Paola Massi
- Pharmacology top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology
- Plant Science top 5%
- Animal Science and Zoology top 1%
- Co-authors
- Daniela ParolaroTiziana RubinoAngelo VaccaniDaniela ViganòA ColomboValentina CinquinaGiovanni TosiMarta Valenti
- Topics
- Cannabis and Cannabinoid Research (32 papers)Neuroscience and Neuropharmacology Research (20 papers)Neurotransmitter Receptor Influence on Behavior (16 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Paola Massi
84 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Pharmacology 2.2k
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 532
- Plant Science 515
- Animal Science and Zoology 413
Countries citing papers authored by Paola Massi
This map shows the geographic impact of Paola Massi'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 Paola Massi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Massi more than expected).
Fields of papers citing papers by Paola Massi
This network shows the impact of papers produced by Paola Massi. 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 Paola Massi. The network helps show where Paola Massi may publish in the future.
Co-authorship network of co-authors of Paola Massi
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Massi. A scholar is included among the top collaborators of Paola Massi 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 Paola Massi. Paola Massi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 18 | |
| 3 | 22 | |
| 4 | 15 | |
| 5 | Evaluation of the risk of Aflatoxin M1 contamination in bovine milk for human consumption in Romagna, Italy. | 1 |
| 6 | 128 | |
| 7 | 35 | |
| 8 | 16 | |
| 9 | 113 | |
| 10 | 140 | |
| 11 | 134 | |
| 12 | 9 | |
| 13 | Application of polymerase chain reaction for the diagnosis of Mycoplasma gallisepticum and Mycoplasma synoviae. | 1 |
| 14 | 51 | |
| 15 | 52 | |
| 16 | 111 | |
| 17 | 84 | |
| 18 | 28 | |
| 19 | 46 | |
| 20 | 8 |
About Paola Massi
Paola Massi is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 86 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (32 papers), Neuroscience and Neuropharmacology Research (20 papers) and Neurotransmitter Receptor Influence on Behavior (16 papers). The work is most often cited by research in Pharmacology (2.2k citations), Cellular and Molecular Neuroscience (1.3k citations) and Animal Science and Zoology (413 citations). Paola Massi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Daniela Parolaro, Tiziana Rubino, Angelo Vaccani, Daniela Viganò, A Colombo, Valentina Cinquina, Giovanni Tosi, Marta Valenti, G Patrini and Paola Sacerdote. Their work appears in journals such as PLoS ONE, Journal of Virology and Scientific Reports.
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.