Vince Carey

1.3k total citations · 1 hit paper
4 papers, 512 citations indexed

About

Vince Carey is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Vince Carey has authored 4 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Neurology. Recurrent topics in Vince Carey's work include Single-cell and spatial transcriptomics (3 papers), Advanced Biosensing Techniques and Applications (1 paper) and Advancements in Photolithography Techniques (1 paper). Vince Carey is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Advanced Biosensing Techniques and Applications (1 paper) and Advancements in Photolithography Techniques (1 paper). Vince Carey collaborates with scholars based in United States, Switzerland and Italy. Vince Carey's co-authors include Levi Waldron, Martin Morgan, Davide Risso, Ludwig Geistlinger, Hervé Pagès, Wolfgang Huber, Mike L. Smith, Étienne Becht, Robert A. Amezquita and Raphaël Gottardo and has published in prestigious journals such as Bioinformatics, Nature Methods and Cancer Research.

In The Last Decade

Vince Carey

3 papers receiving 505 citations

Hit Papers

Orchestrating single-cell analysis with Bioconductor 2019 2026 2021 2023 2019 100 200 300 400

Peers

Vince Carey
Lambda Moses United States
Helena L. Crowell Switzerland
David DeTomaso United States
Vince Carey
Citations per year, relative to Vince Carey Vince Carey (= 1×) peers Katy Vandereyken

Countries citing papers authored by Vince Carey

Since Specialization
Citations

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

Fields of papers citing papers by Vince Carey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vince Carey

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

All Works

4 of 4 papers shown
1.
Carey, Vince, et al.. (2025). Tagging Bioconductor packages with EDAM. Front Matter.
2.
Amezquita, Robert A., Aaron T. L. Lun, Étienne Becht, et al.. (2019). Orchestrating single-cell analysis with Bioconductor. Nature Methods. 17(2). 137–145. 423 indexed citations breakdown →
3.
Du, Rose, Vince Carey, & Scott T. Weiss. (2019). deconvSeq: deconvolution of cell mixture distribution in sequencing data. Bioinformatics. 35(24). 5095–5102. 28 indexed citations
4.
Ramos, Marcel, Lucas Schiffer, Angela Re, et al.. (2017). Software for the Integration of Multiomics Experiments in Bioconductor. Cancer Research. 77(21). e39–e42. 61 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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