A. Hagemeijer

2.4k citations
53 papers · 1.9k indexed · h-index 24

A. Hagemeijer

53 papers receiving 1.8k citations

Peers

A. Hagemeijer
Comparison fields: 5 of 78
  • Hematology 820
  • Genetics 339
  • Immunology 272
  • Molecular Biology 843
  • Genetics 340
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DG Gilliland United States
Douglas Tkachuk United States
Christine M. Morris New Zealand
A J Carroll United States
Ian D. Dubé Canada
Barbara Czepulkowski United Kingdom
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Gerlinde Mitterbauer Austria
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Citations per field
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Citations per year

Countries citing papers authored by A. Hagemeijer

Since Specialization
Citations

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

Fields of papers citing papers by A. Hagemeijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201024
2 200432
3 199816
4 199829
5 199755
6 199720
7 199516
8 199418
9 1994107
10 19936
11 199261
12 199162
13
The prognostic significance of chromosomal findings in patients with acute myeloid leukemia in a study comparing the efficacy of autologous and allogeneic bone marrow transplantation.
19918
14 19891
15
Expression of c-sis (PDGF B-chain) and PDGF A-chain genes in ten human malignant mesothelioma cell lines derived from primary and metastatic tumors.
198881
16 198623
17 198135
18 198046
19 19733
20 19724

About A. Hagemeijer

A. Hagemeijer is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (16 papers), Chronic Lymphocytic Leukemia Research (10 papers), Acute Lymphoblastic Leukemia research (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Chromosomal and Genetic Variations (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Hematology (820 citations), Genetics (339 citations), Immunology (272 citations), Molecular Biology (843 citations) and Genetics (340 citations). A. Hagemeijer has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include A. Westerveld, D. Bootsma, D. C. van der Plas, A.H.M. Geurts van Kessel, H. van Someren, P. Meera Khan, Bob Löwenberg, E.M.E. Smit, J.M.N. Hoovers and Herman Van den Berghe. Their work appears in journals such as Blood, Cytogenetic and Genome Research, Leukemia, Human Genetics and The Journal of Immunology.

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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