Freja Ebeling

1.3k citations
50 papers · 855 · h-index 16

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Platelet Disorders and Treatments 5
    • Hemophilia Treatment and Research 4
    • Hepatitis C virus research 13

Freja Ebeling

46 papers receiving 799 citations

Peers

Freja Ebeling
Comparison fields: 5 of 96
  • Hematology 331
  • Genetics 215
  • Hepatology 108
  • Biochemistry 51
  • Epidemiology 155
Replace Philip M. Blatt with:
Philip M. Blatt United States
Dong Wook Jekarl South Korea
Mevlüt Kurt Türkiye
Pierre Wacker Switzerland
Francesca Bobbio‐Pallavicini Italy
S. Guidi Italy
Jerome Teitel Canada
Tobias J. Legler Germany
H. Hambley United Kingdom
I. J. Temperley Ireland
Freja Ebeling relative to Philip M. Blatt United States Philip M. Blatt's profile →
Citations per field
00.5×5×10×12.5×
Philip M. Blatt · 1×
Citations per year

Countries citing papers authored by Freja Ebeling

Since Specialization
Citations

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

Fields of papers citing papers by Freja Ebeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001115
2 1995110
3 200350
4 202148
5 199446
6 199746
7 202141
8 199839
9 200237
10 200936
11 200230
12 200619
13 200119
14 200318
15 199818
16 199115
17 200314
18 200813
19 201313
20 199113

About Freja Ebeling

Freja Ebeling is a scholar working on Hematology, Hepatology, Genetics, Immunology and Epidemiology, having authored 50 papers that have together received 855 indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Chronic Lymphocytic Leukemia Research (7 papers), Hepatitis B Virus Studies (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Platelet Disorders and Treatments (5 papers), Hemophilia Treatment and Research (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Hematology (331 citations), Genetics (215 citations), Hepatology (108 citations), Biochemistry (51 citations) and Epidemiology (155 citations). Freja Ebeling has collaborated with scholars based in Finland, Sweden and Germany. Frequent co-authors include Leila Sahlstedt, Leni von Bonsdorff, Jaakko Parkkinen, Tapani Ruutu, G. Myllylä, Hannu Jokela, Matti Nikkilä, Christian Ehnholm, Timo Koivula and Terho Lehtimäki. Their work appears in journals such as Vox Sanguinis, Blood, British Journal of Haematology, Haemophilia and Transfusion Medicine.

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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