Lidia Savi

29 papers receiving 473 citations

Peers

Lidia Savi
Comparison fields: 5 of 57
  • Psychiatry and Mental health 419
  • Pathology and Forensic Medicine 153
  • Endocrine and Autonomic Systems 40
  • Physiology 132
  • Sensory Systems 21
Replace CGH Dahlöf with:
CGH Dahlöf Sweden
V.L. Perrin United Kingdom
M Giacovazzo Italy
Tokio Shimomura Japan
Alessandro Panconesi Italy
Pegah Rafiee Iran
Daniela Cologno Italy
Marije Reekers Netherlands
Elif Ilgaz Aydınlar Türkiye
A Prusiński Poland
Lidia Savi relative to CGH Dahlöf Sweden CGH Dahlöf's profile →
Citations per field
00.5×10×16.5×
CGH Dahlöf · 1×
Citations per year

Countries citing papers authored by Lidia Savi

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Savi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 201147
3 201033
4 201131
5 200831
6 201231
7 200027
8 200925
9 200224
10 201415
11 200214
12 200313
13 201413
14 20058
15 20058
16 20138
17 20157
18 20147
19 20195
20 20225

About Lidia Savi

Lidia Savi is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine, Physiology, Sensory Systems and Neurology, having authored 30 papers that have together received 503 indexed citations. Recurring topics across this work include Migraine and Headache Studies (25 papers), Trigeminal Neuralgia and Treatments (7 papers), Sympathectomy and Hyperhidrosis Treatments (5 papers), Ophthalmology and Eye Disorders (5 papers), Olfactory and Sensory Function Studies (3 papers), Cancer Treatment and Pharmacology (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Neurological Disorders and Treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (419 citations), Pathology and Forensic Medicine (153 citations), Endocrine and Autonomic Systems (40 citations), Physiology (132 citations) and Sensory Systems (21 citations). Lidia Savi has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Lorenzo Pinessi, Giorgio Zanchin, Carlo Lisotto, Innocenzo Rainero, Stefano Omboni, Luigi Alberto Pini, Michel D. Ferrari, Grazia Sances, Walter Valfrè and Maria Pia Prudenzano. Their work appears in journals such as The Journal of Headache and Pain, Cephalalgia, Headache The Journal of Head and Face Pain, Pain Research and Management and Infectious Disorders - Drug Targets.

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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