Daniela Oliva

530 citations
32 papers · 427 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 6
    • Nitric Oxide and Endothelin Effects 5
    • Asthma and respiratory diseases 4
    • Adenosine and Purinergic Signaling 3

Daniela Oliva

30 papers receiving 418 citations

Peers

Daniela Oliva
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 128
  • Biochemistry 41
  • Behavioral Neuroscience 17
  • Pharmacology 79
  • Physiology 109
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199170
2 198538
3 198731
4 199729
5 202227
6 198226
7 200325
8 198324
9 198722
10
Pharmacological studies on the mode of action of flavoxate.
198415
11 199414
12
Prostacyclin-sensitive adenylate cyclase and prostacyclin binding sites in platelets and smooth muscle cells.
198413
13 198412
14 198710
15 19899
16 19849
17
Contractile and binding activities of structural analogues of LTC4 in the longitudinal muscle of guinea-pig ileum.
19908
18 19847
19
Pharmacological activities of the main metabolite of flavoxate 3-methylflavone-8-carboxylic acid.
19887
20 19846

About Daniela Oliva

Daniela Oliva is a scholar working on Molecular Biology, Physiology, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 32 papers that have together received 427 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Inflammatory mediators and NSAID effects (5 papers), Asthma and respiratory diseases (4 papers), Adenosine and Purinergic Signaling (3 papers), Analytical Methods in Pharmaceuticals (2 papers) and Pesticide and Herbicide Environmental Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (128 citations), Biochemistry (41 citations), Behavioral Neuroscience (17 citations), Pharmacology (79 citations) and Physiology (109 citations). Daniela Oliva has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include S. Nicosia, G. Pilar, G. Giannattasio, Maria Rosa Accomazzo, Giancarlo Folco, R. Fumagalli, Ann F. Welton, Anna Spada, Alberto Corsini and G. Enrico Rovati. Their work appears in journals such as Biochemical Pharmacology, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Inflammation Research and Macromolecular Materials and Engineering.

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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