John C. Moore
Impact in
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
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- Aquaculture disease management and microbiota
Papers in
- Cell Biology 13
- Zebrafish Biomedical Research Applications 13
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- Single-cell and spatial transcriptomics 3
- Congenital heart defects research 3
- Angiogenesis and VEGF in Cancer 2
- Epigenetics and DNA Methylation 2
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Nathan D. Lawson (5 shared papers)David M. Langenau (8 shared papers)Albert D. Kim (1 shared paper)David Traver (1 shared paper)Wilson K. Clements (1 shared paper)Qin Tang (7 shared papers)Arndt F. Siekmann (2 shared papers)Riadh Lobbardi (5 shared papers)
- Journals
- Development (2 papers)The Journal of Experimental Medicine (2 papers)Nature Methods (1 paper)Nature Communications (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesPortugalCanada
In The Last Decade
John C. Moore
14 papers receiving 795 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 467
- Immunology 180
- Cancer Research 104
- Molecular Biology 510
- Hematology 53
Countries citing papers authored by John C. Moore
This map shows the geographic impact of John C. 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 John C. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Moore more than expected).
Fields of papers citing papers by John C. Moore
This network shows the impact of papers produced by John C. 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 John C. Moore. The network helps show where John C. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. 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 | 2011 | 180 | |
| 2 | 2017 | 118 | |
| 3 | 2014 | 115 | |
| 4 | 2014 | 87 | |
| 5 | 2016 | 70 | |
| 6 | 2016 | 56 | |
| 7 | 2016 | 55 | |
| 8 | 2016 | 33 | |
| 9 | 2013 | 27 | |
| 10 | 2016 | 21 | |
| 11 | 2011 | 20 | |
| 12 | 2014 | 14 | |
| 13 | Algèbres de Hopf universelles | 1960 | 4 |
| 14 | 1957 | 3 | |
| 15 | 2016 | 0 |
About John C. Moore
John C. Moore is a scholar working on Cell Biology, Molecular Biology, Immunology, Oncology and Mathematical Physics, having authored 15 papers that have together received 803 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (3 papers), Immune Cell Function and Interaction (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cell Biology (467 citations), Immunology (180 citations), Cancer Research (104 citations), Molecular Biology (510 citations) and Hematology (53 citations). John C. Moore has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Nathan D. Lawson, David M. Langenau, Albert D. Kim, David Traver, Wilson K. Clements, Qin Tang, Arndt F. Siekmann, Riadh Lobbardi, Inês M. Tenente and Finola E. Moore. Their work appears in journals such as Development, The Journal of Experimental Medicine, Nature Methods, Nature Communications and The Journal of Cell Biology.
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.