Angelo Nacca

1.3k citations
15 papers · 1.1k · h-index 10

Impact in

Papers in

Angelo Nacca

15 papers receiving 1.1k citations

Peers

Angelo Nacca
Comparison fields: 5 of 89
  • Neurology 294
  • Cellular and Molecular Neuroscience 311
  • Physical Therapy, Sports Therapy and Rehabilitation 71
  • Psychiatry and Mental health 157
  • Cognitive Neuroscience 184
Replace Meghan G. Thomas with:
Meghan G. Thomas Australia
Nil Dizdar Sweden
Joern Kaufmann Germany
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Lundy Day Canada
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Citations per field
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Citations per year

Countries citing papers authored by Angelo Nacca

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Nacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009319
2 2013201
3 2010180
4 2010146
5 2005100
6 200763
7 199933
8
111In-labeled 1,4,7,10-tetraazacyclododecane-N,N',N",N"'-tetraacetic acid-lys(8)-vasotocin: a new powerful radioligand for oxytocin receptor-expressing tumors.
200112
9
The humoral immune response to macrocyclic chelating agent DOTA depends on the carrier molecule.
200112
10 199812
11 19998
12 20055
13 19983
14
High intensity treadmill exercise upregulates striatal dopamine D2 receptor in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mice: in vivo PET-imaging with 18F-fallypride
20101
15 20011

About Angelo Nacca

Angelo Nacca is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Pharmaceutical Science and Biological Psychiatry, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (3 papers), Neurological disorders and treatments (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuroendocrine regulation and behavior (2 papers), Chemical Reactions and Isotopes (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Neurology (294 citations), Cellular and Molecular Neuroscience (311 citations), Physical Therapy, Sports Therapy and Rehabilitation (71 citations), Psychiatry and Mental health (157 citations) and Cognitive Neuroscience (184 citations). Angelo Nacca has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Beth E. Fisher, Michael Walter Jakowec, Giselle Maria Petzinger, Quanzheng Li, John P. Walsh, Arthur L. Brody, Buyean Lee, Jeanette A. Mumford, Magnus L Dahlbom and Mark A. Mandelkern. Their work appears in journals such as Movement Disorders, Clinical Cancer Research, Obesity Surgery, Journal of Neuroscience and Journal of Pharmacy and Pharmacology.

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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