Massimo Pajoro
- Insect Science top 1%
- Plant Science top 10%
- Parasitology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Infectious Diseases top 10%
- Co-authors
- Claudio BandiAlberto AlmaDaniele DaffonchioLuciano SacchiMassimo MarzoratiIlaria NegriElena GonellaEmanuela Clementi
- Topics
- Insect symbiosis and bacterial influences (16 papers)Phytoplasmas and Hemiptera pathogens (10 papers)Vector-borne infectious diseases (7 papers)
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
Massimo Pajoro
26 papers receiving 786 citations
Peers
Comparison fields: 5 of 70
- Insect Science 507
- Plant Science 214
- Parasitology 160
- Ecology, Evolution, Behavior and Systematics 150
- Infectious Diseases 141
Countries citing papers authored by Massimo Pajoro
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
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-authorship network of co-authors of Massimo Pajoro
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Pajoro. A scholar is included among the top collaborators of Massimo Pajoro 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 Massimo Pajoro. Massimo Pajoro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 11 | |
| 3 | 33 | |
| 4 | 29 | |
| 5 | 12 | |
| 6 | 41 | |
| 7 | 78 | |
| 8 | 28 | |
| 9 | 5 | |
| 10 | 31 | |
| 11 | 68 | |
| 12 | 22 | |
| 13 | Detection of Coxiella burnetii in bulk milk of dairy cattle from Lombardy, Italy. | 6 |
| 14 | 141 | |
| 15 | Characterization of the microflora associated to Scaphoideus titanus, the insect vector of the "flavescence dorée" | 1 |
| 16 | Asaia, a transformable bacterium, associated with Scaphoideus titanus, the vector of "flavescence doree” | 2 |
| 17 | 19 | |
| 18 | 2 | |
| 19 | 84 | |
| 20 | 31 |
About Massimo Pajoro
Massimo Pajoro is a scholar working on Horticulture, Insect Science and Parasitology, having authored 28 papers that have together received 804 indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (16 papers), Phytoplasmas and Hemiptera pathogens (10 papers) and Vector-borne infectious diseases (7 papers). The work is most often cited by research in Horticulture (50 citations), Insect Science (507 citations) and Parasitology (160 citations). Massimo Pajoro has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Claudio Bandi, Alberto Alma, Daniele Daffonchio, Luciano Sacchi, Massimo Marzorati, Ilaria Negri, Elena Gonella, Emanuela Clementi, Elena Crotti and Mauro Mandrioli. Their work appears in journals such as Applied and Environmental Microbiology, Scientific Reports and Emerging infectious diseases.
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.