Daniela Riganelli

2.0k citations
19 papers · 1.6k · h-index 14

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Protein Degradation and Inhibitors 3
    • RNA Interference and Gene Delivery 3
    • Acute Myeloid Leukemia Research 5

Daniela Riganelli

19 papers receiving 1.6k citations

Peers

Daniela Riganelli
Comparison fields: 5 of 115
  • Hematology 372
  • Computational Theory and Mathematics 323
  • Immunology 320
  • Molecular Biology 994
  • Analytical Chemistry 124
Replace N. Hirayama with:
N. Hirayama Japan
Richard Cummings United States
Lawrence W. Anderson United States
Mohane Selvaraj Coumar India
Anthony M. Giannetti United States
André Strauss Switzerland
Kantharaj Ethirajulu Singapore
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Jean‐Philippe Lambert Canada
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Citations per field
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N. Hirayama · 1×
Citations per year

Countries citing papers authored by Daniela Riganelli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniela Riganelli Line = papers co-authored together Daniela Riganelli links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
High-efficiency gene transfer and selection of human hematopoietic progenitor cells with a hybrid EBV/retroviral vector expressing the green fluorescence protein.
1998314
2 1993289
3 2003196
4 1995161
5 1992114
6 1992107
7 199888
8 199783
9 199861
10 200155
11 199844
12
The localization of the HRX/ALL1 protein to specific nuclear subdomains is altered by fusion with its eps15 translocation partner.
199735
13 199625
14 199418
15 200311
16 19956
17 19905
18
Towards a Europe inspired training of chemistry teachers
20152
19
Functional genomics of the B-box gene family reveals a possible role in subcellular compartmentalization
19991

About Daniela Riganelli

Daniela Riganelli is a scholar working on Molecular Biology, Hematology, Immunology, Analytical Chemistry and Computational Theory and Mathematics, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Immunotherapy and Immune Responses (4 papers), Retinoids in leukemia and cellular processes (4 papers), Protein Degradation and Inhibitors (3 papers), Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (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, C Peschle, Andrea Mencarelli, Garry P. Nolan and Timothy J. Kinsella. 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.

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