Laura Bianchi
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Health, Toxicology and Mutagenesis top 5%
- Physiology top 10%
- Rheumatology top 5%
- Co-authors
- Luca BiniClaudia LandiMaría del Carmen Ríos de MolinaSebastián E. SabatiniAntonella RadiceRenato Alberto SinicoAlessandro ArminiCarlos M. Luquet
- Topics
- Connective tissue disorders research (7 papers)Redox biology and oxidative stress (5 papers)Bone and Dental Protein Studies (5 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Laura Bianchi
94 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 727
- Pulmonary and Respiratory Medicine 373
- Health, Toxicology and Mutagenesis 250
- Physiology 247
- Rheumatology 240
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 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | Anti-Ro/SSA-p200 antibodies in the prediction of congenital heart block. An Italian multicentre cross-sectional study on behalf of the 'Forum Interdisciplinare per la Ricerca nelle Malattie Autoimmuni (FIRMA) Group'. | 13 |
| 13 | 33 | |
| 14 | 30 | |
| 15 | 49 | |
| 16 | 22 | |
| 17 | 10 | |
| 18 | 23 | |
| 19 | 27 | |
| 20 | 9 |
About Laura Bianchi
Laura Bianchi is a scholar working on Horticulture, Rheumatology and Reproductive Medicine, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Redox biology and oxidative stress (5 papers) and Bone and Dental Protein Studies (5 papers). The work is most often cited by research in Nephrology (142 citations), Reproductive Medicine (162 citations) and Health, Toxicology and Mutagenesis (250 citations). Laura Bianchi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luca Bini, Claudia Landi, María del Carmen Ríos de Molina, Sebastián E. Sabatini, Antonella Radice, Renato Alberto Sinico, Alessandro Armini, Carlos M. Luquet, Ángela Beatriz Juárez and Assunta Gagliardi. Their work appears in journals such as JAMA, PLoS ONE and Journal of Hazardous Materials.
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.