Evan Murray
Impact in
- Biophysics top 0.1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 2%
Papers in
-
- Single-cell and spatial transcriptomics 21
- Gene expression and cancer classification 3
- Molecular Biology Techniques and Applications 3
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- T-cell and B-cell Immunology 3
- Co-authors
- Fei Chen (23 shared papers)Evan Z. Macosko (12 shared papers)Aleksandrina Goeva (2 shared papers)Robert R. Stickels (3 shared papers)Charles Vanderburg (2 shared papers)Samuel G. Rodriques (1 shared paper)Joshua D. Welch (1 shared paper)Caroline Martin (1 shared paper)
- Journals
- Nature Biotechnology (5 papers)Nature Communications (2 papers)Genome biology (2 papers)Nature (2 papers)Cell (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Evan Murray
26 papers receiving 4.8k citations
Evan Murray's Hit Papers
Peers
Comparison fields: 5 of 143
- Biophysics 1.1k
- Structural Biology 125
- Molecular Biology 3.5k
- Cancer Research 579
- Immunology 722
Countries citing papers authored by Evan Murray
This map shows the geographic impact of Evan Murray'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 Evan Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Murray more than expected).
Fields of papers citing papers by Evan Murray
This network shows the impact of papers produced by Evan Murray. 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 Evan Murray. The network helps show where Evan Murray may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Murray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution Hit paper breakdown → | 2019 | 1466 |
| 2 | Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2 Hit paper breakdown → | 2020 | 708 |
| 3 | Robust decomposition of cell type mixtures in spatial transcriptomics Hit paper breakdown → | 2021 | 652 |
| 4 | 2015 | 346 | |
| 5 | 2016 | 326 | |
| 6 | 2015 | 173 | |
| 7 | 2021 | 168 | |
| 8 | Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analyses Hit paper breakdown → | 2023 | 147 |
| 9 | 2021 | 145 | |
| 10 | 2022 | 127 | |
| 11 | 2022 | 89 | |
| 12 | 2021 | 86 | |
| 13 | 2022 | 83 | |
| 14 | 2023 | 74 | |
| 15 | 2022 | 50 | |
| 16 | 2022 | 42 | |
| 17 | 2023 | 39 | |
| 18 | 2023 | 35 | |
| 19 | 2021 | 27 | |
| 20 | 2023 | 14 |
About Evan Murray
Evan Murray is a scholar working on Molecular Biology, Immunology, Biophysics, Cancer Research and Oncology, having authored 28 papers that have together received 4.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (21 papers), Cell Image Analysis Techniques (5 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Gene expression and cancer classification (3 papers), T-cell and B-cell Immunology (3 papers), Molecular Biology Techniques and Applications (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biophysics (1.1k citations), Structural Biology (125 citations), Molecular Biology (3.5k citations), Cancer Research (579 citations) and Immunology (722 citations). Evan Murray has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Fei Chen, Evan Z. Macosko, Aleksandrina Goeva, Robert R. Stickels, Charles Vanderburg, Samuel G. Rodriques, Joshua D. Welch, Caroline Martin, Dylan Cable and Rafael A. Irizarry. Their work appears in journals such as Nature Biotechnology, Nature Communications, Genome biology, Nature 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.