Peter Smibert
- Immunology top 0.2%
- Cancer Research top 0.2%
- MicroRNA in disease regulation 10
- Biophysics top 0.1%
- Molecular Biology top 0.2%
- Single-cell and spatial transcriptomics 17
- CRISPR and Genetic Engineering 11
- RNA Research and Splicing 11
- RNA modifications and cancer 6
- Circular RNAs in diseases 4
- Cancer-related gene regulation 3
- Neurology top 0.5%
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- Chromosomal and Genetic Variations 3
- Co-authors
- Rahul SatijaEfthymia PapalexiAndrew ButlerPaul HoffmanMarlon StoeckiusChristoph HafemeisterWilliam M. MauckYuhan Hao
- Cited by
- ImmunologyCancer ResearchBiophysics
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Peter Smibert
43 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Immunology 6.1k
- Cancer Research 3.5k
- Biophysics 1.2k
- Molecular Biology 13.2k
- Neurology 1.2k
Countries citing papers authored by Peter Smibert
This map shows the geographic impact of Peter Smibert'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 Peter Smibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Smibert more than expected).
Fields of papers citing papers by Peter Smibert
This network shows the impact of papers produced by Peter Smibert. 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 Peter Smibert. The network helps show where Peter Smibert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Smibert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 84 | |
| 3 | 2022 | 56 | |
| 4 | 2022 | 47 | |
| 5 | 2022 | 66 | |
| 6 | 2021 | 45 | |
| 7 | 2021 | 104 | |
| 8 | 2021 | 64 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 348 | |
| 11 | Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cellsbreakdown → | 2019 | 305 |
| 12 | 2019 | 1 | |
| 13 | Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomicsbreakdown → | 2018 | 552 |
| 14 | Simultaneous epitope and transcriptome measurement in single cellsbreakdown → | 2017 | 1786 |
| 15 | 2013 | 115 | |
| 16 | 2013 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2011 | 25 | |
| 19 | 2010 | 35 | |
| 20 | 2009 | 68 |
About Peter Smibert
Peter Smibert is a scholar working on Cancer Research, Biophysics, Molecular Biology, Immunology and Genetics, having authored 45 papers that have together received 19.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), CRISPR and Genetic Engineering (11 papers), RNA Research and Splicing (11 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (4 papers), Chromosomal and Genetic Variations (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Immunology (6.1k citations), Cancer Research (3.5k citations), Biophysics (1.2k citations), Molecular Biology (13.2k citations) and Neurology (1.2k citations). Peter Smibert has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Rahul Satija, Efthymia Papalexi, Andrew Butler, Paul Hoffman, Marlon Stoeckius, Christoph Hafemeister, William M. Mauck, Yuhan Hao, Tim Stuart and Brian Houck‐Loomis. Their work appears in journals such as Nature Biotechnology, Nature Methods, Blood, Cell Reports and Cell.
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.