Åsa Hellberg

1.1k citations
46 papers · 734 · h-index 16

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Blood groups and transfusion 43
    • Erythrocyte Function and Pathophysiology 35

Åsa Hellberg

43 papers receiving 724 citations

Peers

Åsa Hellberg
Comparison fields: 5 of 52
  • Hematology 593
  • Physiology 487
  • Genetics 175
  • Virology 29
  • Genetics 140
Replace Kim Hue‐Roye with:
Kim Hue‐Roye United States
T. Seno Japan
M. E. Reid United States
Suthat Fucharoen Thailand
James A. Jack United States
Bradley C. Pietz United States
Lisbeth Messeter Sweden
Joe N. Frost United Kingdom
Xuedong Wu China
Nicolas Costea United States
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Citations per field
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Kim Hue‐Roye · 1×
Citations per year

Countries citing papers authored by Åsa Hellberg

Since Specialization
Citations

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

Fields of papers citing papers by Åsa Hellberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001146
2 200950
3 200345
4 200743
5 200439
6 200239
7 201333
8 200325
9 201025
10 201825
11 200520
12 200520
13 200719
14 201919
15 200419
16 200515
17 201515
18 201315
19 200513
20 201713

About Åsa Hellberg

Åsa Hellberg is a scholar working on Hematology, Physiology, Pediatrics, Perinatology and Child Health, Genetics and Genetics, having authored 46 papers that have together received 734 indexed citations. Recurring topics across this work include Blood groups and transfusion (43 papers), Erythrocyte Function and Pathophysiology (35 papers), Hemoglobinopathies and Related Disorders (9 papers), Blood disorders and treatments (8 papers), Neonatal Health and Biochemistry (7 papers), Parvovirus B19 Infection Studies (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Hematology (593 citations), Physiology (487 citations), Genetics (175 citations), Virology (29 citations) and Genetics (140 citations). Åsa Hellberg has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Martin L. Olsson, Bahram Hosseini‐Maaf, Michael Chester, Nidal M. Irshaid, Julia S. Westman, Marilyn Moulds, Joyce Poole, Britt Thuresson, Annika K. Hult and C. Levene. Their work appears in journals such as Transfusion, Vox Sanguinis, Blood, Journal of Biological Chemistry and BMC Genetics.

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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