Francesco T. Mangano

4.6k citations
155 papers · 2.9k indexed · h-index 29

Francesco T. Mangano

144 papers receiving 2.8k citations

Peers

Francesco T. Mangano
Comparison fields: 5 of 111
  • Psychiatry and Mental health 1.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Pediatrics, Perinatology and Child Health 936
  • Cognitive Neuroscience 892
  • Health Informatics 56
Replace Clarissa Lin Yasuda with:
Clarissa Lin Yasuda Brazil
Jitender Saini India
Matthew D. Smyth United States
Dileep Nair United States
Ari M. Blitz United States
Nobuhiro Mikuni Japan
Massimo Caulo Italy
Chengyuan Wu United States
William Harkness United Kingdom
Tim J. von Oertzen Austria
Francesco T. Mangano relative to Clarissa Lin Yasuda Brazil Clarissa Lin Yasuda's profile →
Citations per field
00.5×6.2×
Clarissa Lin Yasuda · 1×
Citations per year

Countries citing papers authored by Francesco T. Mangano

Since Specialization
Citations

This map shows the geographic impact of Francesco T. Mangano'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 Francesco T. Mangano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco T. Mangano more than expected).

Fields of papers citing papers by Francesco T. Mangano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco T. Mangano. 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 Francesco T. Mangano. The network helps show where Francesco T. Mangano may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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5 20235
6 20232
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10 20225
11 20212
12 20206
13 20185
14 201619
15 20165
16 201612
17 201411
18 201331
19 200964
20 200621

About Francesco T. Mangano

Francesco T. Mangano is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 155 papers that have together received 2.9k indexed citations. Recurring topics across this work include Epilepsy research and treatment (63 papers), Cerebrospinal fluid and hydrocephalus (45 papers), EEG and Brain-Computer Interfaces (39 papers), Neonatal and fetal brain pathology (26 papers), Fetal and Pediatric Neurological Disorders (25 papers), Advanced Neuroimaging Techniques and Applications (25 papers), Pharmacological Effects and Toxicity Studies (17 papers) and Functional Brain Connectivity Studies (16 papers). The work is most often cited by research in Psychiatry and Mental health (1.1k citations), Cellular and Molecular Neuroscience (1.1k citations) and Pediatrics, Perinatology and Child Health (936 citations). Francesco T. Mangano has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Hansel M. Greiner, Paul S. Horn, Ravindra Arya, Douglas F. Rose, Katherine D. Holland, Weihong Yuan, Hisako Fujiwara, Dean A. Hertzler, Blaise V. Jones and James L. Leach. Their work appears in journals such as SHILAP Revista de lepidopterología, Development and Neurology.

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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