Luisa De Risio

1.7k citations
39 papers · 1.2k · h-index 22

Impact in

Papers in

Luisa De Risio

36 papers receiving 1.1k citations

Peers

Luisa De Risio
Comparison fields: 5 of 88
  • Biological Psychiatry 62
  • Clinical Psychology 445
  • Neurology 157
  • Psychiatry and Mental health 228
  • Applied Psychology 52
Replace Frederick Sundram with:
Frederick Sundram New Zealand
Laurence Lalanne France
T. Acciavatti Italy
Tse‐Hwei Choo United States
Hisham Ziauddeen United Kingdom
Giovanni Camardese Italy
Kelly E. Courtney United States
Anne Sauvaget France
Arthur Kaladjian France
Melissa A. Culhane United States
Luisa De Risio relative to Frederick Sundram New Zealand Frederick Sundram's profile →
Citations per field
00.5×1.5×1.8×
Frederick Sundram · 1×
Citations per year

Countries citing papers authored by Luisa De Risio

Since Specialization
Citations

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

Fields of papers citing papers by Luisa De Risio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luisa De Risio. 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 Luisa De Risio. The network helps show where Luisa De Risio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 2015107
3 2012102
4 202090
5 202080
6 201358
7 201257
8 201436
9 201434
10 201433
11 201832
12 201532
13 201230
14 201930
15 201228
16 201328
17 201927
18 201925
19 202024
20 202024

About Luisa De Risio

Luisa De Risio is a scholar working on Clinical Psychology, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (6 papers), Schizophrenia research and treatment (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Gambling Behavior and Treatments (5 papers), Obsessive-Compulsive Spectrum Disorders (4 papers), Transcranial Magnetic Stimulation Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (62 citations), Clinical Psychology (445 citations), Neurology (157 citations), Psychiatry and Mental health (228 citations) and Applied Psychology (52 citations). Luisa De Risio has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giovanni Martinotti, Mauro Pettorruso, Luigi Janiri, Marco Di Nicola, Massimo Di Giannantonio, Massimo di Giannantonio, Giovanni Camardese, Lorenzo Moccia, Franco De Crescenzo and Gianluigi Conte. Their work appears in journals such as Psychiatry Research, Addictive Behaviors, Journal of Affective Disorders, Molecular Psychiatry and European Psychiatry.

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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