Mario Ermani

228 papers receiving 9.5k citations

Mario Ermani's Hit Papers

MGMT Promoter Methylation Status Can Predict the Incidence and Outcome of Pseudoprogression After Concomitant Radiochemotherapy in Newly Diagnosed Glioblastoma Patients 2008 · 710 citations
7100+6+12Years since publication200400600

Peers

Mario Ermani
Comparison fields: 5 of 157
  • Genetics 3.1k
  • Neurology 1.2k
  • Rehabilitation 392
  • Pulmonary and Respiratory Medicine 1.4k
  • Neurology 377
Replace Kaoru Kurisu with:
Kaoru Kurisu Japan
Susumu Miyamoto Japan
David Charles Hess United States
Charles S. Cox United States
Warren R. Selman United States
Satoshi Kuroda Japan
Wolfgang Grisold Austria
Chul‐Ho Sohn South Korea
Blanca Eulalia Fuentes Gimeno Spain
Exuperio Díez‐Tejedor Spain
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Citations per year

Countries citing papers authored by Mario Ermani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mario Ermani Line = papers co-authored together Mario Ermani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 231 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 →
2008710
2 2009327
3 2006317
4 1996296
5 2015215
6 2006199
7 2009197
8 2010187
9 1997181
10 2006163
11 1993160
12 2003147
13 2004119
14 2005116
15 2010115
16 2012115
17 2011115
18 2007114
19 2000111
20 2004107

About Mario Ermani

Mario Ermani is a scholar working on Genetics, Neurology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Hematology, having authored 231 papers that have together received 10.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (31 papers), Hemoglobinopathies and Related Disorders (9 papers), Brain Metastases and Treatment (9 papers), Parathyroid Disorders and Treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Genetic Neurodegenerative Diseases (7 papers), Peripheral Neuropathies and Disorders (7 papers) and Iron Metabolism and Disorders (6 papers). The work is most often cited by research in Genetics (3.1k citations), Neurology (1.2k citations), Rehabilitation (392 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Neurology (377 citations). Mario Ermani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alba Ariela Brandes, Alicia Tosoni, Enrico Franceschi, Franco Lumachi, Valeria Blatt, Roberta Bertorelle, Stefano Maria Massimiliano Basso, Pietro Amistà, Giampiero Frezza and Federica Spagnolli. Their work appears in journals such as Neurology, Neurological Sciences, Journal of Clinical Oncology, Cancer and Journal of Neurology Neurosurgery & Psychiatry.

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.

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