Paola Motta
- Molecular Medicine top 10%
- Pharmacology
- Epidemiology
- Applied Microbiology and Biotechnology top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Anna CataniaLorena AiraghiPhilipp KnechtlePatrick VélicitatKeith S. KayeCarla PettenatiFabio BrambillaMaria Grazia Manfredi
- Topics
- Antibiotic Resistance in Bacteria (4 papers)Antibiotics Pharmacokinetics and Efficacy (4 papers)Maternal Mental Health During Pregnancy and Postpartum (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Paola Motta
20 papers receiving 249 citations
Peers
Comparison fields: 5 of 78
- Molecular Medicine 65
- Pharmacology 61
- Epidemiology 60
- Applied Microbiology and Biotechnology 39
- Endocrinology, Diabetes and Metabolism 38
Countries citing papers authored by Paola Motta
This map shows the geographic impact of Paola Motta'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 Paola Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Motta more than expected).
Fields of papers citing papers by Paola Motta
This network shows the impact of papers produced by Paola Motta. 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 Paola Motta. The network helps show where Paola Motta may publish in the future.
Co-authorship network of co-authors of Paola Motta
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Motta. A scholar is included among the top collaborators of Paola Motta 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 Paola Motta. Paola Motta 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 | 61 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | Perinatal and postpartum depression: From attachment to personality. A pilot study | 10 |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 68 | |
| 15 | Effects of captopril on the development of rat doxorubicin nephropathy. | 5 |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 16 |
About Paola Motta
Paola Motta is a scholar working on Molecular Medicine, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 261 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Maternal Mental Health During Pregnancy and Postpartum (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (39 citations), Molecular Medicine (65 citations) and Behavioral Neuroscience (17 citations). Paola Motta has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Anna Catania, Lorena Airaghi, Philipp Knechtle, Patrick Vélicitat, Keith S. Kaye, Carla Pettenati, Fabio Brambilla, Maria Grazia Manfredi, James M. Lipton and Adam Belley. Their work appears in journals such as JAMA, Antimicrobial Agents and Chemotherapy and The Journals of Gerontology Series A.
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.