John C. Moore
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
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- Aquaculture disease management and microbiota
Papers in
- Cell Biology 12
- Zebrafish Biomedical Research Applications 12
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- Congenital heart defects research 3
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Epigenetics and DNA Methylation 2
- Developmental Biology and Gene Regulation 2
- Co-authors
- Nathan D. Lawson (5 shared papers)David M. Langenau (7 shared papers)Wilson K. Clements (1 shared paper)Albert D. Kim (1 shared paper)David J. Traver (1 shared paper)Qin Tang (6 shared papers)Arndt F. Siekmann (2 shared papers)Riadh Lobbardi (4 shared papers)
- Journals
- Development (2 papers)The Journal of Experimental Medicine (2 papers)Developmental Biology (1 paper)Molecular and Cellular Biology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesPortugalCanada
In The Last Decade
John C. Moore
14 papers receiving 842 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 489
- Immunology 187
- Cancer Research 115
- Molecular Biology 533
- Hematology 56
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 | 189 | |
| 2 | 2014 | 125 | |
| 3 | 2017 | 121 | |
| 4 | 2014 | 90 | |
| 5 | 2016 | 74 | |
| 6 | 2016 | 59 | |
| 7 | 2016 | 59 | |
| 8 | 2016 | 37 | |
| 9 | 2013 | 29 | |
| 10 | 2011 | 22 | |
| 11 | 2016 | 22 | |
| 12 | 2014 | 15 | |
| 13 | Algèbres de Hopf universelles | 1960 | 5 |
| 14 | 1957 | 4 |
About John C. Moore
John C. Moore is a scholar working on Cell Biology, Molecular Biology, Immunology, Biophysics and Oncology, having authored 14 papers that have together received 851 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Congenital heart defects research (3 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), CAR-T cell therapy research (2 papers), Epigenetics and DNA Methylation (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Cell Biology (489 citations), Immunology (187 citations), Cancer Research (115 citations), Molecular Biology (533 citations) and Hematology (56 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, Wilson K. Clements, Albert D. Kim, David J. Traver, Qin Tang, Arndt F. Siekmann, Riadh Lobbardi, Jessica S. Blackburn and Inês M. Tenente. Their work appears in journals such as Development, The Journal of Experimental Medicine, Developmental Biology, Molecular and Cellular Biology and Advances in experimental medicine and 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.