Liliana Grigore
- Epidemiology top 5%
- Immunology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Co-authors
- Alberico L. CatapanoGiuseppe Danilo NorataK. GarlaschelliSara RaselliAndrea BaragettiFabio PellegattaF.M. MaggiM. Ongari
- Topics
- Atherosclerosis and Cardiovascular Diseases (16 papers)Lipoproteins and Cardiovascular Health (15 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Liliana Grigore
67 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 102
- Epidemiology 938
- Immunology 713
- Cardiology and Cardiovascular Medicine 654
- Endocrinology, Diabetes and Metabolism 627
- Surgery 606
Countries citing papers authored by Liliana Grigore
This map shows the geographic impact of Liliana Grigore'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 Liliana Grigore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liliana Grigore more than expected).
Fields of papers citing papers by Liliana Grigore
This network shows the impact of papers produced by Liliana Grigore. 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 Liliana Grigore. The network helps show where Liliana Grigore may publish in the future.
Co-authorship network of co-authors of Liliana Grigore
This figure shows the co-authorship network connecting the top 25 collaborators of Liliana Grigore. A scholar is included among the top collaborators of Liliana Grigore 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 Liliana Grigore. Liliana Grigore 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 | 4 | |
| 3 | 23 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 47 | |
| 8 | 111 | |
| 9 | 20 | |
| 10 | 33 | |
| 11 | 73 | |
| 12 | 44 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 23 | |
| 16 | 68 | |
| 17 | 93 | |
| 18 | 52 | |
| 19 | 116 | |
| 20 | 69 |
About Liliana Grigore
Liliana Grigore is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Cardiology and Cardiovascular Medicine, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (16 papers), Lipoproteins and Cardiovascular Health (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (627 citations), Immunology (713 citations) and Cardiology and Cardiovascular Medicine (654 citations). Liliana Grigore has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Alberico L. Catapano, Giuseppe Danilo Norata, K. Garlaschelli, Sara Raselli, Andrea Baragetti, Fabio Pellegatta, F.M. Maggi, M. Ongari, L. Redaelli and Anna Ludovica Fracanzani. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.