Håkon Hov

410 citations
20 papers · 306 · h-index 9

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Ubiquitin and proteasome pathways 2
    • Glycosylation and Glycoproteins Research 2

Håkon Hov

18 papers receiving 302 citations

Peers

Håkon Hov
Comparison fields: 5 of 58
  • Hematology 102
  • Hepatology 58
  • Otorhinolaryngology 22
  • Oncology 77
  • Complementary and alternative medicine 21
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Lu Wen China
Saïda Aarrass Netherlands
Siobhan Wade Ireland
Tsung‐Ming Chen Taiwan
Noëlla Blétard Belgium
Henning Schäfer Germany
Yang Mh Taiwan
Guanghai Dai China
Laurenz Vormittag Austria
Shenglan Gong China
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Citations per field
00.5×10.5×
Lu Wen · 1×
Citations per year

Countries citing papers authored by Håkon Hov

Since Specialization
Citations

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

Fields of papers citing papers by Håkon Hov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200476
2 200940
3 200835
4 202032
5 201325
6 202220
7 201617
8 201211
9 201811
10 20198
11 20237
12 20186
13 20155
14 20085
15 20243
16 20252
17 20062
18 20071
19 20260
20 20060

About Håkon Hov

Håkon Hov is a scholar working on Hematology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 20 papers that have together received 306 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Cardiovascular and exercise physiology (3 papers), Liver physiology and pathology (3 papers), Sports injuries and prevention (3 papers), Sports Performance and Training (3 papers), Ubiquitin and proteasome pathways (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (102 citations), Hepatology (58 citations), Otorhinolaryngology (22 citations), Oncology (77 citations) and Complementary and alternative medicine (21 citations). Håkon Hov has collaborated with scholars based in Norway, United States and Germany. Frequent co-authors include Magne Børset, Unn‐Merete Fagerli, Anders Waage, Anders Sundan, Randi Utne Holt, Torstein B. Rø, Vadim Baykov, Henrik Hjorth‐Hansen, James G. Christensen and Toril Holien. Their work appears in journals such as Blood, Scandinavian Journal of Medicine and Science in Sports, European Journal Of Haematology, Clinical Cancer Research and Experimental 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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