G. Faccani

1.4k citations
26 papers · 953 indexed · h-index 15

G. Faccani

26 papers receiving 924 citations

Peers

G. Faccani
Comparison fields: 5 of 81
  • Neurology 299
  • Surgery 407
  • Genetics 92
  • Cellular and Molecular Neuroscience 151
  • Pathology and Forensic Medicine 106
Replace Jae-Hyoo Kim with:
Jae-Hyoo Kim South Korea
David W. Beck United States
G Parenti Italy
Massimo Miscusi Italy
Shengwen Liu China
Talat Kırış Türkiye
Yasunori Fujimoto Japan
Mitsuo Isono Japan
Johannes L. Teepen Netherlands
Shōzō Ishii Japan
G. Faccani relative to Jae-Hyoo Kim South Korea Jae-Hyoo Kim's profile →
Citations per field
00.5×2.7×
Jae-Hyoo Kim · 1×
Citations per year

Countries citing papers authored by G. Faccani

Since Specialization
Citations

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

Fields of papers citing papers by G. Faccani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20167
2 201525
3 201412
4 201448
5 201227
6 201261
7 201129
8 20115
9 2010263
10 201078
11 20066
12
Hyperprolactinaemia and prolactin binding in benign intracranial tumours.
200113
13 199728
14 1996107
15 199512
16 199412
17 199415
18 198963
19 198523
20
Considerations on 135 vertebral fractures and/or dislocations with or without neurological impairment. Results of conservative and surgical treatment.
19853

About G. Faccani

G. Faccani is a scholar working on Neurology, Genetics and Pathology and Forensic Medicine, having authored 26 papers that have together received 953 indexed citations. Recurring topics across this work include Spinal Fractures and Fixation Techniques (7 papers), Pituitary Gland Disorders and Treatments (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Neurosurgical Procedures and Complications (3 papers), Meningioma and schwannoma management (3 papers), Nerve Injury and Rehabilitation (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Peripheral Nerve Disorders (2 papers). The work is most often cited by research in Neurology (299 citations), Surgery (407 citations) and Genetics (92 citations). G. Faccani has collaborated with scholars based in Italy, Belarus and United States. Frequent co-authors include Michele Lanotte, Fulvio Massaro, P. Ciaramitaro, Giuseppe Migliaretti, Dario Cocito, Cecilia Scarinzi, Bruno Battiston, Arman Sard, Mauro Mondelli and Séréna Grimaldi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of the New York Academy of Sciences and Journal of neurosurgery.

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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