Albertina Ausema

1.0k citations
24 papers · 717 indexed · h-index 15

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 16
    • Mesenchymal stem cell research 5
    • Virus-based gene therapy research 2

Albertina Ausema

24 papers receiving 708 citations

Peers

Albertina Ausema
Comparison fields: 5 of 73
  • Hematology 363
  • Genetics 124
  • Aging 19
  • Immunology 212
  • Molecular Biology 359
Replace Deidre Daria with:
Deidre Daria United States
Sandra Olthof Netherlands
Manuel Buscarlet Canada
Hirono Iriuchishima Japan
Eriko Nitta Japan
Gudmundur L. Norddahl Sweden
Anne Gompf Germany
Matilda Rehn Sweden
Shabnam Kharazi Sweden
Theodore M. Duffy United States
Albertina Ausema relative to Deidre Daria United States Deidre Daria's profile →
Citations per field
00.5×1.5×
Deidre Daria · 1×
Citations per year

Countries citing papers authored by Albertina Ausema

Since Specialization
Citations

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

Fields of papers citing papers by Albertina Ausema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20222
2 202210
3 202163
4 20206
5 20202
6 201910
7 201915
8 201727
9 201420
10 201020
11 201066
12 200966
13 20076
14 200649
15 20056
16 2005101
17 200321
18 20027
19 200020
20 200044

About Albertina Ausema

Albertina Ausema is a scholar working on Hematology, Genetics, Cancer Research, Physiology and Immunology, having authored 24 papers that have together received 717 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Mesenchymal stem cell research (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer Cells and Metastasis (4 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (363 citations), Genetics (124 citations), Aging (19 citations), Immunology (212 citations) and Molecular Biology (359 citations). Albertina Ausema has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerald de Haan, Bert Dontje, Ronald van Os, Ellen Weersing, Leonid Bystrykh, Edo Vellenga, Leonie M. Kamminga, Sandra Olthof, Seka Lazare and Vincent van den Boom. Their work appears in journals such as Experimental Hematology, Blood, Stem Cells, British Journal of Haematology and Journal of Lipid Research.

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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