Susanna Antoniotti

1.7k citations
44 papers · 1.4k indexed · h-index 23

Susanna Antoniotti

44 papers receiving 1.4k citations

Peers

Susanna Antoniotti
Comparison fields: 5 of 116
  • Sensory Systems 246
  • Toxicology 55
  • Oncology 294
  • Cellular and Molecular Neuroscience 189
  • Biochemistry 60
Replace Eulalia Pozo‐Guisado with:
Eulalia Pozo‐Guisado Spain
Channy Park South Korea
Nara Lins Meira Quintão Brazil
Jaime M. Merino Spain
Fabien Van Coppenolle France
Michael Chvanov United Kingdom
Alessandra Gamberucci Italy
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Susanna Antoniotti relative to Eulalia Pozo‐Guisado Spain Eulalia Pozo‐Guisado's profile →
Citations per field
00.5×2.7×
Eulalia Pozo‐Guisado · 1×
Citations per year

Countries citing papers authored by Susanna Antoniotti

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Antoniotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 202411
3 20242
4 202331
5 202312
6 20231
7 202233
8 20219
9 201817
10 201817
11 201531
12 201219
13 20092
14 2004102
15 200168
16 19968
17 199433
18 199226
19 199165
20
Inhibition of c-erbB-2 oncogene expression by estrogens in human breast cancer cells.
1990128

About Susanna Antoniotti

Susanna Antoniotti is a scholar working on Biological Psychiatry, Sensory Systems and Biochemistry, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Ion Channels and Receptors (7 papers), Ion channel regulation and function (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Tryptophan and brain disorders (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Sensory Systems (246 citations), Toxicology (55 citations) and Oncology (294 citations). Susanna Antoniotti has collaborated with scholars based in Italy, Australia and Cameroon. Frequent co-authors include Luca Munaron, Davide Lovisolo, Alessandra Fiorio, Giulia Querio, Michele De Bortoli, Maria Pia Gallo, Claudio Dati, Federica Geddo, Renzo Levi and Daniela Taverna. Their work appears in journals such as International Journal of Molecular Sciences, Vascular Pharmacology, Nutrients, Recent Patents on Anti-Cancer Drug Discovery and International Journal of Cancer.

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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