Daniele Marcotulli

827 citations
29 papers · 508 · h-index 12

Impact in

Papers in

Daniele Marcotulli

25 papers receiving 500 citations

Peers

Daniele Marcotulli
Comparison fields: 5 of 86
  • Clinical Psychology 157
  • Behavioral Neuroscience 23
  • Biological Psychiatry 13
  • Cognitive Neuroscience 102
  • Cellular and Molecular Neuroscience 94
Replace Suzanne Wood with:
Suzanne Wood United States
Nina M. Shinday United States
Paul S. Regier United States
Seog Ju Kim South Korea
Federico Tonioni Italy
Pingyuan Gong China
Amihai Rigbi Israel
Na Zhong China
A. M. Owen United Kingdom
Yavor Yalachkov Germany
Daniele Marcotulli relative to Suzanne Wood United States Suzanne Wood's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniele Marcotulli

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Marcotulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 202178
3 201970
4 201942
5 201541
6 202136
7 202226
8 202022
9 202021
10 202316
11 202212
12 202311
13 202211
14 20179
15 20225
16 20234
17 20224
18 20244
19 20243
20 20182

About Daniele Marcotulli

Daniele Marcotulli is a scholar working on Clinical Psychology, Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology, having authored 29 papers that have together received 508 indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (5 papers), Autism Spectrum Disorder Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Eating Disorders and Behaviors (3 papers), COVID-19 and Mental Health (3 papers), Alzheimer's disease research and treatments (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Clinical Psychology (157 citations), Behavioral Neuroscience (23 citations), Biological Psychiatry (13 citations), Cognitive Neuroscience (102 citations) and Cellular and Molecular Neuroscience (94 citations). Daniele Marcotulli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Benedetto Vitiello, Chiara Davico, Federica Ricci, Samara Miller, Larry S. Zweifel, Angela Shen, Federico Amianto, Ada Ghiggia, Sandra Bajjalieh and Raffaele Giorgetti. Their work appears in journals such as Frontiers in Psychiatry, International Journal of Environmental Research and Public Health, Nutrients, Journal of Neuroscience and European 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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