Grazia Maugeri
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Clinical Psychology top 5%
- Physiology top 5%
- Surgery
- Co-authors
- Velia D’AgataGiuseppe MusumeciAgata Grazia D’AmicoMichelino Di RosaAntonio PalmaSalvatore SacconePaola CastrogiovanniRoberto Pippi
- Topics
- Neuropeptides and Animal Physiology (30 papers)Retinal Diseases and Treatments (13 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesJournal of Cellular Physiology
- Partner nations
- ItalyUnited StatesHungary
In The Last Decade
Grazia Maugeri
86 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cellular and Molecular Neuroscience 628
- Molecular Biology 607
- Clinical Psychology 384
- Physiology 376
- Surgery 270
Countries citing papers authored by Grazia Maugeri
This map shows the geographic impact of Grazia Maugeri'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 Grazia Maugeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grazia Maugeri more than expected).
Fields of papers citing papers by Grazia Maugeri
This network shows the impact of papers produced by Grazia Maugeri. 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 Grazia Maugeri. The network helps show where Grazia Maugeri may publish in the future.
Co-authorship network of co-authors of Grazia Maugeri
This figure shows the co-authorship network connecting the top 25 collaborators of Grazia Maugeri. A scholar is included among the top collaborators of Grazia Maugeri 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 Grazia Maugeri. Grazia Maugeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 52 | |
| 17 | 33 | |
| 18 | 18 | |
| 19 | 35 | |
| 20 | 50 |
About Grazia Maugeri
Grazia Maugeri is a scholar working on Cellular and Molecular Neuroscience, Ophthalmology and Developmental Neuroscience, having authored 94 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (30 papers), Retinal Diseases and Treatments (13 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (628 citations), Ophthalmology (250 citations) and Clinical Psychology (384 citations). Grazia Maugeri has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Velia D’Agata, Giuseppe Musumeci, Agata Grazia D’Amico, Michelino Di Rosa, Antonio Palma, Salvatore Saccone, Paola Castrogiovanni, Roberto Pippi, Giuseppe Battaglia and Concetta Federico. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Journal of Cellular Physiology.
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.