Daniela Rizzi

634 citations
15 papers · 542 · h-index 12

Impact in

Papers in

Daniela Rizzi

15 papers receiving 533 citations

Peers

Daniela Rizzi
Comparison fields: 5 of 43
  • Cellular and Molecular Neuroscience 506
  • Reproductive Medicine 82
  • Molecular Biology 485
  • Behavioral Neuroscience 21
  • Physiology 148
Replace Jennifer P. Ryan‐Moro with:
Jennifer P. Ryan‐Moro United States
Bernard Labeeuw France
Ilona Berzétei Hungary
Yoshikazu Katao Japan
Mitsuru Miyaji Japan
Horace H. Loh United States
Anthony Clemmons United States
Jean Cros France
JC Hunter United Kingdom
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Daniela Rizzi relative to Jennifer P. Ryan‐Moro United States Jennifer P. Ryan‐Moro's profile →
Citations per field
00.5×4.2×
Jennifer P. Ryan‐Moro · 1×
Citations per year

Countries citing papers authored by Daniela Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2002148
2 200277
3 200245
4 200140
5 200239
6 200137
7 200033
8 200528
9 200225
10 200522
11 200113
12 200312
13 200011
14 200411
15 20021

About Daniela Rizzi

Daniela Rizzi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Reproductive Medicine and Genetics, having authored 15 papers that have together received 542 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (14 papers), Pain Mechanisms and Treatments (5 papers), Chemical Synthesis and Analysis (4 papers), Hypothalamic control of reproductive hormones (3 papers), Transcranial Magnetic Stimulation Studies (1 paper), Biochemical and Structural Characterization (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (506 citations), Reproductive Medicine (82 citations), Molecular Biology (485 citations), Behavioral Neuroscience (21 citations) and Physiology (148 citations). Daniela Rizzi has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Remo Guerrini, D. Regoli, Severo Salvadori, Anna Rizzi, Girolamo Calò, Raffaella Bigoni, Giuliano Marzola, David G. Lambert, Michele Morari and G. Calo'. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Naunyn-Schmiedeberg s Archives of Pharmacology, British Journal of Pharmacology and Life Sciences.

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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