Marina Bianchi
- Molecular Biology top 10%
- Immunology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Internal Medicine top 1%
- Surgery top 10%
- Co-authors
- Pietro GhezziRiccardo BertiniKevin J. TraceyBarbara SherryWalter AgenoAnthony CeramiMauro SilingardiPeter Ulrich
- Topics
- Immune Response and Inflammation (11 papers)Economic Theory and Institutions (9 papers)Economic theories and models (7 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesThe Journal of Experimental Medicine
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Marina Bianchi
82 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Molecular Biology 849
- Immunology 714
- Cardiology and Cardiovascular Medicine 507
- Internal Medicine 479
- Surgery 371
Countries citing papers authored by Marina Bianchi
This map shows the geographic impact of Marina 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 Marina Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Bianchi more than expected).
Fields of papers citing papers by Marina Bianchi
This network shows the impact of papers produced by Marina 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 Marina Bianchi. The network helps show where Marina Bianchi may publish in the future.
Co-authorship network of co-authors of Marina Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Bianchi. A scholar is included among the top collaborators of Marina 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 Marina Bianchi. Marina 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 | Tibor Scitovsky as behavioral economist | 0 |
| 2 | 0 | |
| 3 | Discorso sull’educazione fisica e morale delle donne | 1 |
| 4 | 9 | |
| 5 | 10 | |
| 6 | Aspirin for Preventing the Recurrence of Venous Thromboembolismbreakdown → | 418 |
| 7 | 16 | |
| 8 | If Happiness is so Important, Why Do We Know So Little About It? | 0 |
| 9 | 57 | |
| 10 | 109 | |
| 11 | 7 | |
| 12 | Evolutionary Metaphors and the Justification of Economic Efficiency | 1 |
| 13 | Strategic interactions in economics: the game theoretic alternative | 3 |
| 14 | 196 | |
| 15 | 12 | |
| 16 | 19 | |
| 17 | 239 | |
| 18 | 38 | |
| 19 | 39 | |
| 20 | 28 |
About Marina Bianchi
Marina Bianchi is a scholar working on General Decision Sciences, Pharmacology and Internal Medicine, having authored 92 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Economic Theory and Institutions (9 papers) and Economic theories and models (7 papers). The work is most often cited by research in Internal Medicine (479 citations), Biological Psychiatry (101 citations) and Pharmacology (297 citations). Marina Bianchi has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Pietro Ghezzi, Riccardo Bertini, Kevin J. Tracey, Barbara Sherry, Walter Ageno, Anthony Cerami, Mauro Silingardi, Peter Ulrich, Pia Villa and Minghuang Zhang. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.