Daniela Lisini

971 citations
36 papers · 673 · h-index 17

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Hemoglobinopathies and Related Disorders

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 5
    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 3

Daniela Lisini

36 papers receiving 662 citations

Peers

Daniela Lisini
Comparison fields: 5 of 67
  • Hematology 227
  • Genetics 176
  • Immunology 250
  • Transplantation 18
  • Oncology 164
Replace K Longin with:
K Longin United States
Amélia G. Araújo Brazil
RB Crittenden United States
Darin Sumstad United States
Rebecca H. Cho United States
Mario Ricciardi Italy
Tracey Lodie United States
Thasia Leimig United States
Keon-Il Im South Korea
NE Seidel United States
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Citations per field
00.5×8.8×
K Longin · 1×
Citations per year

Countries citing papers authored by Daniela Lisini

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lisini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200854
2 200748
3 201345
4 201638
5 202137
6 200636
7 200935
8 200635
9 200432
10 200727
11 201725
12 202023
13 202323
14 200323
15 201522
16 201818
17 200517
18 200615
19 201413
20 202112

About Daniela Lisini

Daniela Lisini is a scholar working on Immunology, Hematology, Molecular Biology, Genetics and Oncology, having authored 36 papers that have together received 673 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Immune Cell Function and Interaction (7 papers), Mesenchymal stem cell research (7 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Occupational and environmental lung diseases (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (227 citations), Genetics (176 citations), Immunology (250 citations), Transplantation (18 citations) and Oncology (164 citations). Daniela Lisini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Simona Frigerio, Rita Maccario, Anna Bersano, Sara Nava, Daniela Montagna, Franco Locatelli, Giovanna Giorgiani, Eugenio Parati, Marco Zecca and Enrica Montini. Their work appears in journals such as Blood, Cytotherapy, International Journal of Molecular Sciences, Experimental Hematology and British Journal of Haematology.

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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