Michela Mattioli
- Molecular Biology top 5%
- Genetics top 1%
- Hematology top 1%
- Pathology and Forensic Medicine top 2%
- Immunology top 5%
- Co-authors
- Antonino NeriRiccardo Dalla‐FaveraGemino FiorelliAndrea CalifanoLuca BaldiniAnna Ludovica FracanzaniGiorgio InghiramiLilla Cro
- Topics
- Iron Metabolism and Disorders (15 papers)Multiple Myeloma Research and Treatments (10 papers)Hemoglobinopathies and Related Disorders (8 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Michela Mattioli
64 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.3k
- Genetics 891
- Hematology 826
- Pathology and Forensic Medicine 613
- Immunology 542
Countries citing papers authored by Michela Mattioli
This map shows the geographic impact of Michela Mattioli'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 Michela Mattioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Mattioli more than expected).
Fields of papers citing papers by Michela Mattioli
This network shows the impact of papers produced by Michela Mattioli. 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 Michela Mattioli. The network helps show where Michela Mattioli may publish in the future.
Co-authorship network of co-authors of Michela Mattioli
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Mattioli. A scholar is included among the top collaborators of Michela Mattioli 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 Michela Mattioli. Michela Mattioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 31 | |
| 4 | 20 | |
| 5 | 75 | |
| 6 | 8 | |
| 7 | 133 | |
| 8 | 50 | |
| 9 | 12 | |
| 10 | 104 | |
| 11 | 73 | |
| 12 | 30 | |
| 13 | Relationship between TNFa and iron metabolism in differentiating human monocytic THP-1 cells | 1 |
| 14 | 6 | |
| 15 | Use of pregnant mares serum gonadotropin to prime the post-spawned ovary of Tilapia zillii (Gervais) prior to the induction of spawning with human chorionic gonadotropin. | 2 |
| 16 | 17 | |
| 17 | 143 | |
| 18 | 53 | |
| 19 | [Heterogeneity of the pituitary reserve of gonadotropins in children with cryptorchism]. | 1 |
| 20 | Ferritin distribution and synthesis in sex-linked anemia. | 15 |
About Michela Mattioli
Michela Mattioli is a scholar working on Hematology, Genetics and Small Animals, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (15 papers), Multiple Myeloma Research and Treatments (10 papers) and Hemoglobinopathies and Related Disorders (8 papers). The work is most often cited by research in Genetics (891 citations), Hematology (826 citations) and Pathology and Forensic Medicine (613 citations). Michela Mattioli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonino Neri, Riccardo Dalla‐Favera, Gemino Fiorelli, Andrea Califano, Luca Baldini, Anna Ludovica Fracanzani, Giorgio Inghirami, Lilla Cro, Maurizio Sampietro and Giorgio Cattoretti. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.