Massimo Giunti
Impact in
- Small Animals top 2%
- Equine top 5%
Papers in
- Epidemiology 19
- Sepsis Diagnosis and Treatment 15
- Genetics 17
- Virus-based gene therapy research 12
- Co-authors
- Roberta Troìa (25 shared papers)Francesco Dondi (23 shared papers)Maria Laura Bacci (16 shared papers)Alberto Auricchio (9 shared papers)Settimio Rossi (8 shared papers)Mara Battilani (6 shared papers)Andrea Sommella (4 shared papers)Elena Marrocco (6 shared papers)
- Journals
- Frontiers in Veterinary Science (10 papers)Journal of Veterinary Internal Medicine (4 papers)Journal of Veterinary Emergency and Critical Care (4 papers)PLoS ONE (4 papers)BMC Veterinary Research (3 papers)
- Partner nations
- ItalyUnited StatesGermany
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-authors
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
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 204 | |
| 2 | 2002 | 140 | |
| 3 | 2014 | 80 | |
| 4 | 2011 | 76 | |
| 5 | 2011 | 72 | |
| 6 | 2016 | 70 | |
| 7 | 2015 | 67 | |
| 8 | 2011 | 57 | |
| 9 | 2011 | 39 | |
| 10 | 2018 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2018 | 32 | |
| 13 | 2013 | 32 | |
| 14 | 2019 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2013 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 2005 | 25 | |
| 19 | 2011 | 24 | |
| 20 | 2004 | 24 |
About Massimo Giunti
Massimo Giunti is a scholar working on Epidemiology, Genetics, Surgery, Small Animals and Public Health, Environmental and Occupational Health, 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), Bacterial Identification and Susceptibility Testing (6 papers), Streptococcal Infections and Treatments (6 papers), Veterinary Medicine and Surgery (5 papers) and Immune Response and Inflammation (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 Germany. Frequent co-authors include Roberta Troìa, Francesco Dondi, Maria Laura Bacci, Alberto Auricchio, Settimio Rossi, Mara Battilani, Andrea Sommella, Elena Marrocco, 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.