Daniela Riganelli
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
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- Computational Drug Discovery Methods
Papers in
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- Acute Myeloid Leukemia Research 5
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- Spectroscopy and Chemometric Analyses 4
- Co-authors
- Sérgio ClementiGabriele CrucianiMassimo BaroniPier Giuseppe PelicciGabriele CostantinoF GrignaniGarry P. NolanTimothy J. Kinsella
In The Last Decade
Daniela Riganelli
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Hematology 372
- Computational Theory and Mathematics 323
- Immunology 320
- Molecular Biology 994
- Analytical Chemistry 124
Countries citing papers authored by Daniela Riganelli
This map shows the geographic impact of Daniela Riganelli'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 Daniela Riganelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Riganelli more than expected).
Fields of papers citing papers by Daniela Riganelli
This network shows the impact of papers produced by Daniela Riganelli. 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 Daniela Riganelli. The network helps show where Daniela Riganelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Riganelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Towards a Europe inspired training of chemistry teachers | 2015 | 2 |
| 2 | 2003 | 11 | |
| 3 | 2003 | 196 | |
| 4 | 2001 | 55 | |
| 5 | Functional genomics of the B-box gene family reveals a possible role in subcellular compartmentalization | 1999 | 1 |
| 6 | 1998 | 88 | |
| 7 | 1998 | 44 | |
| 8 | 1998 | 61 | |
| 9 | High-efficiency gene transfer and selection of human hematopoietic progenitor cells with a hybrid EBV/retroviral vector expressing the green fluorescence protein. | 1998 | 314 |
| 10 | 1997 | 83 | |
| 11 | The localization of the HRX/ALL1 protein to specific nuclear subdomains is altered by fusion with its eps15 translocation partner. | 1997 | 35 |
| 12 | 1996 | 25 | |
| 13 | 1995 | 161 | |
| 14 | 1995 | 6 | |
| 15 | 1994 | 18 | |
| 16 | 1993 | 289 | |
| 17 | 1992 | 114 | |
| 18 | 1992 | 107 | |
| 19 | 1990 | 5 |
About Daniela Riganelli
Daniela Riganelli is a scholar working on Hematology, Analytical Chemistry, Statistics and Probability, Computational Theory and Mathematics and Immunology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (4 papers), Immunotherapy and Immune Responses (4 papers), Spectroscopy and Chemometric Analyses (4 papers), vaccines and immunoinformatics approaches (3 papers), Analytical Chemistry and Chromatography (3 papers), Computational Drug Discovery Methods (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Hematology (372 citations), Computational Theory and Mathematics (323 citations), Immunology (320 citations), Molecular Biology (994 citations) and Analytical Chemistry (124 citations). Daniela Riganelli has collaborated with scholars based in Italy, France and Australia. Frequent co-authors include Sérgio Clementi, Gabriele Cruciani, Massimo Baroni, Pier Giuseppe Pelicci, Gabriele Costantino, F Grignani, Garry P. Nolan, Timothy J. Kinsella, C Peschle and M Valtieri. Their work appears in journals such as Oncogene, Journal of Clinical Investigation, Journal of Chemometrics, The American Journal of Human Genetics and The Journal of Immunology.
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.