Claudia Codecà

1.4k citations
21 papers · 1.1k · h-index 15

Impact in

Papers in

Claudia Codecà

21 papers receiving 1.1k citations

Peers

Claudia Codecà
Comparison fields: 5 of 73
  • Neurology 699
  • Anesthesiology and Pain Medicine 110
  • Neurology 282
  • Cognitive Neuroscience 277
  • Pathology and Forensic Medicine 251
Replace Fabrizia Monteleone with:
Fabrizia Monteleone Italy
Hajime Kusayanagi Italy
Koichi Hosomi Japan
Florian Klinker Germany
Zaghloul Ahmed United States
Jörgen Boivie Sweden
Katja Witscher Germany
Hyoung-Ihl Kim South Korea
Aurelio Piazza Italy
Jean Paul Nguyen France
Claudia Codecà relative to Fabrizia Monteleone Italy Fabrizia Monteleone's profile →
Citations per field
00.5×1.5×
Fabrizia Monteleone · 1×
Citations per year

Countries citing papers authored by Claudia Codecà

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Codecà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009193
2 2008170
3 2009118
4 200997
5 201195
6 201091
7 200856
8 200954
9 200849
10 200943
11 201039
12 201138
13 200922
14 201018
15 201017
16 20224
17
Sclerosing PEComa: a case report and review of the literature.
20133
18 20211
19 20161
20
[Medical humanities in gynecology and obstetrics].
20121

About Claudia Codecà

Claudia Codecà is a scholar working on Neurology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (8 papers), Multiple Sclerosis Research Studies (7 papers), Vestibular and auditory disorders (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Nerve injury and regeneration (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (699 citations), Anesthesiology and Pain Medicine (110 citations), Neurology (282 citations), Cognitive Neuroscience (277 citations) and Pathology and Forensic Medicine (251 citations). Claudia Codecà has collaborated with scholars based in Italy and Spain. Frequent co-authors include Giacomo Koch, Giorgio Bernardi, Francesco Mori, Fabrizia Monteleone, Hajime Kusayanagi, Diego Centonze, Fabio Buttari, Stefania Fiore, Silvia Rossi and Zaira Esposito. Their work appears in journals such as Clinical Neurophysiology, Ultrasound in Obstetrics and Gynecology, European Journal of Neurology, Brain stimulation and Neuropsychopharmacology.

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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