Katja Lundgren

664 total citations
8 papers, 511 citations indexed

About

Katja Lundgren is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Katja Lundgren has authored 8 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Genetics. Recurrent topics in Katja Lundgren's work include Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Receptor Mechanisms and Signaling (2 papers). Katja Lundgren is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Receptor Mechanisms and Signaling (2 papers). Katja Lundgren collaborates with scholars based in Sweden, United Kingdom and Ireland. Katja Lundgren's co-authors include Göran Landberg, Bo Nordenskjöld, Caroline Holm, Nicholas P. Tobin, Sophie Lehn, Andrew H. Sims, Karolina Holm, Åke Borg, Jack Cuzick and Lila Zabaglo and has published in prestigious journals such as British Journal of Cancer, Cellular and Molecular Life Sciences and Human Pathology.

In The Last Decade

Katja Lundgren

8 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katja Lundgren Sweden	7	278	277	240	88	53	8	511
Greg Foltz United States	11	502 1.8×	155 0.6×	208 0.9×	82 0.9×	62 1.2×	19	725
F. Monville France	4	344 1.2×	257 0.9×	172 0.7×	50 0.6×	56 1.1×	5	534
Sylwia Gawrzak Spain	8	232 0.8×	260 0.9×	136 0.6×	70 0.8×	27 0.5×	10	476
Parvinder Hothi United States	11	280 1.0×	147 0.5×	152 0.6×	83 0.9×	38 0.7×	14	508
Margarite D. Matossian United States	14	314 1.1×	258 0.9×	136 0.6×	50 0.6×	41 0.8×	39	588
Cristian P. Moiola Spain	18	421 1.5×	157 0.6×	285 1.2×	79 0.9×	85 1.6×	28	681
Verónica Calvo United States	9	265 1.0×	218 0.8×	167 0.7×	51 0.6×	44 0.8×	13	513
Hiroki Ueo Japan	13	348 1.3×	173 0.6×	206 0.9×	57 0.6×	30 0.6×	28	501
Erika Durinikova Slovakia	12	220 0.8×	206 0.7×	132 0.6×	47 0.5×	55 1.0×	17	477
Michael L. Beshiri United States	9	306 1.1×	212 0.8×	133 0.6×	133 1.5×	35 0.7×	12	522

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-authorship network of co-authors of Katja Lundgren

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Lundgren. A scholar is included among the top collaborators of Katja Lundgren 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 Katja Lundgren. Katja Lundgren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Lundgren, Katja, Matthew Brown, Sílvia Pineda, et al.. (2012). Effects of cyclin D1 gene amplification and protein expression on time to recurrence in postmenopausal breast cancer patients treated with anastrozole or tamoxifen: a TransATAC study. Breast Cancer Research. 14(2). R57–R57. 73 indexed citations

Tobin, Nicholas P., et al.. (2012). Automated image analysis of cyclin D1 protein expression in invasive lobular breast carcinoma provides independent prognostic information. Human Pathology. 43(11). 2053–2061. 9 indexed citations

Lundgren, Katja, Nicholas P. Tobin, Sophie Lehn, et al.. (2011). Stromal Expression of β-Arrestin-1 Predicts Clinical Outcome and Tamoxifen Response in Breast Cancer. Journal of Molecular Diagnostics. 13(3). 340–351. 23 indexed citations

Tobin, Nicholas P., Andrew H. Sims, Katja Lundgren, Sophie Lehn, & Göran Landberg. (2011). Cyclin D1, Id1 and EMT in breast cancer. BMC Cancer. 11(1). 417–417. 83 indexed citations

Lundgren, Katja, Bo Nordenskjöld, & Göran Landberg. (2009). Hypoxia, Snail and incomplete epithelial–mesenchymal transition in breast cancer. British Journal of Cancer. 101(10). 1769–1781. 147 indexed citations

Lundgren, Katja, Karin Jirström, & Göran Landberg. (2009). Differential expression of cytoplasmic and stromal β-arrestin-1 is associated with separate aspects of tumor behavior in breast cancer. Breast Cancer Research. 11(S1). 3 indexed citations

Lundgren, Katja, Karolina Holm, Bo Nordenskjöld, Åke Borg, & Göran Landberg. (2008). Gene products of chromosome 11q and their association with CCND1gene amplification and tamoxifen resistance in premenopausal breast cancer. Breast Cancer Research. 10(5). R81–R81. 55 indexed citations

Lundgren, Katja, Caroline Holm, & Göran Landberg. (2007). Common Molecular Mechanisms of Mammary Gland Development and Breast Cancer. Cellular and Molecular Life Sciences. 64(24). 3233–3247. 118 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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