Finola E. Moore
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
-
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
-
- Zebrafish Biomedical Research Applications 7
- Microtubule and mitosis dynamics 2
- Co-authors
- David M. Langenau (10 shared papers)Richard I. Morimoto (1 shared paper)Heather R. Brignull (1 shared paper)Jessica S. Blackburn (5 shared papers)Sarah Martinez (3 shared papers)Riadh Lobbardi (6 shared papers)Qin Tang (5 shared papers)John C. Moore (4 shared papers)
- Journals
- The Journal of Experimental Medicine (3 papers)The Journal of Cell Biology (2 papers)Cancer Research (2 papers)Nature Methods (1 paper)Cell Division (1 paper)
- Partner nations
- United StatesSouth KoreaBelgium
In The Last Decade
Finola E. Moore
17 papers receiving 979 citations
Peers
Comparison fields: 5 of 90
- Aging 121
- Cell Biology 327
- Immunology 186
- Molecular Biology 583
- Gastroenterology 41
Countries citing papers authored by Finola E. Moore
This map shows the geographic impact of Finola E. 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 Finola E. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finola E. Moore more than expected).
Fields of papers citing papers by Finola E. Moore
This network shows the impact of papers produced by Finola E. 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 Finola E. Moore. The network helps show where Finola E. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Finola E. 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 | 2006 | 177 | |
| 2 | 2000 | 154 | |
| 3 | 2012 | 128 | |
| 4 | 2014 | 115 | |
| 5 | 2014 | 87 | |
| 6 | 2016 | 56 | |
| 7 | 2016 | 55 | |
| 8 | 2017 | 53 | |
| 9 | 2008 | 52 | |
| 10 | 2018 | 44 | |
| 11 | 2007 | 30 | |
| 12 | 2010 | 19 | |
| 13 | 2012 | 9 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2016 | 0 |
About Finola E. Moore
Finola E. Moore is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Cancer Research, having authored 18 papers that have together received 987 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Microtubule and mitosis dynamics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Aging (121 citations), Cell Biology (327 citations), Immunology (186 citations), Molecular Biology (583 citations) and Gastroenterology (41 citations). Finola E. Moore has collaborated with scholars based in United States, South Korea and Belgium. Frequent co-authors include David M. Langenau, Richard I. Morimoto, Heather R. Brignull, Jessica S. Blackburn, Sarah Martinez, Riadh Lobbardi, Qin Tang, John C. Moore, Susan E. Leeman and James T. Becker. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Cell Biology, Cancer Research, Nature Methods and Cell Division.
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.