Paola Massi
- Pharmacology top 0.2%
- Cannabis and Cannabinoid Research 32
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- Neuroscience and Neuropharmacology Research 20
- Neurotransmitter Receptor Influence on Behavior 16
- Neuropeptides and Animal Physiology 9
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies 8
- Toxicology top 2%
- Biological Psychiatry top 5%
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- Viral gastroenteritis research and epidemiology 11
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- Salmonella and Campylobacter epidemiology 8
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- Influenza Virus Research Studies 7
- Co-authors
- Daniela ParolaroTiziana RubinoAngelo VaccaniDaniela ViganòA ColomboValentina CinquinaGiovanni TosiMarta Valenti
- 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
- Animal Science and Zoology 413
- Toxicology 116
- Biological Psychiatry 78
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
The 25 scholars most cited alongside Paola Massi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 45 | |
| 2 | 2020 | 18 | |
| 3 | 2019 | 22 | |
| 4 | 2016 | 15 | |
| 5 | Evaluation of the risk of Aflatoxin M1 contamination in bovine milk for human consumption in Romagna, Italy. | 2015 | 1 |
| 6 | 2013 | 128 | |
| 7 | 2011 | 35 | |
| 8 | 2010 | 16 | |
| 9 | 2007 | 113 | |
| 10 | 2007 | 140 | |
| 11 | 2005 | 134 | |
| 12 | 2004 | 9 | |
| 13 | Application of polymerase chain reaction for the diagnosis of Mycoplasma gallisepticum and Mycoplasma synoviae. | 2002 | 1 |
| 14 | 2002 | 51 | |
| 15 | 2000 | 52 | |
| 16 | 2000 | 111 | |
| 17 | 1994 | 84 | |
| 18 | 1993 | 28 | |
| 19 | 1990 | 46 | |
| 20 | 1988 | 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), Neurotransmitter Receptor Influence on Behavior (16 papers), Viral gastroenteritis research and epidemiology (11 papers), Neuropeptides and Animal Physiology (9 papers), Animal Virus Infections Studies (8 papers), Salmonella and Campylobacter epidemiology (8 papers) and Influenza Virus Research Studies (7 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.