Maria Dolores Setzu

533 citations
26 papers · 400 indexed · h-index 13

Maria Dolores Setzu

26 papers receiving 393 citations

Peers

Maria Dolores Setzu
Comparison fields: 5 of 87
  • Insect Science 93
  • Cellular and Molecular Neuroscience 125
  • Aging 10
  • Complementary and alternative medicine 36
  • Neurology 60
Replace Simone Poddighe with:
Simone Poddighe Italy
Lori M. Buhlman United States
Hakeem O. Lawal United States
Ming Gan China
Ilka Schneider Germany
S. R. Ramesh India
Sang‐Soo Lee South Korea
Abdul-Raouf Issa France
Tianxia Li United States
Xu Ding China
Maria Dolores Setzu relative to Simone Poddighe Italy Simone Poddighe's profile →
Citations per field
00.5×1.5×
Simone Poddighe · 1×
Citations per year

Countries citing papers authored by Maria Dolores Setzu

Since Specialization
Citations

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

Fields of papers citing papers by Maria Dolores Setzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Dolores Setzu. 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 Maria Dolores Setzu. The network helps show where Maria Dolores Setzu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20212
3 20202
4 202015
5 201814
6 201622
7 201445
8 201328
9 201336
10 201313
11 201211
12 201142
13 20078
14 20001
15 199913
16 19977
17 19968
18 199615
19 199417
20 19913

About Maria Dolores Setzu

Maria Dolores Setzu is a scholar working on Tourism, Leisure and Hospitality Management, Cellular and Molecular Neuroscience, Neurology, Insect Science and Complementary and alternative medicine, having authored 26 papers that have together received 400 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurobiology and Insect Physiology Research (6 papers), Insect and Pesticide Research (3 papers), Insect behavior and control techniques (3 papers), Neuropeptides and Animal Physiology (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Insect Science (93 citations), Cellular and Molecular Neuroscience (125 citations), Aging (10 citations), Complementary and alternative medicine (36 citations) and Neurology (60 citations). Maria Dolores Setzu has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Simone Poddighe, A. M. Angioy, Andrea Diana, Anna Maria Liscia, Giacomo Diaz, Raffaella Isola, Fulvia Gremo, Valeria Sogos, M. Del Fiacco and Roberto Marotta. Their work appears in journals such as PLoS ONE, Neuroreport, Peptides, Chemical Senses and Scientific Reports.

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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