Jonathan D. Moore
Impact in
- Insect Science top 1%
- Insect and Pesticide Research
- Molecular Biology top 2%
Papers in
-
- Fungal and yeast genetics research 8
- Genomics and Phylogenetic Studies 7
-
- Plant Molecular Biology Research 7
- Plant Virus Research Studies 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)Wei Sha (1 shared paper)
- Journals
- Biochemical Journal (7 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)Scientific Reports (4 papers)The Plant Journal (4 papers)BMC Genomics (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jonathan D. Moore
113 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 175
- Insect Science 552
- Molecular Biology 3.1k
- Cell Biology 713
- Reproductive Medicine 349
- Obstetrics and Gynecology 272
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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 382 | |
| 2 | 2014 | 302 | |
| 3 | 1998 | 278 | |
| 4 | 2014 | 278 | |
| 5 | 2014 | 232 | |
| 6 | 1999 | 185 | |
| 7 | 2013 | 168 | |
| 8 | 2003 | 164 | |
| 9 | 2015 | 154 | |
| 10 | 1996 | 149 | |
| 11 | 2010 | 139 | |
| 12 | 2007 | 117 | |
| 13 | 2011 | 107 | |
| 14 | 2003 | 102 | |
| 15 | 2019 | 101 | |
| 16 | 2013 | 92 | |
| 17 | 2013 | 90 | |
| 18 | 2014 | 83 | |
| 19 | 2013 | 83 | |
| 20 | 2000 | 81 |
About Jonathan D. Moore
Jonathan D. Moore is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Oncology, having authored 117 papers that have together received 5.9k 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 (7 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Structure and Function (6 papers), Plant Virus Research Studies (6 papers), Reproductive System and Pregnancy (6 papers) and Plant nutrient uptake and metabolism (5 papers). The work is most often cited by research in Insect Science (552 citations), Molecular Biology (3.1k citations), Cell Biology (713 citations), Reproductive Medicine (349 citations) and Obstetrics and Gynecology (272 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, Wei Sha, Jill C. Sible and Katherine Chen. Their work appears in journals such as Biochemical Journal, Bioorganic & Medicinal Chemistry Letters, Scientific Reports, The Plant Journal and BMC Genomics.
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.