Garey W. Slaughter
- Plant Science top 5%
- Cell Biology top 2%
- Molecular Biology
- Ecology top 10%
- Insect Science top 10%
- Co-authors
- David M. RizzoMatteo GarbelottoJ. M. DavidsonS. T. KoikeJ. R. ParmeterThomas D. BrunsF. W. CobbJennifer M. Davidson
- Topics
- Plant Pathogens and Fungal Diseases (11 papers)Mycorrhizal Fungi and Plant Interactions (9 papers)Forest Insect Ecology and Management (7 papers)
- Partner nations
- United States
In The Last Decade
Garey W. Slaughter
17 papers receiving 718 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Plant Science 689
- Cell Biology 494
- Molecular Biology 363
- Ecology 143
- Insect Science 93
Countries citing papers authored by Garey W. Slaughter
This map shows the geographic impact of Garey W. Slaughter'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 Garey W. Slaughter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garey W. Slaughter more than expected).
Fields of papers citing papers by Garey W. Slaughter
This network shows the impact of papers produced by Garey W. Slaughter. 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 Garey W. Slaughter. The network helps show where Garey W. Slaughter may publish in the future.
Co-authorship network of co-authors of Garey W. Slaughter
This figure shows the co-authorship network connecting the top 25 collaborators of Garey W. Slaughter. A scholar is included among the top collaborators of Garey W. Slaughter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garey W. Slaughter. Garey W. Slaughter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Phytophthora ramorum and Sudden Oak Death in California: II. Transmission and Survival 1 | 38 |
| 2 | Phytophthora ramorum as the Cause of Extensive Mortality of Quercus spp. and Lithocarpus densiflorus in Californiabreakdown → | 529 |
| 3 | 17 | |
| 4 | 28 | |
| 5 | 11 | |
| 6 | 35 | |
| 7 | The distribution of genets and their nuclear composition reveal the dynamics of establishment and survival of Heterobasidion annosum in white fir stands | 1 |
| 8 | 4 | |
| 9 | 48 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 20 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | Annosus Root Disease in True Firs in Northern and Central California National Forests | 5 |
| 17 | 14 |
About Garey W. Slaughter
Garey W. Slaughter is a scholar working on Cell Biology, Insect Science and Plant Science, having authored 17 papers that have together received 804 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (11 papers), Mycorrhizal Fungi and Plant Interactions (9 papers) and Forest Insect Ecology and Management (7 papers). The work is most often cited by research in Cell Biology (494 citations), Plant Science (689 citations) and Endocrinology (58 citations). Garey W. Slaughter has collaborated with scholars based in United States. Frequent co-authors include David M. Rizzo, Matteo Garbelotto, J. M. Davidson, S. T. Koike, J. R. Parmeter, Thomas D. Bruns, F. W. Cobb, Jennifer M. Davidson, William J. Otrosina and David L. Wood. Their work appears in journals such as Forest Ecology and Management, Phytopathology and Mycologia.
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.