Daniela Oliva

530 total citations
32 papers, 427 citations indexed

About

Daniela Oliva is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Daniela Oliva has authored 32 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Pharmacology. Recurrent topics in Daniela Oliva's work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers) and Nitric Oxide and Endothelin Effects (5 papers). Daniela Oliva is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers) and Nitric Oxide and Endothelin Effects (5 papers). Daniela Oliva collaborates with scholars based in Italy, Australia and United States. Daniela Oliva's co-authors include S. Nicosia, G. Pilar, G. Giannattasio, Giancarlo Folco, Maria Rosa Accomazzo, R. Fumagalli, Ann F. Welton, G. Enrico Rovati, Alberto Corsini and A. Spada and has published in prestigious journals such as Journal of Neuroscience, Biochemical Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Daniela Oliva

30 papers receiving 418 citations

Peers

Daniela Oliva
Comparison fields: 5 of 87
  • Molecular Biology 159
  • Cellular and Molecular Neuroscience 128
  • Physiology 109
  • Pharmacology 79
  • Pulmonary and Respiratory Medicine 43
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Citations per field, relative to Daniela Oliva
Daniela Oliva · 1×
Citations per year, relative to Daniela Oliva
Daniela Oliva · 1×

Countries citing papers authored by Daniela Oliva

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Oliva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Oliva

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Oliva. A scholar is included among the top collaborators of Daniela Oliva 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 Daniela Oliva. Daniela Oliva 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 1
2 3
3 1
4 2
5 27
6 25
7 29
8 14
9 4
10 2
11 70
12
Contractile and binding activities of structural analogues of LTC4 in the longitudinal muscle of guinea-pig ileum.
8
13 9
14
PGI2 receptors in vasculature and platelets: 5Z-carbacyclin discriminates between them.
4
15 31
16 22
17
Differential effects of in vitro ethanol on prostaglandin E1-sensitive adenylate cyclase from smooth muscle cells and platelets.
4
18 9
19
Properties of cytosolic proteins that confer vasoactive intestinal polypeptide-sensitivity to rat brain adenylate cyclase.
2
20 26

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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