Monia Lunghi
- Hematology top 0.5%
- Genetics top 1%
- Oncology top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Gianluca GaïdanoPellegrino MustoDavide RossiDaniela CapelloValeria SantiniAlfonso PiciocchiRobin FoàMassimiliano Bonifacio
- Topics
- Acute Myeloid Leukemia Research (28 papers)Acute Lymphoblastic Leukemia research (14 papers)Chronic Lymphocytic Leukemia Research (13 papers)
- Cited by
- HematologyGeneticsDermatology
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Monia Lunghi
57 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Hematology 1.1k
- Genetics 636
- Oncology 492
- Molecular Biology 458
- Public Health, Environmental and Occupational Health 390
Countries citing papers authored by Monia Lunghi
This map shows the geographic impact of Monia Lunghi'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 Monia Lunghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monia Lunghi more than expected).
Fields of papers citing papers by Monia Lunghi
This network shows the impact of papers produced by Monia Lunghi. 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 Monia Lunghi. The network helps show where Monia Lunghi may publish in the future.
Co-authorship network of co-authors of Monia Lunghi
This figure shows the co-authorship network connecting the top 25 collaborators of Monia Lunghi. A scholar is included among the top collaborators of Monia Lunghi 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 Monia Lunghi. Monia Lunghi 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 | 8 | |
| 3 | 0 | |
| 4 | 56 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 129 | |
| 8 | 86 | |
| 9 | 208 | |
| 10 | 41 | |
| 11 | 82 | |
| 12 | 164 | |
| 13 | 48 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | EVALUATION OF PLASTICISER ACTIVITY ON CONNECTIVE TISSUE: HISTOLOGICAL, HISTOCHEMICAL AND BIOCHEMICAL VARIATIONS | 1 |
About Monia Lunghi
Monia Lunghi is a scholar working on Hematology, Genetics and Biochemistry, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (28 papers), Acute Lymphoblastic Leukemia research (14 papers) and Chronic Lymphocytic Leukemia Research (13 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (636 citations) and Dermatology (197 citations). Monia Lunghi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gianluca Gaïdano, Pellegrino Musto, Davide Rossi, Daniela Capello, Valeria Santini, Alfonso Piciocchi, Robin Foà, Massimiliano Bonifacio, Mario Lazzarino and Silvia Franceschetti. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.