Mario Ermani
Impact in
Papers in
- Co-authors
- Alba A. Brandes (48 shared papers)Alicia Tosoni (16 shared papers)Enrico Franceschi (23 shared papers)Franco Lumachi (35 shared papers)V. Blatt (9 shared papers)S.M.M. Basso (23 shared papers)Roberta Bertorelle (4 shared papers)F. Spagnolli (2 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Neurological Sciences (7 papers)Neurology (7 papers)Cancer (6 papers)Clinical Neurophysiology (5 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Mario Ermani
219 papers receiving 8.4k citations
Mario Ermani's Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 2.9k
- Neurology 1.1k
- Pulmonary and Respiratory Medicine 1.4k
- Endocrinology, Diabetes and Metabolism 676
- Cancer Research 561
Countries citing papers authored by Mario Ermani
This map shows the geographic impact of Mario Ermani'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 Mario Ermani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Ermani more than expected).
Fields of papers citing papers by Mario Ermani
This network shows the impact of papers produced by Mario Ermani. 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 Mario Ermani. The network helps show where Mario Ermani may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Ermani, 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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MGMT Promoter Methylation Status Can Predict the Incidence and Outcome of Pseudoprogression After Concomitant Radiochemotherapy in Newly Diagnosed Glioblastoma Patients Hit paper breakdown → | 2008 | 675 |
| 2 | 2009 | 304 | |
| 3 | 2006 | 299 | |
| 4 | 2015 | 207 | |
| 5 | 2006 | 188 | |
| 6 | 2009 | 185 | |
| 7 | 1997 | 177 | |
| 8 | 2006 | 159 | |
| 9 | 1993 | 158 | |
| 10 | 2010 | 157 | |
| 11 | 2003 | 138 | |
| 12 | 2004 | 117 | |
| 13 | 2005 | 114 | |
| 14 | 2000 | 110 | |
| 15 | 2010 | 109 | |
| 16 | 2012 | 109 | |
| 17 | 2004 | 105 | |
| 18 | 2004 | 105 | |
| 19 | 2007 | 104 | |
| 20 | 2008 | 100 |
About Mario Ermani
Mario Ermani is a scholar working on Genetics, Neurology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Oncology, having authored 222 papers that have together received 8.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (36 papers), Brain Metastases and Treatment (10 papers), Parathyroid Disorders and Treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Genetic Neurodegenerative Diseases (7 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Genetics (2.9k citations), Neurology (1.1k citations), Pulmonary and Respiratory Medicine (1.4k citations), Endocrinology, Diabetes and Metabolism (676 citations) and Cancer Research (561 citations). Mario Ermani has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alba A. Brandes, Alicia Tosoni, Enrico Franceschi, Franco Lumachi, V. Blatt, S.M.M. Basso, Roberta Bertorelle, F. Spagnolli, G. Frezza and Pietro Amistà. Their work appears in journals such as Journal of Clinical Oncology, Neurological Sciences, Neurology, Cancer and Clinical Neurophysiology.
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.