Jon P. Woods
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Epidemiology top 5%
- Fungal Infections and Studies
Papers in
- Epidemiology 20
- Fungal Infections and Studies 20
-
- Plant-Microbe Interactions and Immunity 7
- Phytoplasmas and Hemiptera pathogens 4
- Legume Nitrogen Fixing Symbiosis 3
- Co-authors
- William E. Goldman (3 shared papers)Diane M. Retallack (5 shared papers)Robert Żarnowski (7 shared papers)Kendal G. Cooper (3 shared papers)George S. Deepe (3 shared papers)William J. McKenna (1 shared paper)P. Frederick Sparling (1 shared paper)David W. Dyer (1 shared paper)
- Journals
- Infection and Immunity (7 papers)Microbial Pathogenesis (2 papers)Molecular Microbiology (2 papers)Gene (2 papers)Current Microbiology (2 papers)
- Partner nations
- United StatesPoland
In The Last Decade
Jon P. Woods
29 papers receiving 943 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 444
- Epidemiology 640
- Parasitology 91
- Microbiology 74
- Plant Science 335
Countries citing papers authored by Jon P. Woods
This map shows the geographic impact of Jon P. Woods'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 Jon P. Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon P. Woods more than expected).
Fields of papers citing papers by Jon P. Woods
This network shows the impact of papers produced by Jon P. Woods. 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 Jon P. Woods. The network helps show where Jon P. Woods may publish in the future.
Co-authors
The 22 scholars most cited alongside Jon P. Woods, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 71 | |
| 2 | 2006 | 69 | |
| 3 | 2003 | 62 | |
| 4 | 1987 | 59 | |
| 5 | 2002 | 58 | |
| 6 | 1999 | 56 | |
| 7 | 1992 | 55 | |
| 8 | 2007 | 55 | |
| 9 | 2001 | 46 | |
| 10 | 2008 | 41 | |
| 11 | 1999 | 40 | |
| 12 | 1999 | 36 | |
| 13 | 2005 | 35 | |
| 14 | 2016 | 34 | |
| 15 | 1998 | 34 | |
| 16 | 2007 | 27 | |
| 17 | 2000 | 26 | |
| 18 | 2005 | 24 | |
| 19 | 2000 | 22 | |
| 20 | 2008 | 21 |
About Jon P. Woods
Jon P. Woods is a scholar working on Epidemiology, Plant Science, Molecular Biology, Infectious Diseases and Cell Biology, having authored 29 papers that have together received 960 indexed citations. Recurring topics across this work include Fungal Infections and Studies (20 papers), Antifungal resistance and susceptibility (10 papers), Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogens and Fungal Diseases (4 papers), Phytoplasmas and Hemiptera pathogens (4 papers), Antimicrobial Peptides and Activities (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Infectious Diseases (444 citations), Epidemiology (640 citations), Parasitology (91 citations), Microbiology (74 citations) and Plant Science (335 citations). Jon P. Woods has collaborated with scholars based in United States and Poland. Frequent co-authors include William E. Goldman, Diane M. Retallack, Robert Żarnowski, Kendal G. Cooper, George S. Deepe, William J. McKenna, P. Frederick Sparling, David W. Dyer, Erika Héninger and Laura H. Hogan. Their work appears in journals such as Infection and Immunity, Microbial Pathogenesis, Molecular Microbiology, Gene and Current Microbiology.
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.