Sven-Åge Killmann

1.1k citations
40 papers · 884 · h-index 16

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Blood disorders and treatments

Papers in

    • Acute Myeloid Leukemia Research 9
    • Blood groups and transfusion 6
    • Blood disorders and treatments 8
    • Hemoglobinopathies and Related Disorders 3

Sven-Åge Killmann

36 papers receiving 720 citations

Peers

Sven-Åge Killmann
Comparison fields: 5 of 96
  • Hematology 300
  • Genetics 114
  • Immunology 185
  • Emergency Medicine 56
  • Genetics 162
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Citations per field
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Citations per year

Countries citing papers authored by Sven-Åge Killmann

Since Specialization
Citations

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

Fields of papers citing papers by Sven-Åge Killmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven-Åge Killmann. 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 Sven-Åge Killmann. The network helps show where Sven-Åge Killmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964119
2 1962102
3 197874
4 196459
5 195657
6 195550
7 197045
8 195745
9 196343
10 197240
11 196128
12 198627
13 195727
14 195923
15 196718
16
TRITIUM LABELED THYMIDINE (H$sup 3$TDR) ITS SOMATIC TOXICITY AND USE IN THE STUDY OF GROWTH RATES AND POTENTIALS IN NORMAL AND MALIGNANT TISSUE OF MAN AND ANIMALS
196116
17 197415
18 197612
19 195911
20 195711

About Sven-Åge Killmann

Sven-Åge Killmann is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Genetics, having authored 40 papers that have together received 884 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Blood disorders and treatments (8 papers), Blood groups and transfusion (6 papers), Hematological disorders and diagnostics (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Hematology (300 citations), Genetics (114 citations), Immunology (185 citations), Emergency Medicine (56 citations) and Genetics (162 citations). Sven-Åge Killmann has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include V.P. Bond, Theodor M. Fliedner, E. P. Cronkite, Jørn Hess Thaysen, Niels Ebbe Hansen, E.P. Cronkite, Mogens Krogh Jensen, Aage Drivsholm, Preben Philip and George Brecher. Their work appears in journals such as Blood, Acta Haematologica, British Journal of Haematology, The American Journal of Medicine and Annals of Hematology.

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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