Josh Moore
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
- Biophysics 12
- Cell Image Analysis Techniques 12
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- Genetics, Bioinformatics, and Biomedical Research 6
- Single-cell and spatial transcriptomics 4
- Biomedical Text Mining and Ontologies 2
- Co-authors
- Jason R. Swedlow (8 shared papers)Aleksandra Tarkowska (4 shared papers)Jean‐Marie Burel (6 shared papers)Chris Allan (6 shared papers)Melissa Linkert (5 shared papers)William J. Moore (5 shared papers)Donald MacDonald (2 shared papers)Brian Loranger (2 shared papers)
- Journals
- Nature Methods (2 papers)Mammalian Genome (1 paper)Journal of Polymer Research (1 paper)The Journal of Cell Biology (1 paper)EMBO Reports (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Josh Moore
17 papers receiving 1.1k citations
Josh Moore's Hit Papers
Peers
Comparison fields: 5 of 128
- Biophysics 511
- Structural Biology 47
- Information Systems and Management 87
- Aging 20
- Media Technology 73
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-authors
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 | Metadata matters: access to image data in the real world Hit paper breakdown → | 2010 | 708 |
| 2 | 2017 | 169 | |
| 3 | 2021 | 77 | |
| 4 | 2019 | 31 | |
| 5 | 2015 | 30 | |
| 6 | 2008 | 26 | |
| 7 | 2015 | 20 | |
| 8 | 2015 | 14 | |
| 9 | 2013 | 9 | |
| 10 | 2015 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2019 | 0 |
About Josh Moore
Josh Moore is a scholar working on Biophysics, Molecular Biology, Information Systems and Management, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (12 papers), Scientific Computing and Data Management (6 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers), Single-cell and spatial transcriptomics (4 papers), AI in cancer detection (3 papers), Conducting polymers and applications (2 papers), Research Data Management Practices (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Biophysics (511 citations), Structural Biology (47 citations), Information Systems and Management (87 citations), Aging (20 citations) and Media Technology (73 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, Melissa Linkert, William J. Moore, Donald MacDonald, Brian Loranger, Andrew Patterson and Kevin W. Eliceiri. Their work appears in journals such as Nature Methods, Mammalian Genome, Journal of Polymer Research, The Journal of Cell Biology and EMBO Reports.
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.