Katarina Uttervall

525 citations
25 papers · 245 · h-index 9

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research
    • Cancer Treatment and Pharmacology

Papers in

    • Multiple Myeloma Research and Treatments 24
    • Chronic Myeloid Leukemia Treatments 3
    • Protein Degradation and Inhibitors 5
    • Ubiquitin and proteasome pathways 2

Katarina Uttervall

25 papers receiving 242 citations

Peers

Katarina Uttervall
Comparison fields: 5 of 28
  • Hematology 194
  • Oncology 95
  • Genetics 22
  • Molecular Biology 83
  • Radiology, Nuclear Medicine and Imaging 23
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Sonia Morè Italy
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Citations per field
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Citations per year

Countries citing papers authored by Katarina Uttervall

Since Specialization
Citations

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

Fields of papers citing papers by Katarina Uttervall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201443
2 201739
3 201923
4 202320
5 202219
6 201119
7 202111
8 202111
9 20249
10 20197
11 20247
12 20156
13 20225
14 20234
15 20134
16 20134
17 20223
18 20232
19 20122
20 20212

About Katarina Uttervall

Katarina Uttervall is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 245 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (24 papers), Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer Treatment and Pharmacology (3 papers), Ubiquitin and proteasome pathways (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (194 citations), Oncology (95 citations), Genetics (22 citations), Molecular Biology (83 citations) and Radiology, Nuclear Medicine and Imaging (23 citations). Katarina Uttervall has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Hareth Nahi, Evren Alici, Gösta Gahrton, Johan Lund, Johan Liwing, J Aschan, Erik Holmberg, Adil Doganay Duru, Markus Hansson and Kristina Carlson. Their work appears in journals such as Blood, European Journal Of Haematology, Journal of Clinical Oncology, HemaSphere and Cancer Medicine.

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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