Josh Moore
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 2%
Papers in
- Biophysics 24
- Cell Image Analysis Techniques 24
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- Scientific Computing and Data Management 12
- Co-authors
- Jason R. Swedlow (8 shared papers)Aleksandra Tarkowska (4 shared papers)Chris Allan (6 shared papers)Jean‐Marie Burel (6 shared papers)William J. M. Moore (5 shared papers)Melissa Linkert (5 shared papers)Brian Loranger (2 shared papers)Donald MacDonald (2 shared papers)
- Journals
- Nature Methods (9 papers)The Journal of Cell Biology (2 papers)F1000Research (2 papers)Journal of Microscopy (2 papers)Solar Energy Materials and Solar Cells (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Josh Moore
28 papers receiving 2.0k citations
Josh Moore's Hit Papers
Peers
Comparison fields: 5 of 137
- Biophysics 950
- Structural Biology 95
- Information Systems and Management 233
- Aging 29
- Molecular Biology 1.1k
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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metadata matters: access to image data in the real world Hit paper breakdown → | 2010 | 758 |
| 2 | 2012 | 446 | |
| 3 | 2017 | 200 | |
| 4 | 2021 | 105 | |
| 5 | SpatialData: an open and universal data framework for spatial omics Hit paper breakdown → | 2024 | 81 |
| 6 | 2021 | 79 | |
| 7 | 2023 | 64 | |
| 8 | 2024 | 64 | |
| 9 | 2015 | 39 | |
| 10 | 2019 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2008 | 27 | |
| 13 | 2020 | 25 | |
| 14 | 2015 | 19 | |
| 15 | 2023 | 19 | |
| 16 | 2024 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2013 | 9 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Josh Moore
Josh Moore is a scholar working on Biophysics, Information Systems and Management, Molecular Biology, Information Systems and Polymers and Plastics, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (24 papers), Genetics, Bioinformatics, and Biomedical Research (13 papers), Scientific Computing and Data Management (12 papers), Single-cell and spatial transcriptomics (10 papers), Research Data Management Practices (3 papers), AI in cancer detection (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Biomedical and Engineering Education (2 papers). The work is most often cited by research in Biophysics (950 citations), Structural Biology (95 citations), Information Systems and Management (233 citations), Aging (29 citations) and Molecular Biology (1.1k citations). Josh Moore has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jason R. Swedlow, Aleksandra Tarkowska, Chris Allan, Jean‐Marie Burel, William J. M. Moore, Melissa Linkert, Brian Loranger, Donald MacDonald, Andrew J. Patterson and Mike Rossner. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, F1000Research, Journal of Microscopy and Solar Energy Materials and Solar Cells.
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.