Hannah J. Perrin

684 total citations
3 papers, 27 citations indexed

About

Hannah J. Perrin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Hannah J. Perrin has authored 3 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Hannah J. Perrin's work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). Hannah J. Perrin is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). Hannah J. Perrin collaborates with scholars based in United States, Finland and Germany. Hannah J. Perrin's co-authors include Karen L. Mohlke, Markku Laakso, Martin Wabitsch, Swarooparani Vadlamudi, Gregory E. Crawford, Michael I. Love, Maren E. Cannon, Lingyun Song, Ying Wu and Alexias Safi and has published in prestigious journals such as Genome Research, PLoS Genetics and G3 Genes Genomes Genetics.

In The Last Decade

Hannah J. Perrin

2 papers receiving 27 citations

Peers

Hannah J. Perrin
Shirin C C Saverimuttu United Kingdom
Mital Vasoya United States
Deirdre Donnelly United Kingdom
Narges Rezaie United States
Mitchell Conery United States
Daria Rukina Switzerland
Christine N. Goldfarb United States
Hannah J. Perrin
Citations per year, relative to Hannah J. Perrin Hannah J. Perrin (= 1×) peers Shareef Khalid

Countries citing papers authored by Hannah J. Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Hannah J. Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah J. Perrin. 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 Hannah J. Perrin. The network helps show where Hannah J. Perrin may publish in the future.

Co-authorship network of co-authors of Hannah J. Perrin

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

All Works

3 of 3 papers shown
1.
Perrin, Hannah J., Swarooparani Vadlamudi, Amy S. Etheridge, et al.. (2025). Genetic effects on chromatin accessibility uncover mechanisms of liver gene regulation and quantitative traits. Genome Research. 35(7). 1485–1502.
2.
Perrin, Hannah J., Swarooparani Vadlamudi, Martin Wabitsch, et al.. (2021). Chromatin accessibility and gene expression during adipocyte differentiation identify context-dependent effects at cardiometabolic GWAS loci. PLoS Genetics. 17(10). e1009865–e1009865. 13 indexed citations
3.
Cannon, Maren E., Kristin L. Young, Hannah J. Perrin, et al.. (2019). Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits. G3 Genes Genomes Genetics. 9(8). 2521–2533. 14 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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