N. Lucarini
- Molecular Biology
- Genetics
- Physiology
- Pediatrics, Perinatology and Child Health top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- F. Gloria‐BottiniE. BottiniPaola BorgianiValerio NapolioniConcetta Lupo Di PriscoFrancesco Dessı̀-FulgheriA. AmanteNunzio Bottini
- Topics
- Protein Tyrosine Phosphatases (11 papers)Neonatal Health and Biochemistry (9 papers)Gestational Diabetes Research and Management (9 papers)
- Journals
- Journal of Allergy and Clinical ImmunologyCellular and Molecular Life SciencesInternational Journal of Epidemiology
- Partner nations
- ItalyUnited StatesIraq
In The Last Decade
N. Lucarini
58 papers receiving 589 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 212
- Genetics 155
- Physiology 141
- Pediatrics, Perinatology and Child Health 120
- Endocrinology, Diabetes and Metabolism 72
Countries citing papers authored by N. Lucarini
This map shows the geographic impact of N. Lucarini'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 N. Lucarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Lucarini more than expected).
Fields of papers citing papers by N. Lucarini
This network shows the impact of papers produced by N. Lucarini. 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 N. Lucarini. The network helps show where N. Lucarini may publish in the future.
Co-authorship network of co-authors of N. Lucarini
This figure shows the co-authorship network connecting the top 25 collaborators of N. Lucarini. A scholar is included among the top collaborators of N. Lucarini 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 N. Lucarini. N. Lucarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 40 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | RH blood groups and diabetic disorders: is there an effect on glycosylated hemoglobin level? | 11 |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 14 | |
| 13 | 25 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 24 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 2 |
About N. Lucarini
N. Lucarini is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Physiology, having authored 59 papers that have together received 618 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (11 papers), Neonatal Health and Biochemistry (9 papers) and Gestational Diabetes Research and Management (9 papers). The work is most often cited by research in Aging (20 citations), Behavioral Neuroscience (28 citations) and Obstetrics and Gynecology (56 citations). N. Lucarini has collaborated with scholars based in Italy, United States and Iraq. Frequent co-authors include F. Gloria‐Bottini, E. Bottini, Paola Borgiani, Valerio Napolioni, Concetta Lupo Di Prisco, Francesco Dessı̀-Fulgheri, A. Amante, Nunzio Bottini, P. Lucarelli and Francesco M. Carpi. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Cellular and Molecular Life Sciences and International Journal of Epidemiology.
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.