Miranda R.M. Baert

2.7k citations
35 papers · 2.1k · h-index 25

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 5
    • Hematopoietic Stem Cell Transplantation 4

Miranda R.M. Baert

34 papers receiving 2.0k citations

Peers

Miranda R.M. Baert
Comparison fields: 5 of 91
  • Immunology 749
  • Hematology 291
  • Immunology and Allergy 135
  • Dermatology 130
  • Genetics 132
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Scott R. Brodeur United States
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Jacques VAN SNICK Belgium
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Odile Djossou France
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Citations per field
00.5×5×10×15×18.3×
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Citations per year

Countries citing papers authored by Miranda R.M. Baert

Since Specialization
Citations

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

Fields of papers citing papers by Miranda R.M. Baert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miranda R.M. Baert. 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 Miranda R.M. Baert. The network helps show where Miranda R.M. Baert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005280
2 2013193
3 2008165
4 2001147
5 1997133
6 200496
7 200696
8 200594
9 200377
10 201268
11
Wheat germ agglutinin affinity of murine hemopoietic stem cell subpopulations is an inverse function of their long-term repopulating ability in vitro and in vivo.
199362
12 200762
13 200359
14 199756
15 202152
16 200647
17 201445
18 199644
19 201537
20 202134

About Miranda R.M. Baert

Miranda R.M. Baert is a scholar working on Immunology, Hematology, Genetics, Dermatology and Immunology and Allergy, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Asthma and respiratory diseases (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Immunology (749 citations), Hematology (291 citations), Immunology and Allergy (135 citations), Dermatology (130 citations) and Genetics (132 citations). Miranda R.M. Baert has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Frank J. T. Staal, Jacques J. M. van Dongen, Floor Weerkamp, Herman J. Neijens, Edwin F. E. de Haas, A. P. Oranje, Karin Pike‐Overzet, Marcel Reinders, H.F.J. Savelkoul and Willem A. Dik. Their work appears in journals such as The Journal of Immunology, Dermatology, Leukemia, Cytokine and Blood.

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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