Claudia Codecà

1.4k citations
22 papers · 1.2k · h-index 15

Impact in

Papers in

Claudia Codecà

21 papers receiving 1.2k citations

Peers

Claudia Codecà
Comparison fields: 5 of 73
  • Neurology 674
  • Neurology 209
  • Anesthesiology and Pain Medicine 68
  • Pathology and Forensic Medicine 210
  • Cognitive Neuroscience 238
Replace Fabrizia Monteleone with:
Fabrizia Monteleone Italy
Hajime Kusayanagi Italy
Zaghloul Ahmed United States
Matthias Wycislo Germany
Jean Paul Nguyen France
Romulo Fuentes Flores Chile
Joseph M. Waltz United States
Kirsi Puurunen Finland
Diane Daly Ralston United States
Sandra Roeske Germany
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009216
2 2008180
3 2009129
4 2011106
5 2009105
6 201092
7 200859
8 200957
9 200850
10 200946
11 201144
12 201043
13 200924
14 201018
15 201018
16 20228
17
Sclerosing PEComa: a case report and review of the literature.
20133
18 20211
19 20081
20 20201

About Claudia Codecà

Claudia Codecà is a scholar working on Neurology, Pathology and Forensic Medicine, Reproductive Medicine, Pharmacology and Obstetrics and Gynecology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Transcranial Magnetic Stimulation Studies (7 papers), Ovarian cancer diagnosis and treatment (3 papers), Vestibular and auditory disorders (3 papers), Cannabis and Cannabinoid Research (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Alzheimer's disease research and treatments (2 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Neurology (674 citations), Neurology (209 citations), Anesthesiology and Pain Medicine (68 citations), Pathology and Forensic Medicine (210 citations) and Cognitive Neuroscience (238 citations). Claudia Codecà has collaborated with scholars based in Italy and Spain. Frequent co-authors include Giacomo Koch, Giorgio Bernardi, Francesco Luca Rocco Mori, Fabrizia Monteleone, Hajime Kusayanagi, Diego Centonze, Fabio Buttari, Stefania Fiore, Silvia Rossi and Alessandro Martorana. Their work appears in journals such as Clinical Neurophysiology, European Journal of Neurology, Ultrasound in Obstetrics and Gynecology, Neuropsychopharmacology and Brain stimulation.

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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