Neil Moore
Impact in
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
-
- Plant and fungal interactions
- Botanical Research and Chemistry
Papers in
-
- Genomics and Phylogenetic Studies 7
- Gene expression and cancer classification 2
-
- Advanced Database Systems and Queries 3
- Co-authors
- Christopher L. Schardl (12 shared papers)Jerzy W. Jaromczyk (15 shared papers)Ester Buiate (2 shared papers)Lisa J. Vaillancourt (2 shared papers)Jolanta Jaromczyk (3 shared papers)Daniel G. Panaccione (1 shared paper)Jennifer Webb (1 shared paper)Johanna E. Takach (1 shared paper)
- Journals
- BMC Bioinformatics (7 papers)BMC Genomics (2 papers)Information and Computation (1 paper)International Journal on Digital Libraries (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesQatarNetherlands
In The Last Decade
Neil Moore
20 papers receiving 328 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 108
- Ecology, Evolution, Behavior and Systematics 130
- Pharmacology 84
- Plant Science 136
- Molecular Biology 105
Countries citing papers authored by Neil Moore
This map shows the geographic impact of Neil 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 Neil Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Moore more than expected).
Fields of papers citing papers by Neil Moore
This network shows the impact of papers produced by Neil 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 Neil Moore. The network helps show where Neil Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 82 | |
| 2 | 2017 | 65 | |
| 3 | 2016 | 51 | |
| 4 | 2017 | 51 | |
| 5 | 2016 | 35 | |
| 6 | 2005 | 8 | |
| 7 | 2010 | 8 | |
| 8 | 2009 | 6 | |
| 9 | 2013 | 4 | |
| 10 | 2005 | 4 | |
| 11 | 2010 | 3 | |
| 12 | Geometric data structures for multihierarchical XML tagging of manuscripts | 2004 | 3 |
| 13 | 2014 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2018 | 2 | |
| 16 | Database Support for Image-Based Electronic Editions | 2004 | 2 |
| 17 | 2018 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2013 | 1 |
About Neil Moore
Neil Moore is a scholar working on Molecular Biology, Computer Networks and Communications, Ecology, Evolution, Behavior and Systematics, Cell Biology and Computational Theory and Mathematics, having authored 24 papers that have together received 334 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Plant and fungal interactions (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Mathematics, Computing, and Information Processing (4 papers), Advanced Database Systems and Queries (3 papers), Digital Humanities and Scholarship (3 papers), Gene expression and cancer classification (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Cell Biology (108 citations), Ecology, Evolution, Behavior and Systematics (130 citations), Pharmacology (84 citations), Plant Science (136 citations) and Molecular Biology (105 citations). Neil Moore has collaborated with scholars based in United States, Qatar and Netherlands. Frequent co-authors include Christopher L. Schardl, Jerzy W. Jaromczyk, Ester Buiate, Lisa J. Vaillancourt, Jolanta Jaromczyk, Daniel G. Panaccione, Jennifer Webb, Johanna E. Takach, Nikki D. Charlton and Carolyn A. Young. Their work appears in journals such as BMC Bioinformatics, BMC Genomics, Information and Computation, International Journal on Digital Libraries and G3 Genes Genomes Genetics.
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.