Elena Saccenti
- Molecular Biology
- Cancer Research top 10%
- Genetics top 5%
- Immunology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Massimo NegriniManuela FerracinLaura LupiniFrancesco CavazziniAntonio CuneoBarbara ZagattiElena MiottoElisa Callegari
- Topics
- Chronic Lymphocytic Leukemia Research (13 papers)Immunodeficiency and Autoimmune Disorders (9 papers)Lymphoma Diagnosis and Treatment (9 papers)
- Cited by
- Cancer ResearchGeneticsImmunology
- Journals
- BloodOncogeneMolecular Cancer
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Elena Saccenti
21 papers receiving 577 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 317
- Cancer Research 274
- Genetics 180
- Immunology 149
- Pathology and Forensic Medicine 125
Countries citing papers authored by Elena Saccenti
This map shows the geographic impact of Elena Saccenti'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 Elena Saccenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Saccenti more than expected).
Fields of papers citing papers by Elena Saccenti
This network shows the impact of papers produced by Elena Saccenti. 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 Elena Saccenti. The network helps show where Elena Saccenti may publish in the future.
Co-authorship network of co-authors of Elena Saccenti
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Saccenti. A scholar is included among the top collaborators of Elena Saccenti 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 Elena Saccenti. Elena Saccenti 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 | 23 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | AN EXTENSIVE MOLECULAR CYTOGENETIC CHARACTERIZATION IN HIGH-RISK CHRONIC LYMPHOCYTIC LEUKEMIA IDENTIFIES KARYOTYPE ABERRATIONS AND TP53 DISRUPTION AS PREDICTORS OF OUTCOME AND CHEMOREFRACTORINESS | 1 |
| 7 | 18 | |
| 8 | 1 | |
| 9 | Characterisation of peripheral blood mononuclear cell microRNA in early onset psoriatic arthritis. | 36 |
| 10 | 12 | |
| 11 | 17 | |
| 12 | 27 | |
| 13 | 78 | |
| 14 | 95 | |
| 15 | 74 | |
| 16 | 17 | |
| 17 | 7 | |
| 18 | 50 | |
| 19 | 16 | |
| 20 | 88 |
About Elena Saccenti
Elena Saccenti is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine, having authored 21 papers that have together received 584 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Immunodeficiency and Autoimmune Disorders (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Cancer Research (274 citations), Genetics (180 citations) and Immunology (149 citations). Elena Saccenti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Massimo Negrini, Manuela Ferracin, Laura Lupini, Francesco Cavazzini, Antonio Cuneo, Barbara Zagatti, Elena Miotto, Elisa Callegari, Maria Ciccone and Antonio Frassoldati. Their work appears in journals such as Blood, Oncogene and Molecular Cancer.
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.