Laura Bianchi
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Aging top 0.2%
- Surgery top 10%
- Co-authors
- Monica DriscollArthur BrownLorenza TacchiniAldo Bernelli‐ZazzeraGaetano CairoCarlo NapolitanoPeter J. SchwartzEnzo Wanke
- Topics
- Genetics, Aging, and Longevity in Model Organisms (36 papers)Ion channel regulation and function (26 papers)Neuroscience and Neuropharmacology Research (15 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Laura Bianchi
120 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 911
- Cellular and Molecular Neuroscience 730
- Aging 585
- Surgery 394
Countries citing papers authored by Laura Bianchi
This map shows the geographic impact of Laura Bianchi'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 Laura Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Bianchi more than expected).
Fields of papers citing papers by Laura Bianchi
This network shows the impact of papers produced by Laura Bianchi. 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 Laura Bianchi. The network helps show where Laura Bianchi may publish in the future.
Co-authorship network of co-authors of Laura Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Bianchi. A scholar is included among the top collaborators of Laura Bianchi 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 Laura Bianchi. Laura Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 22 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | 28 | |
| 7 | Rectal Optical Markers for In-vivo Risk Stratification of Premalignant Colorectal Lesions. | 4 |
| 8 | 24 | |
| 9 | 45 | |
| 10 | 1 | |
| 11 | 66 | |
| 12 | 34 | |
| 13 | 109 | |
| 14 | 5 | |
| 15 | 108 | |
| 16 | 61 | |
| 17 | 59 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | Platelet receptors - Some methodological approaches | 1 |
About Laura Bianchi
Laura Bianchi is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 123 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (36 papers), Ion channel regulation and function (26 papers) and Neuroscience and Neuropharmacology Research (15 papers). The work is most often cited by research in Aging (585 citations), Endocrine and Autonomic Systems (323 citations) and Cellular and Molecular Neuroscience (730 citations). Laura Bianchi has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Monica Driscoll, Arthur Brown, Lorenza Tacchini, Aldo Bernelli‐Zazzera, Gaetano Cairo, Carlo Napolitano, Peter J. Schwartz, Enzo Wanke, Silvia G. Priori and Massimo Olivotto. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Neuron.
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.