Daniele Da Lio

407 citations
28 papers · 307 · h-index 12

Impact in

Papers in

    • Mycorrhizal Fungi and Plant Interactions 4
    • Plant-Microbe Interactions and Immunity 3
    • Plant Pathogens and Fungal Diseases 14

Daniele Da Lio

27 papers receiving 297 citations

Peers

Daniele Da Lio
Comparison fields: 5 of 28
  • Insect Science 96
  • Endocrinology 38
  • Cell Biology 120
  • Plant Science 160
  • Ecology 80
Replace Marcelo M. Zerillo with:
Marcelo M. Zerillo United States
Kevin Ong United States
Julie Pattemore Australia
Nathalie Bosselut France
Melanie Kalischuk Canada
Mina Yu China
Silvia Turco Italy
Guogen Yang China
Michael Andreou United Kingdom
Daniele Da Lio relative to Marcelo M. Zerillo United States Marcelo M. Zerillo's profile →
Citations per field
00.5×2.9×
Marcelo M. Zerillo · 1×
Citations per year

Countries citing papers authored by Daniele Da Lio

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Da Lio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Da Lio. 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 Daniele Da Lio. The network helps show where Daniele Da Lio may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniele Da Lio, 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 Daniele Da Lio Line = papers co-authored together Daniele Da Lio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 201833
3 202132
4 202020
5 202018
6 202118
7 201917
8 202114
9 202114
10 201712
11 201712
12 202011
13 202211
14 20218
15 20217
16 20206
17 20216
18 20216
19 20215
20 20174

About Daniele Da Lio

Daniele Da Lio is a scholar working on Plant Science, Cell Biology, Insect Science, Ecology and Molecular Biology, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (14 papers), Forest Insect Ecology and Management (12 papers), Entomopathogenic Microorganisms in Pest Control (7 papers), Plant and Fungal Interactions Research (5 papers), Insect-Plant Interactions and Control (4 papers), Yeasts and Rust Fungi Studies (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). The work is most often cited by research in Insect Science (96 citations), Endocrinology (38 citations), Cell Biology (120 citations), Plant Science (160 citations) and Ecology (80 citations). Daniele Da Lio has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Susanna Pecchia, Domenico Rizzo, Riccardo Baroncelli, Sabrina Sarrocco, Gaëtan Le Floch, Elisabetta Rossi, Nicola Luchi, Giovanni Vannacci, Alessandra Panattoni and Patrice Nodet. Their work appears in journals such as Plants, Plant Disease, Journal of Economic Entomology, Molecular Plant-Microbe Interactions and Horticulturae.

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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