Ulrika Andersson

3.5k citations
29 papers · 696 · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Ulrika Andersson

29 papers receiving 684 citations

Peers

Ulrika Andersson
Comparison fields: 5 of 69
  • Genetics 242
  • Cancer Research 145
  • Neurology 67
  • Molecular Biology 293
  • Oncology 101
Replace Kenichiro Matsuda with:
Kenichiro Matsuda Japan
Jeremy McGuire United States
Jizong Zhao China
Ferdous M. Barlaskar United States
Marta Viana‐Pereira Portugal
Eva–Maria Duerr United States
Khadijeh Bijangi‐Vishehsaraei United States
Ana Guerreiro Stücklin Switzerland
Alejandra Sanjuán-Pla Spain
Jacob Wesley United States
Ulrika Andersson relative to Kenichiro Matsuda Japan Kenichiro Matsuda's profile →
Citations per field
00.5×1.5×
Kenichiro Matsuda · 1×
Citations per year

Countries citing papers authored by Ulrika Andersson

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Andersson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004121
2 201096
3 201063
4 201250
5 201641
6 200438
7
Heterogeneity in the expression of markers for drug resistance in brain tumors.
200437
8 201529
9 201628
10 200924
11 201023
12 201515
13 201514
14 200713
15 201212
16 200212
17 201211
18 201910
19 201910
20 201610

About Ulrika Andersson

Ulrika Andersson is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 696 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Drug Transport and Resistance Mechanisms (4 papers), Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (3 papers), Ferroptosis and cancer prognosis (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Genetics (242 citations), Cancer Research (145 citations), Neurology (67 citations), Molecular Biology (293 citations) and Oncology (101 citations). Ulrika Andersson has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Roger Henriksson, Beatrice Melin, Beatrice Malmer, A. Tommy Bergenheim, Thomas Brännström, Carl Wibom, Dongsheng Guo, Göran Roos, Katarina Nordfjäll and Anna M. Dahlin. Their work appears in journals such as Journal of Neuro-Oncology, Acta Oncologica, Cancer Epidemiology Biomarkers & Prevention, PLoS ONE and Journal of Clinical Oncology.

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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