Carolina Bianchi
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Clinical Psychology top 10%
- Behavioral Neuroscience top 5%
- Co-authors
- Armando PiccinniAlessandro Del DebbioLuciano DomeniciGabriele MassimettiLiliana Dell’OssoDonatella MarazzitiIsabella RoncagliaNicola Origlia
- Topics
- Reproductive Physiology in Livestock (18 papers)Reproductive Biology and Fertility (9 papers)Genetic and phenotypic traits in livestock (8 papers)
- Journals
- Journal of Affective DisordersTheriogenologyProgress in Neuro-Psychopharmacology and Biological Psychiatry
- Partner nations
- ArgentinaItalyUnited States
In The Last Decade
Carolina Bianchi
28 papers receiving 652 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 278
- Developmental Neuroscience 147
- Cognitive Neuroscience 144
- Clinical Psychology 141
- Behavioral Neuroscience 135
Countries citing papers authored by Carolina Bianchi
This map shows the geographic impact of Carolina 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 Carolina Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Bianchi more than expected).
Fields of papers citing papers by Carolina Bianchi
This network shows the impact of papers produced by Carolina 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 Carolina Bianchi. The network helps show where Carolina Bianchi may publish in the future.
Co-authorship network of co-authors of Carolina Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Bianchi. A scholar is included among the top collaborators of Carolina 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 Carolina Bianchi. Carolina 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 60 | |
| 17 | 17 | |
| 18 | 122 | |
| 19 | 107 | |
| 20 | 175 |
About Carolina Bianchi
Carolina Bianchi is a scholar working on Equine, Agronomy and Crop Science and Reproductive Medicine, having authored 33 papers that have together received 671 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (18 papers), Reproductive Biology and Fertility (9 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Behavioral Neuroscience (135 citations), Biological Psychiatry (94 citations) and Developmental Neuroscience (147 citations). Carolina Bianchi has collaborated with scholars based in Argentina, Italy and United States. Frequent co-authors include Armando Piccinni, Alessandro Del Debbio, Luciano Domenici, Gabriele Massimetti, Liliana Dell’Osso, Donatella Marazziti, Isabella Roncaglia, Nicola Origlia, Mario Catena Dell’Osso and Eleonora Da Pozzo. Their work appears in journals such as Journal of Affective Disorders, Theriogenology and Progress in Neuro-Psychopharmacology and Biological Psychiatry.
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.