Daniela Caldirola

2.8k citations
89 papers · 1.8k · h-index 26

Impact in

Papers in

Daniela Caldirola

86 papers receiving 1.8k citations

Peers

Daniela Caldirola
Comparison fields: 5 of 123
  • Experimental and Cognitive Psychology 906
  • Behavioral Neuroscience 145
  • Biological Psychiatry 80
  • Clinical Psychology 586
  • Psychiatry and Mental health 394
Replace Valentina Lorenzetti with:
Valentina Lorenzetti Australia
Kerri J. Brown Australia
Thomas Maloney United States
Andrea Goldstein‐Piekarski United States
Go Okada Japan
Vikram K. Yeragani United States
Andrea Reinecke United Kingdom
Priti I. Parekh United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Caldirola

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Caldirola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 200496
3 201981
4 201569
5 199865
6 200163
7 199758
8 200857
9 199752
10 199550
11 200150
12 199649
13 201847
14 201246
15 201645
16 200444
17 200242
18 200939
19 199737
20 200432

About Daniela Caldirola

Daniela Caldirola is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology, Psychiatry and Mental health, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (48 papers), Mental Health Research Topics (23 papers), Child and Adolescent Psychosocial and Emotional Development (20 papers), Heart Rate Variability and Autonomic Control (12 papers), Psychosomatic Disorders and Their Treatments (8 papers), Neural and Behavioral Psychology Studies (7 papers), Obsessive-Compulsive Spectrum Disorders (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (906 citations), Behavioral Neuroscience (145 citations), Biological Psychiatry (80 citations), Clinical Psychology (586 citations) and Psychiatry and Mental health (394 citations). Daniela Caldirola has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Giampaolo Perna, Laura Bellodi, Angelo Bertani, Alessandra Alciati, Massimiliano Grassi, Cinzia Arancio, Alice Riva, Koen Schruers, Giovanni Migliarese and Roberto Teggi. Their work appears in journals such as Journal of Affective Disorders, Psychiatry Research, Journal of Clinical Psychopharmacology, American Journal of Psychiatry and Depression and Anxiety.

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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