Daniela Lens

1.3k citations
41 papers · 1.0k · h-index 15

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 9
    • Virus-based gene therapy research 4
    • Immunodeficiency and Autoimmune Disorders 4

Daniela Lens

37 papers receiving 974 citations

Peers

Daniela Lens
Comparison fields: 5 of 70
  • Genetics 529
  • Pathology and Forensic Medicine 410
  • Immunology 281
  • Hematology 149
  • Oncology 252
Replace Ludovica Riera with:
Ludovica Riera Italy
Laura C. Hooper United States
Natalie Fadle Germany
Sara Shane United States
Martin Barrett United Kingdom
Nobuhiko Imahashi Japan
Ioan Filip United States
William Siders United States
DL Longo United States
Ingrid A. M. Derks Netherlands
Daniela Lens relative to Ludovica Riera Italy Ludovica Riera's profile →
Citations per field
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Ludovica Riera · 1×
Citations per year

Countries citing papers authored by Daniela Lens

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996250
2 1997104
3 199793
4 199785
5 199567
6 201460
7 201547
8 200046
9
Concurrent activation of MYC and BCL2 in B cell non-Hodgkin lymphoma cell lines by translocation of both oncogenes to the same immunoglobulin heavy chain locus.
199636
10
Correlation of trisomy 12 with proliferating cells by combined immunocytochemistry and fluorescence in situ hybridization in chronic lymphocytic leukemia.
199626
11 199925
12 202024
13 201021
14 200419
15 202017
16 201215
17 202114
18
Differential TdT expression in acute leukemia by flow cytometry: a quantitative study.
199513
19 200911
20 201911

About Daniela Lens

Daniela Lens is a scholar working on Genetics, Immunology, Hematology, Pathology and Forensic Medicine and Biotechnology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (6 papers), Cancer Research and Treatments (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Cancer-related Molecular Pathways (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Genetics (529 citations), Pathology and Forensic Medicine (410 citations), Immunology (281 citations), Hematology (149 citations) and Oncology (252 citations). Daniela Lens has collaborated with scholars based in Uruguay, United Kingdom and Brazil. Frequent co-authors include Daniel Catovsky, Nahla Mohamed Gamal Farahat, Estella Matutes, E Matutes, Sofía Grille, Terry John Hamblin, Jared S. Ellis, A. Copplestone, G. John Swansbury and David Graham Oscier. Their work appears in journals such as Leukemia, Leukemia Research, British Journal of Haematology, Blood and SpringerPlus.

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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