Massimo Niola
Impact in
- Health Informatics top 10%
- Pharmacy top 10%
- Medical Malpractice and Liability Issues
Papers in ⓘ
- Pharmacy 6
- Medical Malpractice and Liability Issues 6
- Co-authors
- Claudio Buccelli (16 shared papers)Pierpaolo Di Lorenzo (17 shared papers)Mariano Paternoster (10 shared papers)Vincenzo Graziano (14 shared papers)Emanuele Capasso (19 shared papers)Gelsomina Mansueto (5 shared papers)Claudio Napoli (3 shared papers)Valter Martino (4 shared papers)
- Journals
- PLoS ONE (4 papers)Legal Medicine (2 papers)Forensic Science International (2 papers)Toxics (1 paper)Journal of Obstetric, Gynecologic & Neonatal Nursing (1 paper)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Massimo Niola
41 papers receiving 522 citations
Peers
Comparison fields: 5 of 114
- Health Informatics 16
- Pharmacy 34
- Internal Medicine 19
- Critical Care and Intensive Care Medicine 25
- Transplantation 11
Countries citing papers authored by Massimo Niola
This map shows the geographic impact of Massimo Niola'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 Niola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Niola more than expected).
Fields of papers citing papers by Massimo Niola
This network shows the impact of papers produced by Massimo Niola. 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 Niola. The network helps show where Massimo Niola may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Niola, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 46 | |
| 2 | 2016 | 39 | |
| 3 | 2016 | 36 | |
| 4 | 2019 | 30 | |
| 5 | 2020 | 30 | |
| 6 | 2016 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2016 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2016 | 18 | |
| 12 | 2015 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2016 | 14 | |
| 15 | 2019 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2015 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2016 | 11 |
About Massimo Niola
Massimo Niola is a scholar working on Pharmacy, Toxicology, Emergency Medicine, Public Health, Environmental and Occupational Health and Oral Surgery, having authored 45 papers that have together received 532 indexed citations. Recurring topics across this work include Medical Malpractice and Liability Issues (6 papers), Patient Dignity and Privacy (4 papers), Palliative Care and End-of-Life Issues (4 papers), Electroconvulsive Therapy Studies (3 papers), Ethics in medical practice (3 papers), Organ Donation and Transplantation (3 papers), Dental Education, Practice, Research (3 papers) and Autopsy Techniques and Outcomes (3 papers). The work is most often cited by research in Health Informatics (16 citations), Pharmacy (34 citations), Internal Medicine (19 citations), Critical Care and Intensive Care Medicine (25 citations) and Transplantation (11 citations). Massimo Niola has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Claudio Buccelli, Pierpaolo Di Lorenzo, Mariano Paternoster, Vincenzo Graziano, Emanuele Capasso, Gelsomina Mansueto, Claudio Napoli, Valter Martino, Alessia Ferrarese and Maria Pieri. Their work appears in journals such as PLoS ONE, Legal Medicine, Forensic Science International, Toxics and Journal of Obstetric, Gynecologic & Neonatal Nursing.
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.