Anna V. Brown
Impact in
- Cell Biology top 1%
- Plant Pathogens and Fungal Diseases
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
- Cell Biology 21
- Plant Pathogens and Fungal Diseases 21
- Ecology 9
- Forest Insect Ecology and Management 8
- Co-authors
- Kathy J. Lewis (3 shared papers)Alex J. Woods (2 shared papers)C. M. Brasier (6 shared papers)Susan J. Frankel (1 shared paper)John T. Kliejunas (1 shared paper)Rona N. Sturrock (1 shared paper)James J. Worrall (1 shared paper)Paul E. Hennon (1 shared paper)
- Journals
- Forest Pathology (8 papers)Plant Pathology (6 papers)Plant Disease (2 papers)Phytopathology (2 papers)Forest Ecology and Management (1 paper)
- Partner nations
- United KingdomNew ZealandCanada
In The Last Decade
Anna V. Brown
29 papers receiving 1.5k citations
Anna V. Brown's Hit Papers
Peers
Comparison fields: 5 of 57
- Cell Biology 669
- Ecological Modeling 57
- Ecology 296
- Plant Science 460
- Nature and Landscape Conservation 111
Countries citing papers authored by Anna V. Brown
This map shows the geographic impact of Anna V. Brown'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 Anna V. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna V. Brown more than expected).
Fields of papers citing papers by Anna V. Brown
This network shows the impact of papers produced by Anna V. Brown. 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 Anna V. Brown. The network helps show where Anna V. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna V. Brown, 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 | Climate change and forest diseases Hit paper breakdown → | 2011 | 601 |
| 2 | 1996 | 141 | |
| 3 | 2004 | 110 | |
| 4 | 2009 | 102 | |
| 5 | 2016 | 93 | |
| 6 | 2007 | 80 | |
| 7 | 2007 | 78 | |
| 8 | 2016 | 73 | |
| 9 | 2011 | 36 | |
| 10 | 2015 | 31 | |
| 11 | 2015 | 23 | |
| 12 | 2016 | 23 | |
| 13 | 2016 | 22 | |
| 14 | 2017 | 22 | |
| 15 | 2016 | 18 | |
| 16 | 2014 | 17 | |
| 17 | 2015 | 13 | |
| 18 | 2015 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2016 | 7 |
About Anna V. Brown
Anna V. Brown is a scholar working on Cell Biology, Ecology, Plant Science, Genetics and Ecological Modeling, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (21 papers), Forest Insect Ecology and Management (8 papers), Plant Pathogens and Resistance (7 papers), Genetic diversity and population structure (4 papers), Plant-Microbe Interactions and Immunity (1 paper), Plant Water Relations and Carbon Dynamics (1 paper), Genetics and Plant Breeding (1 paper) and Wood Treatment and Properties (1 paper). The work is most often cited by research in Cell Biology (669 citations), Ecological Modeling (57 citations), Ecology (296 citations), Plant Science (460 citations) and Nature and Landscape Conservation (111 citations). Anna V. Brown has collaborated with scholars based in United Kingdom, New Zealand and Canada. Frequent co-authors include Kathy J. Lewis, Alex J. Woods, C. M. Brasier, Susan J. Frankel, John T. Kliejunas, Rona N. Sturrock, James J. Worrall, Paul E. Hennon, Joan Webber and Sandra Denman. Their work appears in journals such as Forest Pathology, Plant Pathology, Plant Disease, Phytopathology and Forest Ecology and Management.
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.