Joan Webber

4.3k total citations
96 papers, 3.1k citations indexed

About

Joan Webber is a scholar working on Plant Science, Cell Biology and Ecology. According to data from OpenAlex, Joan Webber has authored 96 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 49 papers in Cell Biology and 46 papers in Ecology. Recurrent topics in Joan Webber's work include Plant Pathogens and Fungal Diseases (49 papers), Forest Insect Ecology and Management (44 papers) and Plant Pathogens and Resistance (44 papers). Joan Webber is often cited by papers focused on Plant Pathogens and Fungal Diseases (49 papers), Forest Insect Ecology and Management (44 papers) and Plant Pathogens and Resistance (44 papers). Joan Webber collaborates with scholars based in United Kingdom, Italy and United States. Joan Webber's co-authors include C. M. Brasier, Michael J. Wingfield, Keith A. Seifert, Sandra Denman, Katherine Tubby, Susan Kirk, J. N. Gibbs, Peter H. Freer-Smith, Martin Mullett and A. V. Brown and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Forest Ecology and Management.

In The Last Decade

Joan Webber

96 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Joan Webber United Kingdom	29	2.0k	1.6k	1.2k	932	686	96	3.1k
Benoît Marçais France	32	2.2k 1.1×	1.4k 0.9×	1.1k 0.9×	572 0.6×	549 0.8×	85	3.2k
Katarina Ihrmark Sweden	21	2.5k 1.3×	1.0k 0.7×	1.2k 1.0×	575 0.6×	1.3k 1.9×	40	3.6k
Andrea Vannini Italy	29	2.1k 1.1×	1.6k 1.1×	669 0.6×	795 0.9×	283 0.4×	117	2.7k
Ottmar Holdenrieder Switzerland	37	2.5k 1.3×	1.8k 1.1×	1.5k 1.3×	557 0.6×	1.1k 1.6×	81	4.0k
Paolo Capretti Italy	27	1.5k 0.8×	1.3k 0.8×	866 0.7×	570 0.6×	489 0.7×	118	2.4k
Jennifer L. Parke United States	27	2.1k 1.1×	842 0.5×	489 0.4×	696 0.7×	379 0.6×	62	2.7k
Angus J. Carnegie Australia	35	2.3k 1.2×	2.4k 1.6×	1.4k 1.2×	1.7k 1.8×	720 1.0×	141	3.9k
Louis Bernier Canada	29	1.4k 0.7×	933 0.6×	788 0.7×	708 0.8×	394 0.6×	103	2.3k
Julio Javier Díez Spain	24	1.4k 0.7×	1.1k 0.7×	756 0.6×	311 0.3×	494 0.7×	156	2.2k
Sandra Denman United Kingdom	35	2.9k 1.5×	2.5k 1.6×	834 0.7×	1.3k 1.4×	318 0.5×	111	3.7k

Countries citing papers authored by Joan Webber

Since Specialization

Citations

This map shows the geographic impact of Joan Webber'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 Joan Webber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Webber more than expected).

Fields of papers citing papers by Joan Webber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Webber. 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 Joan Webber. The network helps show where Joan Webber may publish in the future.

Co-authorship network of co-authors of Joan Webber

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Webber. A scholar is included among the top collaborators of Joan Webber 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 Joan Webber. Joan Webber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Capron, Arnaud, Darío I. Ojeda, Guillaume J. Bilodeau, et al.. (2023). SODplex, a Series of Hierarchical Multiplexed Real-Time PCR Assays for the Detection and Lineage Identification of Phytophthora ramorum, the Causal Agent of Sudden Oak Death and Sudden Larch Death. SHILAP Revista de lepidopterología. 3(1). 173–185. 2 indexed citations

Brasier, C. M., et al.. (2020). Fitness characteristics of the European lineages of Phytophthora ramorum. Plant Pathology. 70(2). 275–286. 6 indexed citations

Jung, Thomas, Bruno Scanu, C. M. Brasier, et al.. (2020). A Survey in Natural Forest Ecosystems of Vietnam Reveals High Diversity of both New and Described Phytophthora Taxa including P. ramorum. Forests. 11(1). 93–93. 61 indexed citations

Webber, Joan, et al.. (2019). Insights into the potential host range ofPhytophthora foliorum. Forest Pathology. 49(6). 3 indexed citations

Brasier, C. M. & Joan Webber. (2019). Is there evidence for post‐epidemic attenuation in the Dutch elm disease pathogen Ophiostoma novo‐ulmi ?. Plant Pathology. 68(5). 921–929. 24 indexed citations

Vettraino, A. M., C. M. Brasier, Joan Webber, et al.. (2016). Contrasting microsatellite diversity in the evolutionary lineages of Phytophthora lateralis. Fungal Biology. 121(2). 112–126. 4 indexed citations

Webber, Joan, et al.. (2013). Gene × environment tests discriminate the new EU2 evolutionary lineage of Phytophthora ramorum and indicate that it is adaptively different. Forest Pathology. 44(3). 219–232. 12 indexed citations

Brasier, C. M., Anna Maria Vettraino, Everett M. Hansen, et al.. (2012). Four phenotypically and phylogenetically distinct lineages in Phytophthora lateralis. Fungal Biology. 116(12). 1232–1249. 26 indexed citations

Webber, Joan. (2010). Pest risk analysis and invasion pathways for plant pathogens.. New Zealand journal of forestry science. 40. 22 indexed citations

10.

Fichtner, Elizabeth J., David M. Rizzo, Susan Kirk, & Joan Webber. (2010). Root Infections May Challenge Management of Invasive Phytophthora spp. in U.K. Woodlands. Plant Disease. 95(1). 13–18. 21 indexed citations

11.

Sansford, C. E., A. J. Inman, & Joan Webber. (2010). Development of a pest risk analysis for Phytophthora ramorum for the European Union; the key deliverable from the EU-Funded project RAPRA. 229. 139–153. 3 indexed citations

12.

Denman, Sandra & Joan Webber. (2009). Oak declines: new definitions and new episodes in Britain.. 103(4). 285–290. 47 indexed citations

13.

Broadmeadow, M. S. J., Joan Webber, Duncan Ray, et al.. (2009). An assessment of likely future impacts of climate change on UK forests.. JAAD Case Reports. 21. 67–98. 8 indexed citations

14.

Webber, Joan. (2004). Experimental studies on factors influencing the transmission of Dutch elm disease. Forest Systems. 13(1). 197–205. 48 indexed citations

15.

Webber, Joan, et al.. (2000). Changes in moisture, soluble carbohydrate, and bacterial numbers during water storage of pine.. Forest Products Journal. 50(3). 74–80. 3 indexed citations

16.

Webber, Joan, Karin Jacobs, & Michael J. Wingfield. (1999). A re-examination of the vascular wilt pathogen of takamaka (Calophyllum inophyllum). Mycological Research. 103(12). 1588–1592. 11 indexed citations

17.

Webber, Joan, et al.. (1999). The role of mechanized harvesting in the development of bluestain in pine. Canadian Journal of Forest Research. 29(2). 242–251. 3 indexed citations

18.

Uzunovic, Adnan & Joan Webber. (1998). Comparison of bluestain fungi grown in vitro and in freshly cut pine billets. European Journal of Forest Pathology. 28(5). 323–334. 19 indexed citations

19.

Webber, Joan & J. N. Gibbs. (1996). Water storage of timber : experience in Britain. OpenGrey (Institut de l'Information Scientifique et Technique). 10 indexed citations

20.

Webber, Joan & J.N. Hedger. (1986). Comparison of interactions between Ceratocystis ulmi and elm bark saprobes in vitro and in vivo. Transactions of the British Mycological Society. 86(1). 93–101. 52 indexed citations

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.

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