Anna‐Lotta Hallbeck

1.1k total citations
18 papers, 539 citations indexed

About

Anna‐Lotta Hallbeck is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Anna‐Lotta Hallbeck has authored 18 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Anna‐Lotta Hallbeck's work include HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glioma Diagnosis and Treatment (3 papers). Anna‐Lotta Hallbeck is often cited by papers focused on HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glioma Diagnosis and Treatment (3 papers). Anna‐Lotta Hallbeck collaborates with scholars based in Sweden, Poland and China. Anna‐Lotta Hallbeck's co-authors include Martin Hallbeck, Thomas Walz, Olle Stål, Elin Karlsson, Josefine Bostner, Åsa Amandusson, Anders Blomqvist, Ola Hermanson, Gizeh Pérez‐Tenorio and Åke Wasteson and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Pain.

In The Last Decade

Anna‐Lotta Hallbeck

18 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna‐Lotta Hallbeck Sweden 11 290 154 103 83 80 18 539
Claudia A. Benavente United States 15 376 1.3× 209 1.4× 43 0.4× 97 1.2× 50 0.6× 24 709
Kaiming Xu United States 14 309 1.1× 124 0.8× 55 0.5× 97 1.2× 32 0.4× 22 589
Kathryn Graham United Kingdom 15 537 1.9× 110 0.7× 116 1.1× 250 3.0× 70 0.9× 37 846
So-Young Hwang United States 7 370 1.3× 275 1.8× 50 0.5× 87 1.0× 76 0.9× 7 836
Shailaja Akunuru United States 14 528 1.8× 197 1.3× 82 0.8× 125 1.5× 45 0.6× 14 900
Hung‐Pei Tsai Taiwan 14 287 1.0× 121 0.8× 91 0.9× 142 1.7× 47 0.6× 68 732
Yohann Demont France 11 270 0.9× 98 0.6× 109 1.1× 41 0.5× 43 0.5× 16 592
Ivana Huvar United States 7 353 1.2× 114 0.7× 100 1.0× 53 0.6× 53 0.7× 8 611
Helen Travers United Kingdom 11 448 1.5× 104 0.7× 65 0.6× 43 0.5× 75 0.9× 16 905
Julie Dwyer France 13 415 1.4× 167 1.1× 133 1.3× 142 1.7× 80 1.0× 14 700

Countries citing papers authored by Anna‐Lotta Hallbeck

Since Specialization
Citations

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

Fields of papers citing papers by Anna‐Lotta Hallbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna‐Lotta Hallbeck. 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 Anna‐Lotta Hallbeck. The network helps show where Anna‐Lotta Hallbeck may publish in the future.

Co-authorship network of co-authors of Anna‐Lotta Hallbeck

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

All Works

18 of 18 papers shown
1.
Stenmark‐Askmalm, Marie, Fredrik Persson, Anna‐Lotta Hallbeck, et al.. (2025). Characterisation of heritable TP53-related cancer syndrome in Sweden—a nationwide study of genotype-phenotype correlations in 90 families. European Journal of Human Genetics. 33(4). 513–522. 1 indexed citations
2.
3.
Sundquist, M., et al.. (2019). ERBB2 and PTPN2 gene copy numbers as prognostic factors in HER2‑positive metastatic breast cancer treated with trastuzumab. Oncology Letters. 17(3). 3371–3381. 10 indexed citations
4.
Łysiak, M, Annika Malmström, Örjan Jonsson, et al.. (2017). P03.15 Detection of 1p19q co-deletion in oligodendrogliomas with droplet digital PCR. Neuro-Oncology. 19(suppl_3). iii36–iii36. 1 indexed citations
5.
Mosrati, Mohamed Ali, Annika Malmström, M Łysiak, et al.. (2015). TERT promoter mutations and polymorphisms as prognostic factors in primary glioblastoma. Oncotarget. 6(18). 16663–16673. 103 indexed citations
6.
Malmström, Annika, Martin Hallbeck, Peter Milos, et al.. (2015). MTR-09ABCB1 AS PREDICTIVE MARKER FOR POOR SURVIVAL IN PATIENTS WITH GLIOBLASTOMA TREATED WITH RADIOTHERAPY AND CONCOMITANT AND ADJUVANT TEMOZOLOMIDE. Neuro-Oncology. 17(suppl 5). v126.1–v126. 1 indexed citations
7.
Karlsson, Elin, Josefine Bostner, Christine Dyrager, et al.. (2015). Revealing Different Roles of the mTOR-Targets S6K1 and S6K2 in Breast Cancer by Expression Profiling and Structural Analysis. PLoS ONE. 10(12). e0145013–e0145013. 26 indexed citations
8.
Jangamreddy, Jaganmohan R., Mayur Vilas Jain, Anna‐Lotta Hallbeck, et al.. (2015). Glucose starvation-mediated inhibition of salinomycin induced autophagy amplifies cancer cell specific cell death. Oncotarget. 6(12). 10134–10145. 26 indexed citations
9.
10.
Gréen, Henrik, et al.. (2011). The pan-ErbB receptor tyrosine kinase inhibitor canertinib promotes apoptosis of malignant melanoma in vitro and displays anti-tumor activity in vivo. Biochemical and Biophysical Research Communications. 414(3). 563–568. 18 indexed citations
11.
Karlsson, Elin, Marie Ahnström Waltersson, Josefine Bostner, et al.. (2011). High‐resolution genomic analysis of the 11q13 amplicon in breast cancers identifies synergy with 8p12 amplification, involving the mTOR targets S6K2 and 4EBP1. Genes Chromosomes and Cancer. 50(10). 775–787. 65 indexed citations
12.
Holmlund, Birgitta, Anna Gréen, Henrik Gréen, et al.. (2011). The pan-ErbB tyrosine kinase inhibitor canertinib induces caspase-mediated cell death in human T-cell leukemia (Jurkat) cells. Biochemical and Biophysical Research Communications. 410(3). 422–427. 9 indexed citations
13.
Hallbeck, Anna‐Lotta, et al.. (2010). The pan-ErbB receptor tyrosine kinase inhibitor canertinib induces ErbB-independent apoptosis in human leukemia (HL-60 and U-937) cells. Biochemical and Biophysical Research Communications. 393(1). 6–10. 10 indexed citations
14.
Abdiu, Avni, et al.. (2009). ErbB receptor tyrosine kinases contribute to proliferation of malignant melanoma cells: inhibition by gefitinib (ZD1839). Melanoma Research. 19(3). 156–166. 37 indexed citations
15.
Hallbeck, Anna‐Lotta. (2007). Studies of Transforming Growth Factor Alpha in Normal and Abnormal Growth. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
16.
Hallbeck, Anna‐Lotta, et al.. (2005). TGF‐α and ErbB2 production in synovial joint tissue: increased expression in arthritic joints. Scandinavian Journal of Rheumatology. 34(3). 204–211. 40 indexed citations
17.
Hallbeck, Anna‐Lotta, Thomas Walz, & Åke Wasteson. (2001). Interleukin-6 Enhances Transforming Growth Factor-alpha mRNA Expression in Macrophage-Like Human Monocytoid (U-937-1) Cells. Bioscience Reports. 21(3). 325–339. 13 indexed citations
18.
Amandusson, Åsa, Martin Hallbeck, Anna‐Lotta Hallbeck, Ola Hermanson, & Anders Blomqvist. (1999). Estrogen-induced alterations of spinal cord enkephalin gene expression. Pain. 83(2). 243–248. 94 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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