Håkon Reikvam

4.1k citations
180 papers · 3.0k indexed · 1 hit paper · h-index 32
  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research 72
    • Hematopoietic Stem Cell Transplantation 27
    • Chronic Myeloid Leukemia Treatments 15
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 12
    • Hemoglobinopathies and Related Disorders 12
  • Immunology top 5%
    • Histone Deacetylase Inhibitors Research 21
    • Retinoids in leukemia and cellular processes 15
    • Blood transfusion and management 11

Håkon Reikvam

158 papers receiving 2.9k citations

Hit Papers

The PI3K-Akt-mTOR Signaling Pathway in Human Acute Myeloi...228202020262022202450100150200

Peers

Håkon Reikvam
Comparison fields: 5 of 130
  • Hematology 1.5k
  • Genetics 406
  • Internal Medicine 96
  • Immunology 523
  • Cancer Research 339
Replace Usha R. Pendurthi with:
Usha R. Pendurthi United States
Anne Angelillo‐Scherrer Switzerland
William P. Sheffield Canada
Shosuke Okamoto Japan
Shigeru Shirakawa Japan
Tong Yin China
Jun Peng China
Constantino Martı́nez Spain
Stefano Manarini Italy
Sherry L. Spinelli United States
Håkon Reikvam relative to Usha R. Pendurthi United States Usha R. Pendurthi's profile →
Citations per field
00.5×1.5×2.5×
Usha R. Pendurthi · 1×
Citations per year

Countries citing papers authored by Håkon Reikvam

Since Specialization
Citations

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

Fields of papers citing papers by Håkon Reikvam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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18 201310
19 201246
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About Håkon Reikvam

Håkon Reikvam is a scholar working on Hematology, Genetics and Biochemistry, having authored 180 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (72 papers), Hematopoietic Stem Cell Transplantation (27 papers), Histone Deacetylase Inhibitors Research (21 papers), Retinoids in leukemia and cellular processes (15 papers), Chronic Myeloid Leukemia Treatments (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Hemoglobinopathies and Related Disorders (12 papers) and Blood transfusion and management (11 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (406 citations) and Internal Medicine (96 citations). Håkon Reikvam has collaborated with scholars based in Norway, United States and Spain. Frequent co-authors include Øystein Bruserud, Kimberley Joanne Hatfield, Ina Nepstad, Ida Sofie Grønningsæter, Annette K. Brenner, Knut Anders Mosevoll, Tor Henrik Anderson Tvedt, Bjørn Tore Gjertsen, Tor Hervig and Astrid Olsnes Kittang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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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