A.C. Lambrechts

14 papers receiving 433 citations

Peers

A.C. Lambrechts
Comparison fields: 5 of 57
  • Genetics 76
  • Pathology and Forensic Medicine 117
  • Oncology 164
  • Cancer Research 68
  • Immunology 71
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Pearson Pl Netherlands
Toshiko Yamochi Japan
F. Vega France
Mahmoud Mansouri Sweden
Emilio Cosimo United Kingdom
Kenji Wakiya Japan
JM Heward United Kingdom
Mercedes Garcı́a-Gila Spain
J. Thick United Kingdom
Tamara Utermark United States
A.C. Lambrechts relative to Pearson Pl Netherlands Pearson Pl's profile →
Citations per field
00.5×4.5×
Pearson Pl · 1×
Citations per year

Countries citing papers authored by A.C. Lambrechts

Since Specialization
Citations

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

Fields of papers citing papers by A.C. Lambrechts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.C. Lambrechts. 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 A.C. Lambrechts. The network helps show where A.C. Lambrechts may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Detection of circulating breast tumor cells by differential expression of marker genes.
200274
2 199067
3 199957
4 199856
5 199444
6 199344
7
Detection of residual disease in translocation (14;18) positive non-Hodgkin's lymphoma, using the polymerase chain reaction: a comparison with conventional staging methods.
199224
8 199420
9 199018
10 199517
11 19797
12
Genomic organization of the translocations (8;14) and (14;18) in a new lymphoma cell line.
19946
13 19932
14
Moderate mental-retardation and atypical phenotype in mosaic 18 trisomy
19791

About A.C. Lambrechts

A.C. Lambrechts is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Genetics, Oncology and Immunology, having authored 14 papers that have together received 437 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), T-cell and Retrovirus Studies (2 papers), Viral-associated cancers and disorders (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Genetics (76 citations), Pathology and Forensic Medicine (117 citations), Oncology (164 citations), Cancer Research (68 citations) and Immunology (71 citations). A.C. Lambrechts has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Sjoerd Rodenhuis, Laura J. van’t Veer, Lambert C. J. Dorssers, Mars B. vanʼt Veer, Astrid J Bosma, Ben C. Tilly, Wouter H. Moolenaar, Siegfried W. de Laat, Leon G.J. Tertoolen and Augustinus A. M. Hart. Their work appears in journals such as Blood, Journal of Clinical Oncology, Breast Cancer Research and Treatment, Human Genetics and FEBS 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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