This map shows the geographic impact of R. Osler'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 R. Osler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Osler more than expected).
This network shows the impact of papers produced by R. Osler. 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 R. Osler. The network helps show where R. Osler may publish in the future.
Co-authorship network of co-authors of R. Osler
This figure shows the co-authorship network connecting the top 25 collaborators of R. Osler.
A scholar is included among the top collaborators of R. Osler 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 R. Osler. R. Osler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Ermacora, P. & R. Osler. (2018). Symptoms of Phytoplasma Diseases. Methods in molecular biology. 1875. 53–67.15 indexed citations
2.
Grisan, Simone, Marta Martini, Rita Musetti, & R. Osler. (2011). Development of a molecular approach to describe the diversity of fungal endophytes in either phytoplasma infected, recovered or healthy grapevines.. Bulletin of insectology. 64.4 indexed citations
3.
Musetti, Rita, Federica de Marco, Rachele Polizzotto, et al.. (2011). Phloem-specific protein expression patterns in apple and grapevine during phytoplasma infection and recovery.. Bulletin of insectology. 64.7 indexed citations
4.
Ermacora, P., et al.. (2011). Population dynamics of Cacopsylla pruni and 'Candidatus Phytoplasma prunorum' infection in North-Eastern Italy.. Bulletin of insectology. 64.5 indexed citations
5.
Ermacora, P., N. Loi, Francesco Ferrini, et al.. (2010). Hypo- and hyper-virulence in apricot trees infected by European stone fruit yellows. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 197–200.4 indexed citations
Martini, Marta, et al.. (2008). First report of Candidatus phytoplasma mali in Turkey.. Journal of Plant Pathology. 90(1).5 indexed citations
9.
Martini, Marta, et al.. (2007). Detection and molecular characterization of phytoplasmas infecting sesame and solanaceous crops in Turkey. Bulletin of insectology. 60(2). 141–142.57 indexed citations
Myrta, A., et al.. (2003). First report of phytoplasma infections in fruit trees and grapevine in Albania.. Journal of Plant Pathology. 85(1).4 indexed citations
Pertot, Ilaria, et al.. (1998). Changes in indole-3-acetic acid level in micropropagated tissues of Catharanthus roseus infected by the agent of the clover phyllody and effect of exogenous auxins on phytoplasma morphology. 95(378). 13–23.18 indexed citations
17.
Osler, R., et al.. (1998). The principal diseases caused by fungi, bacteria and phytoplasmas that affect grapes in the propagation phase. Informatore fitopatologico. 48. 4–9.1 indexed citations
18.
Osler, R., et al.. (1995). Polyclonal antibodies in detection of potyviruses as maize pathogens. Maydica. 40(2). 173–177.2 indexed citations
19.
Musetti, Rita, M. A. Favali, L. Carraro, & R. Osler. (1992). An attempt to differentiate by microscopic methods two plant mycoplasma-like organisms. 72(289). 71–82.7 indexed citations
20.
Osler, R., et al.. (1975). Presence of Scaphoideus littoralis in vineyards of Oltrepo pavese affected by a disease of the type "flavescence doree".. Informatore fitopatologico. 25(6). 13–15.2 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.