Vincenza D’Angelo

1.3k total citations
40 papers, 1.1k citations indexed

About

Vincenza D’Angelo is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Vincenza D’Angelo has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 23 papers in Neurology and 16 papers in Molecular Biology. Recurrent topics in Vincenza D’Angelo's work include Neurological disorders and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Neuroscience and Neuropharmacology Research (11 papers). Vincenza D’Angelo is often cited by papers focused on Neurological disorders and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Neuroscience and Neuropharmacology Research (11 papers). Vincenza D’Angelo collaborates with scholars based in Italy, Switzerland and Germany. Vincenza D’Angelo's co-authors include Giuseppe Sancesario, Giorgio Bernardi, Alessandro Martorana, Francesca R. Fusco, Alessandro Stefani, Emanuela Paldino, Mauro Giorgi, Salvatore Galati, Carmela Giampà and Antonio Pisani and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Vincenza D’Angelo

40 papers receiving 1.0k citations

Peers

Vincenza D’Angelo
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 567
  • Molecular Biology 423
  • Neurology 402
  • Pharmacology 140
  • Physiology 127
Replace Hermann Russ with:
Hermann Russ Germany
Wei Dong Le United States
M. A. Mena Spain
Erik Pileblad Sweden
Federica Bono Italy
Lucia Frau Italy
Vincent Ries Germany
Liliana P. Montezinho Denmark
Dongman Chao United States
Ashley K. Pringle United Kingdom
Hermann Russ Germany View profile →
Citations per field, relative to Vincenza D’Angelo
Vincenza D’Angelo · 1×
Citations per year, relative to Vincenza D’Angelo
Vincenza D’Angelo · 1×

Countries citing papers authored by Vincenza D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Vincenza D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenza D’Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenza D’Angelo. A scholar is included among the top collaborators of Vincenza D’Angelo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vincenza D’Angelo. Vincenza D’Angelo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 18
3 5
4 6
5 39
6 17
7 40
8 19
9 9
10 36
11 28
12 21
13 26
14 33
15 33
16 42
17 38
18 13
19
Early visual dysfunction in pituitary adenomas. role of the p- and m-pathway
1
20 15

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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