Daniela Lens

1.3k citations
40 papers · 898 indexed · h-index 15

Daniela Lens

35 papers receiving 882 citations

Peers

Daniela Lens
Comparison fields: 5 of 70
  • Genetics 467
  • Pathology and Forensic Medicine 397
  • Immunology 298
  • Hematology 114
  • Oncology 246
Replace Erich Piovan with:
Erich Piovan Italy
Amedea Donelli Italy
S Shane United States
William Siders United States
HE Heslop United States
Emilienne Kühlein France
Ilseung Choi Japan
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Citations per field
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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-authorship network

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
#Work
1 20251
2 20250
3 20232
4 20222
5 20217
6 202020
7 202017
8 20194
9
[Adult T-cell leukemia/lymphoma. Report of a case in Uruguay].
20172
10
Estudio del ratio de FLT3-ITD como factor pronóstico en leucemias agudas mieloides: primeros casos estudiados en Uruguay
20160
11 201545
12 201212
13 201020
14 20099
15
D-dímeros ELISA en el control biológico de los tratamientos con heparina de bajo peso molecular del embarazo
20060
16
Prevalencia de altas concentraciones de lipoproteína (a) en embarazos complicados con restricción del crecimiento fetal intrauterino
20051
17 200035
18 199773
19
Differential TdT expression in acute leukemia by flow cytometry: a quantitative study.
199513
20 199562

About Daniela Lens

Daniela Lens is a scholar working on Genetics, Hematology, Immunology, Internal Medicine and Pathology and Forensic Medicine, having authored 40 papers that have together received 898 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (5 papers), Virus-based gene therapy research (4 papers), Cancer Research and Treatments (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Genetics (467 citations), Pathology and Forensic Medicine (397 citations), Immunology (298 citations), Hematology (114 citations) and Oncology (246 citations). Daniela Lens has collaborated with scholars based in Uruguay, United Kingdom and Brazil. Frequent co-authors include Daniel Catovsky, Nahla Farahat, Martin J.S. Dyer, E Matutes, Sofía Grille, J. Ellis, José A. García‐Marco, David Oscier, A. Copplestone and G. John Swansbury. Their work appears in journals such as British Journal of Haematology, Blood, Leukemia Research, Leukemia 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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