Tim Stuart
Impact in
- Immunology top 0.5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Biophysics top 0.2%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 10
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Genomics and Phylogenetic Studies 2
- RNA Research and Splicing 2
-
- Plant Molecular Biology Research 2
- Chromosomal and Genetic Variations 2
- Co-authors
- Rahul Satija (9 shared papers)Yuhan Hao (3 shared papers)Paul Hoffman (2 shared papers)William M. Mauck (3 shared papers)Peter Smibert (2 shared papers)Andrew Butler (3 shared papers)Marlon Stoeckius (1 shared paper)Efthymia Papalexi (1 shared paper)
- Journals
- Nature Biotechnology (3 papers)Nature Plants (2 papers)Nature Reviews Genetics (2 papers)Cell (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Tim Stuart
16 papers receiving 11.4k citations
Tim Stuart's Hit Papers
Peers
Comparison fields: 5 of 153
- Immunology 3.2k
- Biophysics 726
- Cancer Research 1.7k
- Molecular Biology 7.4k
- Neurology 720
Countries citing papers authored by Tim Stuart
This map shows the geographic impact of Tim Stuart'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 Tim Stuart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Stuart more than expected).
Fields of papers citing papers by Tim Stuart
This network shows the impact of papers produced by Tim Stuart. 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 Tim Stuart. The network helps show where Tim Stuart may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Stuart, 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 | Comprehensive Integration of Single-Cell Data Hit paper breakdown → | 2019 | 7937 |
| 2 | Dictionary learning for integrative, multimodal and scalable single-cell analysis Hit paper breakdown → | 2023 | 1325 |
| 3 | Integrative single-cell analysis Hit paper breakdown → | 2019 | 872 |
| 4 | Single-cell chromatin state analysis with Signac Hit paper breakdown → | 2021 | 673 |
| 5 | 2016 | 150 | |
| 6 | 2016 | 141 | |
| 7 | 2022 | 66 | |
| 8 | 2019 | 62 | |
| 9 | 2019 | 56 | |
| 10 | 2022 | 47 | |
| 11 | 2016 | 28 | |
| 12 | 2019 | 27 | |
| 13 | 2024 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2018 | 6 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Tim Stuart
Tim Stuart is a scholar working on Molecular Biology, Plant Science, Cancer Research, Ecology and Health, Toxicology and Mutagenesis, having authored 18 papers that have together received 11.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Plant Molecular Biology Research (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA Research and Splicing (2 papers), Chromosomal and Genetic Variations (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Immunology (3.2k citations), Biophysics (726 citations), Cancer Research (1.7k citations), Molecular Biology (7.4k citations) and Neurology (720 citations). Tim Stuart has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Rahul Satija, Yuhan Hao, Paul Hoffman, William M. Mauck, Peter Smibert, Andrew Butler, Marlon Stoeckius, Efthymia Papalexi, Christoph Hafemeister and Avi Srivastava. Their work appears in journals such as Nature Biotechnology, Nature Plants, Nature Reviews Genetics, Cell and Nature Methods.
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.