Daniel G. Panaccione
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Plant Science top 1%
- Molecular Biology top 10%
- Cell Biology top 1%
- Pharmacology top 0.5%
- Co-authors
- Jonathan D. WaltonChristopher L. SchardlChristine M. CoyleJohn S. Scott‐CraigJohn W. PitkinPaul TudzynskiSimona FloreaJean‐Alain Pocard
- Topics
- Plant and fungal interactions (65 papers)Plant Pathogens and Fungal Diseases (43 papers)Mycorrhizal Fungi and Plant Interactions (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesNew ZealandChina
In The Last Decade
Daniel G. Panaccione
86 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 96
- Ecology, Evolution, Behavior and Systematics 1.9k
- Plant Science 1.6k
- Molecular Biology 1.1k
- Cell Biology 1000
- Pharmacology 935
Countries citing papers authored by Daniel G. Panaccione
This map shows the geographic impact of Daniel G. Panaccione'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 Daniel G. Panaccione with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Panaccione more than expected).
Fields of papers citing papers by Daniel G. Panaccione
This network shows the impact of papers produced by Daniel G. Panaccione. 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 Daniel G. Panaccione. The network helps show where Daniel G. Panaccione may publish in the future.
Co-authorship network of co-authors of Daniel G. Panaccione
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Panaccione. A scholar is included among the top collaborators of Daniel G. Panaccione 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 Daniel G. Panaccione. Daniel G. Panaccione is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 24 | |
| 10 | 22 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 17 | |
| 14 | 24 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | 19 | |
| 18 | 23 | |
| 19 | 18 | |
| 20 | 33 |
About Daniel G. Panaccione
Daniel G. Panaccione is a scholar working on Ecology, Evolution, Behavior and Systematics, Cell Biology and Environmental Chemistry, having authored 90 papers that have together received 3.4k indexed citations. Recurring topics across this work include Plant and fungal interactions (65 papers), Plant Pathogens and Fungal Diseases (43 papers) and Mycorrhizal Fungi and Plant Interactions (24 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.9k citations), Cell Biology (1000 citations) and Pharmacology (935 citations). Daniel G. Panaccione has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include Jonathan D. Walton, Christopher L. Schardl, Christine M. Coyle, John S. Scott‐Craig, John W. Pitkin, Paul Tudzynski, Simona Florea, Jean‐Alain Pocard, Wesley T. Beaulieu and Robert M. Hanau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.