Luana Paulesu
- Immunology top 2%
- Health, Toxicology and Mutagenesis top 2%
- Obstetrics and Gynecology top 1%
- Molecular Biology
- Pharmacology top 5%
- Co-authors
- Velio BocciFrancesca IettaRoberta RomagnoliG. P. PessinaEnrico LuzziNicoletta BechiF. CorradeschiM. Muscettola
- Topics
- Macrophage Migration Inhibitory Factor (26 papers)Reproductive System and Pregnancy (24 papers)Pregnancy and preeclampsia studies (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEnvironmental Health Perspectives
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Luana Paulesu
130 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 135
- Immunology 1.2k
- Health, Toxicology and Mutagenesis 526
- Obstetrics and Gynecology 470
- Molecular Biology 366
- Pharmacology 313
Countries citing papers authored by Luana Paulesu
This map shows the geographic impact of Luana Paulesu'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 Luana Paulesu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luana Paulesu more than expected).
Fields of papers citing papers by Luana Paulesu
This network shows the impact of papers produced by Luana Paulesu. 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 Luana Paulesu. The network helps show where Luana Paulesu may publish in the future.
Co-authorship network of co-authors of Luana Paulesu
This figure shows the co-authorship network connecting the top 25 collaborators of Luana Paulesu. A scholar is included among the top collaborators of Luana Paulesu 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 Luana Paulesu. Luana Paulesu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 16 | |
| 6 | 47 | |
| 7 | 23 | |
| 8 | 34 | |
| 9 | 11 | |
| 10 | 40 | |
| 11 | 22 | |
| 12 | 53 | |
| 13 | 35 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | Enhanced induction of plasma interferon after subcutaneous administration in rabbits of poly ICLC with albumin. | 1 |
| 17 | 14 | |
| 18 | 37 | |
| 19 | 39 | |
| 20 | 10 |
About Luana Paulesu
Luana Paulesu is a scholar working on Immunology, Obstetrics and Gynecology and Health, Toxicology and Mutagenesis, having authored 133 papers that have together received 3.0k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (26 papers), Reproductive System and Pregnancy (24 papers) and Pregnancy and preeclampsia studies (17 papers). The work is most often cited by research in Obstetrics and Gynecology (470 citations), Immunology (1.2k citations) and Health, Toxicology and Mutagenesis (526 citations). Luana Paulesu has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Velio Bocci, Francesca Ietta, Roberta Romagnoli, G. P. Pessina, Enrico Luzzi, Nicoletta Bechi, F. Corradeschi, M. Muscettola, Marcella Cintorino and Bocci. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Health Perspectives.
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.