Jonathan D. Neubauer
- Plant Science top 10%
- Cell Biology top 10%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics
- Food Science
- Co-authors
- Edward C. LulaiJeffrey C. SuttleMelvin D. BoltonAsunta L. ThompsonGary A. SecorRebecca SpannerRonnie de JongeL. G. Campbell
- Topics
- Plant Pathogens and Fungal Diseases (9 papers)Plant Disease Management Techniques (5 papers)Plant Disease Resistance and Genetics (5 papers)
- Journals
- Proceedings of the National Academy of SciencesPhytopathologyPostharvest Biology and Technology
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Jonathan D. Neubauer
17 papers receiving 385 citations
Peers
Comparison fields: 5 of 40
- Plant Science 349
- Cell Biology 145
- Molecular Biology 84
- Ecology, Evolution, Behavior and Systematics 45
- Food Science 37
Countries citing papers authored by Jonathan D. Neubauer
This map shows the geographic impact of Jonathan D. Neubauer'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. Neubauer 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. Neubauer more than expected).
Fields of papers citing papers by Jonathan D. Neubauer
This network shows the impact of papers produced by Jonathan D. Neubauer. 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. Neubauer. The network helps show where Jonathan D. Neubauer may publish in the future.
Co-authorship network of co-authors of Jonathan D. Neubauer
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Neubauer. A scholar is included among the top collaborators of Jonathan D. Neubauer 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 Jonathan D. Neubauer. Jonathan D. Neubauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 11 | |
| 4 | 21 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 67 | |
| 9 | 22 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 75 | |
| 14 | 30 | |
| 15 | 37 | |
| 16 | 20 | |
| 17 | 32 |
About Jonathan D. Neubauer
Jonathan D. Neubauer is a scholar working on Cell Biology, Plant Science and Endocrinology, having authored 17 papers that have together received 394 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (9 papers), Plant Disease Management Techniques (5 papers) and Plant Disease Resistance and Genetics (5 papers). The work is most often cited by research in Plant Science (349 citations), Cell Biology (145 citations) and Ecology, Evolution, Behavior and Systematics (45 citations). Jonathan D. Neubauer has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Edward C. Lulai, Jeffrey C. Suttle, Melvin D. Bolton, Asunta L. Thompson, Gary A. Secor, Rebecca Spanner, Ronnie de Jonge, L. G. Campbell, Malaika K. Ebert and Bart P. H. J. Thomma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Phytopathology and Postharvest Biology and Technology.
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.