Josh Moore
- Biophysics top 0.5%
- Cell Image Analysis Techniques 11
- Structural Biology top 5%
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- Scientific Computing and Data Management 4
- Aging top 10%
- Media Technology top 5%
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- Genetics, Bioinformatics, and Biomedical Research 5
- Single-cell and spatial transcriptomics 4
- Biomedical Text Mining and Ontologies 2
- Advanced Biosensing Techniques and Applications 1
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- AI in cancer detection 3
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- Conducting polymers and applications 2
- Co-authors
- Jason R. SwedlowAleksandra TarkowskaJean‐Marie BurelChris AllanWilliam J. MooreMelissa LinkertDonald MacDonaldBrian Loranger
- Journals
- Nature Methods (2 papers)The Journal of Cell Biology (1 paper)Solar Energy Materials and Solar Cells (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Josh Moore
14 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Biophysics 517
- Structural Biology 47
- Information Systems and Management 78
- Aging 19
- Media Technology 79
Countries citing papers authored by Josh Moore
This map shows the geographic impact of Josh Moore'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 Josh Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh Moore more than expected).
Fields of papers citing papers by Josh Moore
This network shows the impact of papers produced by Josh Moore. 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 Josh Moore. The network helps show where Josh Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Josh Moore, 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 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 66 | |
| 6 | 2019 | 0 | |
| 7 | 2019 | 27 | |
| 8 | 2017 | 160 | |
| 9 | 2015 | 28 | |
| 10 | 2015 | 20 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 14 | |
| 13 | 2013 | 9 | |
| 14 | 2013 | 3 | |
| 15 | Metadata matters: access to image data in the real worldbreakdown → | 2010 | 674 |
| 16 | 2008 | 24 |
About Josh Moore
Josh Moore is a scholar working on Biophysics, Information Systems and Management and Electrochemistry, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (11 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers), Single-cell and spatial transcriptomics (4 papers), Scientific Computing and Data Management (4 papers), AI in cancer detection (3 papers), Conducting polymers and applications (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (517 citations), Structural Biology (47 citations) and Information Systems and Management (78 citations). Josh Moore has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jason R. Swedlow, Aleksandra Tarkowska, Jean‐Marie Burel, Chris Allan, William J. Moore, Melissa Linkert, Donald MacDonald, Brian Loranger, Andrew Patterson and Kevin W. Eliceiri. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, Solar Energy Materials and Solar Cells, Journal of Cell Science and Journal of Polymer Research.
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.