Rebecka Hellsten

831 citations
23 papers · 649 · h-index 14

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cytokine Signaling Pathways and Interactions 11
    • Wnt/β-catenin signaling in development and cancer 2

Rebecka Hellsten

22 papers receiving 646 citations

Peers

Rebecka Hellsten
Comparison fields: 5 of 59
  • Oncology 324
  • Cancer Research 122
  • Pulmonary and Respiratory Medicine 195
  • Pathology and Forensic Medicine 92
  • Immunology 106
Replace Francesco Caiazza with:
Francesco Caiazza Ireland
Mike I. Walton United Kingdom
Maria Grazia Prisco Italy
Kenji Hirotani Japan
Shunchang Jiao China
Yiming Lai China
You-Take Oh United States
Cai Bowen United States
Junjie Piao China
Wenqing Qi United States
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Citations per field
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Citations per year

Countries citing papers authored by Rebecka Hellsten

Since Specialization
Citations

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

Fields of papers citing papers by Rebecka Hellsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201683
2 201475
3 201172
4 201764
5 200762
6 201959
7 201540
8 201628
9 201024
10 202124
11 202022
12 198319
13 200718
14 201514
15 202010
16 201410
17 20227
18 20196
19 20145
20 20223

About Rebecka Hellsten

Rebecka Hellsten is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Pharmacology, having authored 23 papers that have together received 649 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (11 papers), Prostate Cancer Treatment and Research (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), NF-κB Signaling Pathways (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Oncology (324 citations), Cancer Research (122 citations), Pulmonary and Respiratory Medicine (195 citations), Pathology and Forensic Medicine (92 citations) and Immunology (106 citations). Rebecka Hellsten has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Anders Bjartell, Martin Johansson, Olov Sterner, Agnieszka Krzyzanowska, Susan Evans‐Axelsson, Anna Dahlman, Giacomo Canesin, Tommy Andersson, Karin Leandersson and Nishtman Dizeyi. Their work appears in journals such as The Prostate, European Urology, PLoS ONE, Scientific Reports and Tetrahedron Letters.

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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