Daniela Intini

896 citations
25 papers · 775 · h-index 14

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 16
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Chronic Lymphocytic Leukemia Research 3

Daniela Intini

25 papers receiving 753 citations

Peers

Daniela Intini
Comparison fields: 5 of 62
  • Hematology 333
  • Genetics 189
  • Molecular Biology 465
  • Oncology 155
  • Pathology and Forensic Medicine 102
Replace K J Henderson with:
K J Henderson United States
MARTIAL FLACTIF France
Sandeep Potluri United Kingdom
Jinlan Pan China
Lucia Nobili Italy
Kausar Jabeen Jabbar United States
Alexandra N. Christodoulou United States
Elena Vendramini Italy
Regine Leo Germany
Vijay P.S. Rawat Germany
Daniela Intini relative to K J Henderson United States K J Henderson's profile →
Citations per field
00.5×1.5×2.0×
K J Henderson · 1×
Citations per year

Countries citing papers authored by Daniela Intini

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Intini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007148
2 2005116
3 2005105
4 200160
5 200854
6 199953
7 200442
8 200129
9 200022
10 200721
11 200320
12 200819
13 200318
14 200716
15
Molecular and biological characterization of three novel interleukin-6-dependent human myeloma cell lines.
200512
16 19996
17 20066
18 20126
19 20045
20 20054

About Daniela Intini

Daniela Intini is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 25 papers that have together received 775 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Peptidase Inhibition and Analysis (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (333 citations), Genetics (189 citations), Molecular Biology (465 citations), Oncology (155 citations) and Pathology and Forensic Medicine (102 citations). Daniela Intini has collaborated with scholars based in Italy, Switzerland and Japan. Frequent co-authors include Antonino Neri, Sonia Maria Fabris, Luca Baldini, Luigia Lombardi, Luca Agnelli, Donata Verdelli, Fortunato Morabito, Vincenzo Callea, Anna Teresa Maiolo and Lucia Nobili. Their work appears in journals such as Blood, Leukemia, Genes Chromosomes and Cancer, British Journal of Haematology and Hematological 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.

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