Ulrika Axcrona

1.5k total citations · 2 hit papers
32 papers, 726 citations indexed

About

Ulrika Axcrona is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Surgery. According to data from OpenAlex, Ulrika Axcrona has authored 32 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 10 papers in Cancer Research and 9 papers in Surgery. Recurrent topics in Ulrika Axcrona's work include Prostate Cancer Treatment and Research (21 papers), Prostate Cancer Diagnosis and Treatment (17 papers) and Cancer, Lipids, and Metabolism (6 papers). Ulrika Axcrona is often cited by papers focused on Prostate Cancer Treatment and Research (21 papers), Prostate Cancer Diagnosis and Treatment (17 papers) and Cancer, Lipids, and Metabolism (6 papers). Ulrika Axcrona collaborates with scholars based in Norway, Sweden and Germany. Ulrika Axcrona's co-authors include Karol Axcrona, Rolf I. Skotheim, Ragnhild A. Lothe, Ljiljana Vlatkovic, Anne Cathrine Bakken, Ali Khatami, Andreas Socratous, Jonas Hugosson, Johan Stranne and Jonas Wallström and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ulrika Axcrona

32 papers receiving 723 citations

Hit Papers

Prostate Cancer Screening with PSA and MRI Followed by Ta... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ulrika Axcrona Norway 16 500 178 173 163 106 32 726
Stephan Tschirdewahn Germany 16 269 0.5× 159 0.9× 234 1.4× 197 1.2× 174 1.6× 57 677
Stephanie Glavaris United States 13 398 0.8× 214 1.2× 162 0.9× 217 1.3× 56 0.5× 20 592
Noriyuki Yamada Japan 16 454 0.9× 90 0.5× 99 0.6× 258 1.6× 81 0.8× 37 859
Roberta Mazzucchelli Italy 17 697 1.4× 118 0.7× 185 1.1× 107 0.7× 198 1.9× 50 874
Claudius Faber Germany 10 386 0.8× 137 0.8× 151 0.9× 61 0.4× 99 0.9× 12 651
Nobuyuki Kondo Japan 14 687 1.4× 264 1.5× 128 0.7× 483 3.0× 85 0.8× 82 1.1k
Yasuhiro Chikaishi Japan 14 291 0.6× 80 0.4× 145 0.8× 320 2.0× 84 0.8× 60 608
Marlo Nicolas United States 11 221 0.4× 125 0.7× 104 0.6× 204 1.3× 123 1.2× 39 533
Luiz H. Camara-Lopes Brazil 14 282 0.6× 307 1.7× 343 2.0× 171 1.0× 99 0.9× 40 763
Junyan Xu China 15 163 0.3× 161 0.9× 153 0.9× 272 1.7× 173 1.6× 35 679

Countries citing papers authored by Ulrika Axcrona

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Axcrona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrika Axcrona

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrika Axcrona. A scholar is included among the top collaborators of Ulrika Axcrona based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrika Axcrona. Ulrika Axcrona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Johannessen, Bjarne, Anne Cathrine Bakken, Ragnhild A. Lothe, et al.. (2024). GRIN3A: A biomarker associated with a cribriform pattern and poor prognosis in prostate cancer. Neoplasia. 55. 101023–101023. 1 indexed citations
2.
Skotheim, Rolf I., et al.. (2024). Prostate cancer: Molecular aspects, consequences, and opportunities of the multifocal nature. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(2). 189080–189080. 9 indexed citations
3.
Hugosson, Jonas, Rebecka Arnsrud Godtman, Jonas Wallström, et al.. (2024). Results after Four Years of Screening for Prostate Cancer with PSA and MRI. New England Journal of Medicine. 391(12). 1083–1095. 35 indexed citations breakdown →
5.
Skotheim, Rolf I., et al.. (2023). ‘High proliferative cribriform prostate cancer’ defines a patient subgroup with an inferior prognosis. Histopathology. 83(6). 853–869. 4 indexed citations
6.
Johannessen, Bjarne, Anne Cathrine Bakken, Andreas Hoff, et al.. (2022). Somatic mutations reveal complex metastatic seeding from multifocal primary prostate cancer. International Journal of Cancer. 152(5). 945–951. 4 indexed citations
7.
Johannessen, Bjarne, Xiaokang Zhang, Anita Sveen, et al.. (2022). Expressed prognostic biomarkers for primary prostate cancer independent of multifocality and transcriptome heterogeneity. Cancer Gene Therapy. 29(8-9). 1276–1284. 6 indexed citations
8.
Bakken, Anne Cathrine, Marthe Løvf, Ragnhild A. Lothe, et al.. (2022). In situ expression of ERG protein in the context of tumor heterogeneity identifies prostate cancer patients with inferior prognosis. Molecular Oncology. 16(15). 2810–2822. 5 indexed citations
9.
Hugosson, Jonas, Marianne Månsson, Jonas Wallström, et al.. (2022). Prostate Cancer Screening with PSA and MRI Followed by Targeted Biopsy Only. New England Journal of Medicine. 387(23). 2126–2137. 176 indexed citations breakdown →
10.
Bakken, Anne Cathrine, Marthe Løvf, Ragnhild A. Lothe, et al.. (2021). High expression of SCHLAP1 in primary prostate cancer is an independent predictor of biochemical recurrence, despite substantial heterogeneity. Neoplasia. 23(6). 634–641. 23 indexed citations
11.
Zanjani, Leili Saeednejad, Zahra Madjd, Ulrika Axcrona, et al.. (2020). Cytoplasmic expression of B7-H3 and membranous EpCAM expression are associated with higher grade and survival outcomes in patients with clear cell renal cell carcinoma. Annals of Diagnostic Pathology. 46. 151483–151483. 28 indexed citations
12.
Løvf, Marthe, Sen Zhao, Ulrika Axcrona, et al.. (2018). Multifocal Primary Prostate Cancer Exhibits High Degree of Genomic Heterogeneity. European Urology. 75(3). 498–505. 110 indexed citations
13.
Axcrona, Karol, Rune Kvåle, Bjørn Møller, et al.. (2017). Ten-year Mortality in Men With Nonmetastatic Prostate Cancer in Norway. Urology. 110. 140–147. 8 indexed citations
14.
Beisland, Christian, T.B. Johannesen, Olbjørn Klepp, et al.. (2017). Overall survival in renal cell carcinoma after introduction of targeted therapies: a Norwegian population-based study. OncoTargets and Therapy. Volume 10. 371–385. 27 indexed citations
15.
Bigalke, Iris, Karol Axcrona, Else Marit Inderberg, et al.. (2017). Results from a first in man Phase I/II adjuvant Dendritic Cell Vaccine study in high risk prostate cancer patients following radical surgery. Cytotherapy. 19(5). S15–S15. 1 indexed citations
16.
Johannessen, Bjarne, Ulrika Axcrona, Sigrid Marie Kraggerud, et al.. (2015). Exome Sequencing of Bilateral Testicular Germ Cell Tumors Suggests Independent Development Lineages. Neoplasia. 17(2). 167–174. 8 indexed citations
17.
18.
Wu, Xueping, Xiaoran Li, Gunnar Kvalheim, et al.. (2013). Blocking mtDNA Replication Upregulates the Expression of Stemness-related Genes in Prostate Cancer Cell Lines. Ultrastructural Pathology. 37(4). 258–266. 3 indexed citations
20.
Kohnert, К.-D., Ulrika Axcrona, B Hehmke, et al.. (1999). Islet neuronal abnormalities associated with impaired insulin secretion in type 2 diabetes in the Chinese hamster. Regulatory Peptides. 82(1-3). 71–79. 16 indexed citations

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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