Massimo Miscusi

1.9k citations
103 papers · 1.5k · h-index 20

Impact in

Papers in

Massimo Miscusi

96 papers receiving 1.4k citations

Peers

Massimo Miscusi
Comparison fields: 5 of 80
  • Pathology and Forensic Medicine 364
  • Genetics 168
  • Neurology 183
  • Surgery 384
  • Health Informatics 10
Replace Alexander E. Ropper with:
Alexander E. Ropper United States
Toshitaka Seki Japan
Hakan Emmez Türkiye
Junya Hanakita Japan
Raqeeb M. Haque United States
Anubhav G. Amin United States
Simon Cudlip United Kingdom
Vincenzo Albanese Italy
Phyo Kim Japan
Masahito Hara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Miscusi

Since Specialization
Citations

This map shows the geographic impact of Massimo Miscusi'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 Miscusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Miscusi more than expected).

Fields of papers citing papers by Massimo Miscusi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Miscusi. 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 Miscusi. The network helps show where Massimo Miscusi may publish in the future.

Co-authors

The 25 scholars most cited alongside Massimo Miscusi, 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 Massimo Miscusi Line = papers co-authored together Massimo Miscusi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007132
2 2002111
3 2015101
4 201277
5 200276
6 201763
7 201646
8 201837
9 200733
10 201533
11 201331
12 201327
13 201427
14 201924
15 201422
16 201922
17 202122
18 202221
19 200520
20 200620

About Massimo Miscusi

Massimo Miscusi is a scholar working on Pathology and Forensic Medicine, Genetics, Neurology, Surgery and Cellular and Molecular Neuroscience, having authored 103 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (19 papers), Glioma Diagnosis and Treatment (14 papers), Spinal Fractures and Fixation Techniques (12 papers), Cervical and Thoracic Myelopathy (9 papers), Neurosurgical Procedures and Complications (8 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Management of metastatic bone disease (6 papers) and Cerebrospinal fluid and hydrocephalus (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (364 citations), Genetics (168 citations), Neurology (183 citations), Surgery (384 citations) and Health Informatics (10 citations). Massimo Miscusi has collaborated with scholars based in Italy, Switzerland and Austria. Frequent co-authors include Antonino Raco, Filippo Maria Polli, Stefano Forcato, Luca Ricciardi, Alessandro Ramieri, Sokol Trungu, Paolo Missori, Roberto Delfini, Alessandro Pesce and Alessandro Frati. Their work appears in journals such as European Spine Journal, Journal of Neurosurgery Spine, World Neurosurgery, Journal of neurosurgery and Journal of Clinical Medicine.

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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