ryan M. Mulqueen, et al.. (2022). High-throughput robust single-cell DNA methylation profiling with sciMETv2. Nature Communications. 13(1). 7627–7627. 24 indexed citations

4.

Chitsazan, Alex, et al.. (2022). Estrogen regulates divergent transcriptional and epigenetic cell states in breast cancer. Nucleic Acids Research. 50(20). 11492–11508. 13 indexed citations

5.

Mulqueen, Ryan M., Dmitry Pokholok, Brendan L. O’Connell, et al.. (2021). High-content single-cell combinatorial indexing. Nature Biotechnology. 39(12). 1574–1580. 54 indexed citations

6.

Mulqueen, Ryan M., Kristof Törkenczy, Andrew Nishida, et al.. (2021). Spatially mapped single-cell chromatin accessibility. Nature Communications. 12(1). 1274–1274. 53 indexed citations

7.

Sinnamon, John R., Kristof Törkenczy, Michael W. Linhoff, et al.. (2019). The accessible chromatin landscape of the murine hippocampus at single-cell resolution. Genome Research. 29(5). 857–869. 42 indexed citations

8.

Mulqueen, Ryan M., Dmitry Pokholok, Steven Norberg, et al.. (2018). Highly scalable generation of DNA methylation profiles in single cells. Nature Biotechnology. 36(5). 428–431. 167 indexed citations

9.

Barnard, Rebecca, Yannis Duffourd, Ryan M. Mulqueen, et al.. (2017). Exonic Mosaic Mutations Contribute Risk for Autism Spectrum Disorder. The American Journal of Human Genetics. 101(3). 369–390. 114 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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