Massimo Pajoro

1.0k citations
28 papers · 856 · h-index 15

Impact in

    • Insect symbiosis and bacterial influences
    • Insect-Plant Interactions and Control
    • Insect and Pesticide Research

Papers in

    • Insect symbiosis and bacterial influences 16
    • Insect-Plant Interactions and Control 3
    • Phytoplasmas and Hemiptera pathogens 10
    • Plant Virus Research Studies 4

Massimo Pajoro

26 papers receiving 831 citations

Peers

Massimo Pajoro
Comparison fields: 5 of 70
  • Horticulture 61
  • Insect Science 525
  • Parasitology 161
  • Infectious Diseases 124
  • Ecology, Evolution, Behavior and Systematics 141
Replace Robert K. Velten with:
Robert K. Velten United States
Peter E. Cook Australia
Aurélien Vigneron United States
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Citations per field
00.5×8.4×
Robert K. Velten · 1×
Citations per year

Countries citing papers authored by Massimo Pajoro

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Pajoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Pajoro, 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 Massimo Pajoro Line = papers co-authored together Massimo Pajoro 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 2009148
2 200889
3 200684
4 201584
5 201270
6 201055
7 201643
8 200634
9 202034
10 201332
11 201231
12 201831
13 201022
14 202321
15 200820
16 201713
17 202111
18
Detection of Coxiella burnetii in bulk milk of dairy cattle from Lombardy, Italy.
20097
19 20126
20
Candidatus Midichloria mitochondrii: Symbiont of Parasite of Tick Mitochondria
20114

About Massimo Pajoro

Massimo Pajoro is a scholar working on Insect Science, Plant Science, Ecology, Evolution, Behavior and Systematics, Parasitology and Infectious Diseases, having authored 28 papers that have together received 856 indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (16 papers), Phytoplasmas and Hemiptera pathogens (10 papers), Vector-borne infectious diseases (7 papers), Viral Infections and Vectors (5 papers), Vector-Borne Animal Diseases (4 papers), Plant Virus Research Studies (4 papers), Cocoa and Sweet Potato Agronomy (3 papers) and Insect-Plant Interactions and Control (3 papers). The work is most often cited by research in Horticulture (61 citations), Insect Science (525 citations), Parasitology (161 citations), Infectious Diseases (124 citations) and Ecology, Evolution, Behavior and Systematics (141 citations). Massimo Pajoro has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Claudio Bandi, Alberto Alma, Luciano Sacchi, Massimo Marzorati, Daniele Daffonchio, Ilaria Negri, Elena Gonella, Emanuela Clementi, Mauro Mandrioli and Marco Genchi. Their work appears in journals such as Tissue and Cell, Applied and Environmental Microbiology, Experimental and Applied Acarology, mBio and Autonomic Neuroscience.

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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