Massimo Giunti
- Small Animals top 2%
- Veterinary Medicine and Surgery 5
- Equine top 5%
- Animal Science and Zoology top 5%
- Genetics top 5%
- Virus-based gene therapy research 12
- Ophthalmology top 5%
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- Sepsis Diagnosis and Treatment 15
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- Retinal Development and Disorders 8
- CRISPR and Genetic Engineering 6
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- Streptococcal Infections and Treatments 6
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- Bacterial Identification and Susceptibility Testing 6
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- Cardiovascular Conditions and Treatments 5
- Co-authors
- Roberta TroìaFrancesco DondiMaria Laura BacciAlberto AuricchioSettimio RossiMara BattilaniElena MarroccoAndrea Sommella
- Journals
- Frontiers in Veterinary Science (10 papers)Journal of Veterinary Internal Medicine (4 papers)Journal of Veterinary Emergency and Critical Care (4 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Massimo Giunti
69 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Small Animals 178
- Equine 39
- Animal Science and Zoology 178
- Genetics 476
- Ophthalmology 128
Countries citing papers authored by Massimo Giunti
This map shows the geographic impact of Massimo Giunti'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 Giunti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Giunti more than expected).
Fields of papers citing papers by Massimo Giunti
This network shows the impact of papers produced by Massimo Giunti. 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 Giunti. The network helps show where Massimo Giunti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Giunti, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 7 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 23 | |
| 15 | 2018 | 17 | |
| 16 | 2014 | 32 | |
| 17 | 2013 | 10 | |
| 18 | 2012 | 1 | |
| 19 | 2011 | 13 | |
| 20 | 2009 | 22 |
About Massimo Giunti
Massimo Giunti is a scholar working on Small Animals, Equine, Critical Care and Intensive Care Medicine, Clinical Biochemistry and Emergency Medicine, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (15 papers), Virus-based gene therapy research (12 papers), Retinal Development and Disorders (8 papers), CRISPR and Genetic Engineering (6 papers), Streptococcal Infections and Treatments (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Veterinary Medicine and Surgery (5 papers) and Cardiovascular Conditions and Treatments (5 papers). The work is most often cited by research in Small Animals (178 citations), Equine (39 citations), Animal Science and Zoology (178 citations), Genetics (476 citations) and Ophthalmology (128 citations). Massimo Giunti has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Roberta Troìa, Francesco Dondi, Maria Laura Bacci, Alberto Auricchio, Settimio Rossi, Mara Battilani, Elena Marrocco, Andrea Sommella, Andrea Balboni and Pasqualina Colella. Their work appears in journals such as Frontiers in Veterinary Science, Journal of Veterinary Internal Medicine, Journal of Veterinary Emergency and Critical Care, PLoS ONE and BMC Veterinary Research.
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.