E. Silfverberg-Dilworth

747 citations
7 papers · 555 indexed · h-index 6

E. Silfverberg-Dilworth

7 papers receiving 514 citations

Peers

E. Silfverberg-Dilworth
Comparison fields: 5 of 30
  • Cell Biology 228
  • Plant Science 514
  • Ecology, Evolution, Behavior and Systematics 183
  • Horticulture 3
  • Molecular Biology 205
Replace C. Matasci with:
C. Matasci Switzerland
Qikai Xing China
L. E. del Río United States
Wendy Skinner United Kingdom
Johann Confais France
Pál Vági Hungary
Adam Taranto Australia
J. R. Stavely United States
M.N. Brisset France
Fangping Tang China
E. Silfverberg-Dilworth relative to C. Matasci Switzerland C. Matasci's profile →
Citations per field
00.5×3.6×
C. Matasci · 1×
Citations per year

Countries citing papers authored by E. Silfverberg-Dilworth

Since Specialization
Citations

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

Fields of papers citing papers by E. Silfverberg-Dilworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Silfverberg-Dilworth. 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 E. Silfverberg-Dilworth. The network helps show where E. Silfverberg-Dilworth may publish in the future.

Co-authorship network

The 25 scholars most cited alongside E. Silfverberg-Dilworth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Silfverberg-Dilworth Line = papers co-authored together E. Silfverberg-Dilworth links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200839
2 2006262
3
Microsatellite markers spanning the apple (Malus×domestica Borkh.) genome
200623
4
Evaluation of in-vitro grown apple shoot sensitivity to Venturia inaequalis using a detached leaf assay
20063
5 200519
6 2004189
7 200320

About E. Silfverberg-Dilworth

E. Silfverberg-Dilworth is a scholar working on Cell Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 555 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (4 papers), Fungal Plant Pathogen Control (3 papers), Horticultural and Viticultural Research (2 papers), Plant Disease Resistance and Genetics (2 papers), Plant Physiology and Cultivation Studies (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Powdery Mildew Fungal Diseases (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). The work is most often cited by research in Cell Biology (228 citations), Plant Science (514 citations) and Ecology, Evolution, Behavior and Systematics (183 citations). E. Silfverberg-Dilworth has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Andrea Patocchi, Luca Gianfranceschi, C. Gessler, Stefano Tartarini, Boris A. Vinatzer, Martijn van Kaauwen, Charles‐Eric Durel, Eric van de Weg, Marcel Walser and Bernhard Koller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Theoretical and Applied Genetics and HortScience.

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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