D. Maestri

1.1k citations
22 papers · 839 · h-index 14

Impact in

Papers in

D. Maestri

22 papers receiving 793 citations

Peers

D. Maestri
Comparison fields: 5 of 94
  • Behavioral Neuroscience 172
  • Toxicology 141
  • Biological Psychiatry 35
  • Psychiatry and Mental health 166
  • Cellular and Molecular Neuroscience 199
Replace R. Caccavari with:
R. Caccavari Italy
Martijn S. van Noorden Netherlands
Ursula Zambelli Italy
John Giordano United States
Jeffrey Wilkins United States
M. Timpano Italy
Kate M. Chitty Australia
Wilfrid N. Raby United States
Jaana Föhr Finland
E. R�ther Germany
D. Maestri relative to R. Caccavari Italy R. Caccavari's profile →
Citations per field
00.5×1.5×
R. Caccavari · 1×
Citations per year

Countries citing papers authored by D. Maestri

Since Specialization
Citations

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

Fields of papers citing papers by D. Maestri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Maestri, 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 D. Maestri Line = papers co-authored together D. Maestri 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 1998138
2 1998120
3
Neuroendocrinologic findings in primary fibromyalgia (soft tissue chronic pain syndrome) and in other chronic rheumatic conditions (rheumatoid arthritis, low back pain)
1990105
4 199792
5 199857
6 199652
7 199442
8 199636
9 199230
10 199929
11 199522
12 199419
13 199514
14 199414
15 199312
16 199010
17 199810
18 198610
19 19979
20 19928

About D. Maestri

D. Maestri is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Social Psychology and Physiology, having authored 22 papers that have together received 839 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroendocrine regulation and behavior (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Thyroid Disorders and Treatments (2 papers), Tryptophan and brain disorders (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Behavioral Neuroscience (172 citations), Toxicology (141 citations), Biological Psychiatry (35 citations), Psychiatry and Mental health (166 citations) and Cellular and Molecular Neuroscience (199 citations). D. Maestri has collaborated with scholars based in Italy, United States and Bulgaria. Frequent co-authors include R. Caccavari, Gilberto Gerra, R Delsignore, Giuliano Giucastro, A. Zaimovic, Frăncesca Brambilla, Paola Avanzini, N Reali, Amir Zaimovic and Gianfranco Ferraccioli. Their work appears in journals such as Psychiatry Research, International Clinical Psychopharmacology, Life Sciences, Neuropsychobiology and Acta Psychiatrica Scandinavica.

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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