Dylan Cable

2.0k total citations · 1 hit paper
6 papers, 719 citations indexed

About

Dylan Cable is a scholar working on Molecular Biology, Immunology and Cognitive Neuroscience. According to data from OpenAlex, Dylan Cable has authored 6 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Cognitive Neuroscience. Recurrent topics in Dylan Cable's work include Single-cell and spatial transcriptomics (5 papers), Functional Brain Connectivity Studies (1 paper) and interferon and immune responses (1 paper). Dylan Cable is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Functional Brain Connectivity Studies (1 paper) and interferon and immune responses (1 paper). Dylan Cable collaborates with scholars based in United States. Dylan Cable's co-authors include Fei Chen, Evan Murray, Evan Z. Macosko, Luli S. Zou, Rafael A. Irizarry, Aleksandrina Goeva, Justin L. Gardner, Taosheng Liu, Vignesh Shanmugam and Haiqi Chen and has published in prestigious journals such as Nature, Journal of Neuroscience and Nature Biotechnology.

In The Last Decade

Dylan Cable

6 papers receiving 713 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.

Robust decomposition of cell type mixtures in spatial transcriptomics

2021 565 citations Dylan Cable, Evan Murray et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dylan Cable United States	5	576	181	112	100	63	6	719
Amer-Denis Akkad United States	5	483 0.8×	112 0.6×	27 0.2×	67 0.7×	69 1.1×	5	760
Stephen J. Fleming United States	6	483 0.8×	103 0.6×	28 0.3×	65 0.7×	68 1.1×	12	774
Petra Kukanja Sweden	9	515 0.9×	120 0.7×	50 0.4×	124 1.2×	38 0.6×	10	686
Helena Storvall Sweden	6	504 0.9×	48 0.3×	28 0.3×	93 0.9×	38 0.6×	6	575
Marek Bartošovič Sweden	9	1.1k 1.9×	110 0.6×	74 0.7×	365 3.6×	74 1.2×	11	1.3k
S. Tansu Bagdatli United States	5	624 1.1×	129 0.7×	48 0.4×	141 1.4×	45 0.7×	5	773
Daniel Haag Germany	12	572 1.0×	90 0.5×	8 0.1×	95 0.9×	107 1.7×	15	791
Tsukasa Kouno Japan	8	322 0.6×	191 1.1×	19 0.2×	64 0.6×	65 1.0×	11	569
Anna Cuomo Australia	7	425 0.7×	46 0.3×	74 0.7×	79 0.8×	29 0.5×	13	505
Cyril Esnault France	11	658 1.1×	54 0.3×	16 0.1×	81 0.8×	90 1.4×	16	910

Countries citing papers authored by Dylan Cable

Since Specialization

Citations

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

Fields of papers citing papers by Dylan Cable

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Cable

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Zou, Luli S., Dylan Cable, Irving Barrera, et al.. (2024). Detection of allele-specific expression in spatial transcriptomics with spASE. Genome biology. 25(1). 180–180. 6 indexed citations

2.

Balderrama, Karol S., Naeem Nadaf, Evan Murray, et al.. (2023). The molecular cytoarchitecture of the adult mouse brain. Nature. 624(7991). 333–342. 56 indexed citations

3.

Cable, Dylan, Evan Murray, Vignesh Shanmugam, et al.. (2022). Cell type-specific inference of differential expression in spatial transcriptomics. Nature Methods. 19(9). 1076–1087. 65 indexed citations

4.

Cable, Dylan, Rafael A. Irizarry, & Fei Chen. (2022). Cell type-specific differential expression in Alzheimer’s disease and cancer using spatial transcriptomics. The Journal of Immunology. 208(Supplement_1). 172.18–172.18. 1 indexed citations

5.

Cable, Dylan, Evan Murray, Luli S. Zou, et al.. (2021). Robust decomposition of cell type mixtures in spatial transcriptomics. Nature Biotechnology. 40(4). 517–526. 565 indexed citations breakdown →

6.

Liu, Taosheng, Dylan Cable, & Justin L. Gardner. (2017). Inverted Encoding Models of Human Population Response Conflate Noise and Neural Tuning Width. Journal of Neuroscience. 38(2). 398–408. 26 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