Kristine Misund

1.6k citations
50 papers · 1.0k · h-index 21

Impact in

Papers in

    • Protein Degradation and Inhibitors 10
    • Ubiquitin and proteasome pathways 8
    • Glycosylation and Glycoproteins Research 4
    • Protein Tyrosine Phosphatases 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Multiple Myeloma Research and Treatments 25

Kristine Misund

47 papers receiving 994 citations

Peers

Kristine Misund
Comparison fields: 5 of 85
  • Hematology 268
  • Cancer Research 133
  • Molecular Biology 624
  • Oncology 190
  • Immunology 108
Replace Nina Fenouille with:
Nina Fenouille France
Shannon C. Dixon United States
Maria Concetta Faniello Italy
Federica Brugnoli Italy
Brian P. Ashburner United States
Li-Yuan Bai Taiwan
Lubing Gu United States
Quin Van United States
Wei Du United States
Randall Evans United States
Kristine Misund relative to Nina Fenouille France Nina Fenouille's profile →
Citations per field
00.5×1.5×1.8×
Nina Fenouille · 1×
Citations per year

Countries citing papers authored by Kristine Misund

Since Specialization
Citations

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

Fields of papers citing papers by Kristine Misund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kristine Misund, 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 Kristine Misund Line = papers co-authored together Kristine Misund 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 201589
2 201382
3 201865
4 201755
5 201649
6 201842
7 201542
8 201741
9 201440
10 202237
11 201335
12 201633
13 201532
14 201331
15 201628
16 201325
17 201524
18 202023
19 201321
20 201521

About Kristine Misund

Kristine Misund is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Cancer Research, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (25 papers), Protein Degradation and Inhibitors (10 papers), Ubiquitin and proteasome pathways (8 papers), Cytokine Signaling Pathways and Interactions (5 papers), Glycosylation and Glycoproteins Research (4 papers), Protein Tyrosine Phosphatases (4 papers), Cancer Mechanisms and Therapy (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Hematology (268 citations), Cancer Research (133 citations), Molecular Biology (624 citations), Oncology (190 citations) and Immunology (108 citations). Kristine Misund has collaborated with scholars based in Norway, United States and Netherlands. Frequent co-authors include Anders Sundan, Toril Holien, Anders Waage, Torstein B. Rø, Glenn Buene, Magne Børset, Geir Bjørkøy, Ida Johansson, Katarzyna Anna Baranowska and Hanne Hella. Their work appears in journals such as Oncotarget, Blood, PLoS ONE, Blood Cancer Journal and Cancer Research.

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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