Sara Bianco

571 citations
19 papers · 465 · h-index 13

Impact in

    • Neuropeptides and Animal Physiology
    • DNA and Nucleic Acid Chemistry
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • Receptor Mechanisms and Signaling
    • RNA and protein synthesis mechanisms

Papers in

Sara Bianco

18 papers receiving 464 citations

Peers

Sara Bianco
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 106
  • Molecular Biology 309
  • Toxicology 12
  • Hepatology 27
  • Cancer Research 31
Replace Srinivasan Krishnan with:
Srinivasan Krishnan United States
Gabriella Fábián Hungary
Gemma Wallis United States
Michael Orloff United States
Dechang Zhang China
Masaaki Funata Japan
Caiying Ye China
Susumu Tsujimoto Japan
Roxana Samimi United States
Anna A. Rybczynska Netherlands
Sara Bianco relative to Srinivasan Krishnan United States Srinivasan Krishnan's profile →
Citations per field
00.5×1.5×2.1×
Srinivasan Krishnan · 1×
Citations per year

Countries citing papers authored by Sara Bianco

Since Specialization
Citations

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

Fields of papers citing papers by Sara Bianco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012101
2 201659
3 201157
4 201035
5 201831
6 201527
7 200925
8 201524
9 201423
10 201718
11 201314
12 201714
13 202213
14 20179
15 20166
16 20175
17
Airway obstruction and inflammation : present status and perspectives
19902
18 20142
19 20180

About Sara Bianco

Sara Bianco is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cancer Research and Oncology, having authored 19 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Neuropeptides and Animal Physiology (3 papers), Pain Mechanisms and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Receptor Mechanisms and Signaling (2 papers), Diabetes and associated disorders (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (106 citations), Molecular Biology (309 citations), Toxicology (12 citations), Hepatology (27 citations) and Cancer Research (31 citations). Sara Bianco has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Claudia Sissi, Claudio Trapella, Caterina Musetti, Manlio Palumbo, Girolamo Calò, A. Paul Krapcho, Chiara Ruzza, Irene Bessi, Harald Schwalbe and Anna Rita Bilia. Their work appears in journals such as Dalton Transactions, Journal of Medicinal Chemistry, Scientific Reports, Chemical Communications and Journal of Neuro-Oncology.

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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