Jonathan D. Moore
Impact in
- Insect Science top 1%
- Insect and Pesticide Research
- Cell Biology top 2%
- Microtubule and mitosis dynamics
Papers in
-
- Fungal and yeast genetics research 8
- Ubiquitin and proteasome pathways 5
- Genomics and Phylogenetic Studies 5
-
- Plant Molecular Biology Research 6
- Plant nutrient uptake and metabolism 5
- Co-authors
- Sally Kornbluth (4 shared papers)Jing Yang (2 shared papers)Sharyn A. Endow (2 shared papers)David J. Evans (5 shared papers)E. V. Ryabov (4 shared papers)Nigel J. Burroughs (5 shared papers)Yi‐Wah Chan (5 shared papers)Katherine Chen (1 shared paper)
- Journals
- Biochemical Journal (7 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)Scientific Reports (4 papers)The Plant Journal (3 papers)Gene (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jonathan D. Moore
114 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 179
- Insect Science 561
- Cell Biology 719
- Molecular Biology 3.0k
- Reproductive Medicine 271
- Obstetrics and Gynecology 216
Countries citing papers authored by Jonathan D. Moore
This map shows the geographic impact of Jonathan D. 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 Jonathan D. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Moore more than expected).
Fields of papers citing papers by Jonathan D. Moore
This network shows the impact of papers produced by Jonathan D. 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 Jonathan D. Moore. The network helps show where Jonathan D. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 400 | |
| 2 | 2014 | 307 | |
| 3 | 2014 | 288 | |
| 4 | 1998 | 285 | |
| 5 | 2014 | 249 | |
| 6 | 2014 | 217 | |
| 7 | 1999 | 187 | |
| 8 | 2013 | 185 | |
| 9 | 2003 | 175 | |
| 10 | 2015 | 163 | |
| 11 | 1996 | 156 | |
| 12 | 2010 | 144 | |
| 13 | 2007 | 122 | |
| 14 | 2011 | 121 | |
| 15 | 2013 | 108 | |
| 16 | 2019 | 105 | |
| 17 | 2003 | 103 | |
| 18 | 2013 | 92 | |
| 19 | 2015 | 90 | |
| 20 | 2014 | 87 |
About Jonathan D. Moore
Jonathan D. Moore is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Oncology, having authored 119 papers that have together received 6.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Fungal and yeast genetics research (8 papers), Plant Molecular Biology Research (6 papers), Enzyme Structure and Function (6 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (5 papers), Genomics and Phylogenetic Studies (5 papers) and Plant nutrient uptake and metabolism (5 papers). The work is most often cited by research in Insect Science (561 citations), Cell Biology (719 citations), Molecular Biology (3.0k citations), Reproductive Medicine (271 citations) and Obstetrics and Gynecology (216 citations). Jonathan D. Moore has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sally Kornbluth, Jing Yang, Sharyn A. Endow, David J. Evans, E. V. Ryabov, Nigel J. Burroughs, Yi‐Wah Chan, Katherine Chen, Antonio D. Lassaletta and John J. Tyson. Their work appears in journals such as Biochemical Journal, Bioorganic & Medicinal Chemistry Letters, Scientific Reports, The Plant Journal and Gene.
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.