Daniele Fancelli

1.5k citations
18 papers · 596 indexed · h-index 11
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics 4
    • Click Chemistry and Applications 2
    • Asymmetric Synthesis and Catalysis 2
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments 2
    • Cancer-related Molecular Pathways 5
    • Chronic Lymphocytic Leukemia Research 2
    • Cholesterol and Lipid Metabolism 3
    • Photosynthetic Processes and Mechanisms 2

Daniele Fancelli

16 papers receiving 571 citations

Peers

Daniele Fancelli
Comparison fields: 5 of 65
  • Cell Biology 137
  • Organic Chemistry 185
  • Hematology 70
  • Oncology 147
  • Genetics 53
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Citations per year

Countries citing papers authored by Daniele Fancelli

Since Specialization
Citations

This map shows the geographic impact of Daniele Fancelli'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 Daniele Fancelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Fancelli more than expected).

Fields of papers citing papers by Daniele Fancelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Fancelli. 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 Daniele Fancelli. The network helps show where Daniele Fancelli may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniele Fancelli, 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 Daniele Fancelli Line = papers co-authored together Daniele Fancelli links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202018
2 201472
3 201411
4 201456
5 2007102
6
Targeted inhibition of the gatekeeper mutant T315I of Bcr-Abl by an Aurora kinase inhibitor
20071
7 20060
8 2006126
9 200546
10 200510
11
Preparation of heterobicyclic pyrazole derivatives as kinase inhibitors
20043
12
3-Amino-pyrrolo[3,4-c]pyrazoles: A new class of CDK2 inhibitors.
20043
13 199768
14 199612
15 19954
16 19950
17 19942
18 198962

About Daniele Fancelli

Daniele Fancelli is a scholar working on Genetics, Biochemistry and Cell Biology, having authored 18 papers that have together received 596 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (4 papers), Cholesterol and Lipid Metabolism (3 papers), Click Chemistry and Applications (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Asymmetric Synthesis and Catalysis (2 papers). The work is most often cited by research in Cell Biology (137 citations), Organic Chemistry (185 citations) and Hematology (70 citations). Daniele Fancelli has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Carlotta Granchi, Filippo Minutolo, D. Severino, Angelo Bedeschi, Maria Chiara Fagnola, Luisa Rusconi, Patrizia Carpinelli, Chiara Soncini, Mario Varasi and Roberto Santi. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Expert Opinion on Therapeutic Patents, Cancer Research, Clinical Cancer Research and Tetrahedron Letters.

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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