Evan Murray
- Biophysics top 0.1%
- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 4
- Structural Biology top 2%
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 20
- Molecular Biology Techniques and Applications 3
- Extracellular vesicles in disease 2
- Gene Regulatory Network Analysis 2
- Cancer Research top 5%
- Immunology top 5%
- T-cell and B-cell Immunology 3
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- CAR-T cell therapy research 2
- Co-authors
- Fei ChenEvan Z. MacoskoAleksandrina GoevaRobert R. StickelsCharles VanderburgJoshua D. WelchSamuel G. RodriquesCaroline Martin
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Evan Murray
24 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Biophysics 1.1k
- Structural Biology 120
- Molecular Biology 3.3k
- Cancer Research 607
- Immunology 760
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 56 | |
| 6 | 2023 | 31 | |
| 7 | Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analysesbreakdown → | 2023 | 126 |
| 8 | 2022 | 47 | |
| 9 | 2022 | 79 | |
| 10 | 2022 | 36 | |
| 11 | 2022 | 114 | |
| 12 | 2021 | 141 | |
| 13 | 2021 | 27 | |
| 14 | 2021 | 155 | |
| 15 | 2021 | 6 | |
| 16 | Robust decomposition of cell type mixtures in spatial transcriptomicsbreakdown → | 2021 | 565 |
| 17 | Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2breakdown → | 2020 | 653 |
| 18 | Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolutionbreakdown → | 2019 | 1378 |
| 19 | 2016 | 305 | |
| 20 | 2015 | 166 |
About Evan Murray
Evan Murray is a scholar working on Biophysics, Structural Biology, Immunology, Molecular Biology and Neurology, having authored 25 papers that have together received 4.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (20 papers), Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Molecular Biology Techniques and Applications (3 papers), T-cell and B-cell Immunology (3 papers), Extracellular vesicles in disease (2 papers), CAR-T cell therapy research (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Biophysics (1.1k citations), Structural Biology (120 citations), Molecular Biology (3.3k citations), Cancer Research (607 citations) and Immunology (760 citations). Evan Murray has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Fei Chen, Evan Z. Macosko, Aleksandrina Goeva, Robert R. Stickels, Charles Vanderburg, Joshua D. Welch, Samuel G. Rodriques, Caroline Martin, Dylan Cable and Jilong Li. Their work appears in journals such as Nature Biotechnology, Nature Communications, Nature, Cell and Science.
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.