Andrew Butler

52.6k citations
12 papers · 16.1k indexed · 3 hit papers · h-index 10
Topics
Single-cell and spatial transcriptomics (10 papers)interferon and immune responses (2 papers)Influenza Virus Research Studies (2 papers)

In The Last Decade

Andrew Butler

12 papers receiving 16.1k citations

Hit Papers

Comprehensive Integration of Single-Cell Data20172026202020232019201820172.5k5.0k7.5k

Peers

Andrew Butler
Comparison fields: 5 of 153
  • Molecular Biology 10.4k
  • Immunology 5.2k
  • Cancer Research 2.5k
  • Oncology 2.3k
  • Pulmonary and Respiratory Medicine 1.3k
Replace Efthymia Papalexi with:
Efthymia Papalexi United States
Peter Smibert United States
Christoph Hafemeister United States
Allon M. Klein United States
Tim Stuart United States
Marlon Stoeckius United States
Yuhan Hao United States
Rickard Sandberg Sweden
William M. Mauck United States
Berthold Göttgens United Kingdom
Andrew Butler relative to Efthymia Papalexi United States Efthymia Papalexi's profile →
Citations per field
00.5×5.5×
Efthymia Papalexi · 1×
Citations per year

Countries citing papers authored by Andrew Butler

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Butler

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 2
3 104
4 19
5 62
6
Comprehensive Integration of Single-Cell Databreakdown →
7937
7 240
8 291
9
Integrating single-cell transcriptomic data across different conditions, technologies, and speciesbreakdown →
6774
10 100
11 5
12
Seq-Well: portable, low-cost RNA sequencing of single cells at high throughputbreakdown →
593

About Andrew Butler

Andrew Butler is a scholar working on Immunology, Biophysics and Molecular Biology, having authored 12 papers that have together received 16.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), interferon and immune responses (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Immunology (5.2k citations), Cancer Research (2.5k citations) and Biophysics (910 citations). Andrew Butler has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Rahul Satija, Efthymia Papalexi, Peter Smibert, Paul Hoffman, Christoph Hafemeister, William M. Mauck, Yuhan Hao, Tim Stuart, Marlon Stoeckius and Bryan D. Bryson. Their work appears in journals such as Nature, Cell and Nature Communications.

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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