Allison Coté

1.2k total citations
12 papers, 755 citations indexed

About

Allison Coté is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Allison Coté has authored 12 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 1 paper in Cell Biology and 1 paper in Genetics. Recurrent topics in Allison Coté's work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (3 papers). Allison Coté is often cited by papers focused on RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers) and RNA modifications and cancer (3 papers). Allison Coté collaborates with scholars based in United States and China. Allison Coté's co-authors include Arjun Raj, Edward S. Boyden, Asmamaw T. Wassie, Shahar Alon, Shoh Asano, Anubhav Sinha, Evan R Daugharthy, Fei Chen, George M. Church and Adam Marblestone and has published in prestigious journals such as Science, Nature Communications and Immunity.

In The Last Decade

Allison Coté

12 papers receiving 748 citations

Peers

Allison Coté

MB

BIOPH

BE

CB

SB

Ons M’Saad United States

Leila Nahidiazar Netherlands

Riccardo Maraspini Germany

Shama Sograte‐Idrissi Germany

Mayu Sugiyama Japan

Marion Lang Germany

Gregory Brittingham United States

Sébastien Herbert France

Zachary Katz United States

Ons M’Saad United States

Allison Coté

260 ×0.4

MB

117 ×0.7

BIOPH

40 ×0.5

BE

138 ×2.2

CB

59 ×1.1

SB

Citations per year, relative to Allison Coté Allison Coté (= 1×) peers Ons M’Saad

Countries citing papers authored by Allison Coté

Since Specialization

Citations

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

Fields of papers citing papers by Allison Coté

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Coté

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

All Works

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12 of 12 papers shown

1.

Coté, Allison, Ian Dardani, Margaret C. Dunagin, et al.. (2024). Post-transcriptional splicing can occur in a slow-moving zone around the gene. eLife. 12. 5 indexed citations

2.

Coté, Allison, Ian Dardani, Margaret C. Dunagin, et al.. (2023). Post-transcriptional splicing can occur in a slow-moving zone around the gene. eLife. 12. 5 indexed citations

3.

Jiang, Connie, Yogesh Goyal, Naveen Jain, et al.. (2022). Cell type determination for cardiac differentiation occurs soon after seeding of human-induced pluripotent stem cells. Genome biology. 23(1). 90–90. 11 indexed citations

4.

Luan, Jing, Marit W. Vermunt, Camille M. Syrett, et al.. (2022). CTCF blocks antisense transcription initiation at divergent promoters. Nature Structural & Molecular Biology. 29(11). 1136–1144. 15 indexed citations

5.

Coté, Allison, Son C. Nguyen, Liguo Zhang, et al.. (2021). p53 mediates target gene association with nuclear speckles for amplified RNA expression. Molecular Cell. 81(8). 1666–1681.e6. 64 indexed citations

6.

Fasolino, Maria, Naomi Goldman, Wenliang Wang, et al.. (2020). Genetic Variation in Type 1 Diabetes Reconfigures the 3D Chromatin Organization of T Cells and Alters Gene Expression. Immunity. 52(2). 257–274.e11. 42 indexed citations

7.

Sanford, Eric M., Benjamin Emert, Allison Coté, & Arjun Raj. (2020). Gene regulation gravitates toward either addition or multiplication when combining the effects of two signals. eLife. 9. 18 indexed citations

8.

Rouhanifard, Sara H., Ian A. Mellis, Margaret C. Dunagin, et al.. (2019). Correction: Amendments: Author Correction: ClampFISH detects individual nucleic acid molecules using click chemistry–based amplification. Nature Biotechnology. 37(1). 102–102. 16 indexed citations

9.

Rouhanifard, Sara H., Ian A. Mellis, Margaret C. Dunagin, et al.. (2018). ClampFISH detects individual nucleic acid molecules using click chemistry–based amplification. Nature Biotechnology. 37(1). 84–89. 106 indexed citations

10.

Palozola, Katherine C., Greg Donahue, Hong Liu, et al.. (2017). Mitotic transcription and waves of gene reactivation during mitotic exit. Science. 358(6359). 119–122. 168 indexed citations

11.

Chen, Fei, Asmamaw T. Wassie, Allison Coté, et al.. (2016). Nanoscale imaging of RNA with expansion microscopy. Nature Methods. 13(8). 679–684. 268 indexed citations

12.

Coté, Allison, Megan J. Farrell, Patrick D. McClanahan, et al.. (2016). Single-cell differences in matrix gene expression do not predict matrix deposition. Nature Communications. 7(1). 10865–10865. 37 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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