Katja Lundgren

667 citations
8 papers · 514 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Receptor Mechanisms and Signaling 2
    • Mitochondrial Function and Pathology 1
    • Cancer Cells and Metastasis 1

Katja Lundgren

8 papers receiving 508 citations

Peers

Katja Lundgren
Comparison fields: 5 of 59
  • Cancer Research 197
  • Oncology 227
  • Molecular Biology 242
  • Cell Biology 42
  • Pulmonary and Respiratory Medicine 62
Replace Sylwia Gawrzak with:
Sylwia Gawrzak Spain
Fabiana Lüönd Switzerland
Jonathan Rennhack United States
Deepika Neelakantan United States
Helen Sadik United States
Philip E.D. Chung Canada
Ahmed A. Quraishi United States
Margarite D. Matossian United States
F. Monville France
Breege V. Howley United States
Katja Lundgren relative to Sylwia Gawrzak Spain Sylwia Gawrzak's profile →
Citations per field
00.5×1.5×1.9×
Sylwia Gawrzak · 1×
Citations per year

Countries citing papers authored by Katja Lundgren

Since Specialization
Citations

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

Fields of papers citing papers by Katja Lundgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Katja Lundgren, 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 Katja Lundgren Line = papers co-authored together Katja Lundgren links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2009147
2 2007120
3 201183
4 201273
5 200856
6 201123
7 20129
8 20093

About Katja Lundgren

Katja Lundgren is a scholar working on Molecular Biology, Oncology, Psychiatry and Mental health, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 514 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Computational Drug Discovery Methods (1 paper), Cancer Cells and Metastasis (1 paper), High Altitude and Hypoxia (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cancer Research (197 citations), Oncology (227 citations), Molecular Biology (242 citations), Cell Biology (42 citations) and Pulmonary and Respiratory Medicine (62 citations). Katja Lundgren has collaborated with scholars based in Sweden, United Kingdom and Ireland. Frequent co-authors include Göran Landberg, Bo Nordenskjöld, Caroline Holm, Nicholas P. Tobin, Sophie Lehn, Andrew H. Sims, Åke Borg, Karolina Holm, Sílvia Pineda and Anthony Howell. Their work appears in journals such as Breast Cancer Research, BMC Cancer, Human Pathology, Cellular and Molecular Life Sciences and Journal of Molecular Diagnostics.

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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