P Peruzzi

48 papers receiving 1.9k citations

Peers

P Peruzzi
Comparison fields: 5 of 63
  • Genetics 1.2k
  • Microbiology 10
  • Anesthesiology and Pain Medicine 76
  • Endocrinology, Diabetes and Metabolism 147
  • Psychiatry and Mental health 140
Replace Philippe Page with:
Philippe Page France
Guenther Christian Feigl Germany
Shunji Nishio Japan
Michiharu Morino Japan
Enrique Ferrer Spain
Erik Pietro Sganzerla Italy
Sang Sup Chung South Korea
Fritz Mundinger Germany
Maria Zetterling Sweden
J.C. Peragut France
P Peruzzi relative to Philippe Page France Philippe Page's profile →
Citations per field
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Philippe Page · 1×
Citations per year

Countries citing papers authored by P Peruzzi

Since Specialization
Citations

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

Fields of papers citing papers by P Peruzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013341
2 2013304
3 2008154
4 2010149
5 2013136
6 2005124
7 200980
8 200956
9 200854
10 201353
11 201251
12 201238
13 202038
14 202030
15 199728
16 199623
17 202223
18 200722
19 201421
20 201618

About P Peruzzi

P Peruzzi is a scholar working on Genetics, Anesthesiology and Pain Medicine, Pharmacology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Meningioma and schwannoma management (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Pain Management and Treatment (4 papers), Infectious Diseases and Tuberculosis (3 papers), Cardiac tumors and thrombi (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Genetics (1.2k citations), Microbiology (10 citations), Anesthesiology and Pain Medicine (76 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Psychiatry and Mental health (140 citations). P Peruzzi has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Denys Fontaine, Luc Taillandier, Hugues Duffau, Emmanuel Mandonnet, Johan Pallud, Laurent Capelle, Philippe Colin, Luc Bauchet, Jacques Guyotat and Pascal Rousseaux. Their work appears in journals such as Acta Neurochirurgica, Annals of Neurology, International Journal of Radiation Oncology*Biology*Physics, Journal of neurosurgery and Neuro-Oncology.

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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