Johan Vallon‐Christersson

10.5k total citations · 1 hit paper
90 papers, 4.8k citations indexed

About

Johan Vallon‐Christersson is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Johan Vallon‐Christersson has authored 90 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 50 papers in Cancer Research and 27 papers in Oncology. Recurrent topics in Johan Vallon‐Christersson's work include Cancer Genomics and Diagnostics (27 papers), Breast Cancer Treatment Studies (18 papers) and Gene expression and cancer classification (17 papers). Johan Vallon‐Christersson is often cited by papers focused on Cancer Genomics and Diagnostics (27 papers), Breast Cancer Treatment Studies (18 papers) and Gene expression and cancer classification (17 papers). Johan Vallon‐Christersson collaborates with scholars based in Sweden, United States and Germany. Johan Vallon‐Christersson's co-authors include Åke Borg, Markus Ringnér, Johan Staaf, Lao H. Saal, Göran Jönsson, Cecilia Hegardt, Anders Kvist, Linda Holmquist Mengelbier, Sven Påhlman and Niklas Loman and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Johan Vallon‐Christersson

87 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recruitment of HIF-1α and HIF-2α to common target genes is differentially regulated in neuroblastoma: HIF-2α promotes an aggressive phenotype

2006 594 citations Linda Holmquist Mengelbier, Erik Fredlund et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Vallon‐Christersson Sweden	35	2.9k	2.0k	1.4k	953	524	90	4.8k
Vessela N. Kristensen Norway	37	3.2k 1.1×	2.3k 1.1×	1.4k 1.0×	806 0.8×	644 1.2×	132	5.1k
Joel Greshock United States	27	2.7k 1.0×	1.7k 0.8×	979 0.7×	657 0.7×	325 0.6×	63	4.0k
Paul Haluska United States	38	2.5k 0.9×	1.1k 0.6×	2.0k 1.4×	667 0.7×	618 1.2×	114	4.9k
Joshua F. McMichael United States	11	3.3k 1.2×	2.0k 1.0×	1.5k 1.0×	616 0.6×	789 1.5×	16	5.8k
Johan Staaf Sweden	40	2.8k 1.0×	1.7k 0.8×	1.5k 1.1×	1.1k 1.2×	885 1.7×	146	5.1k
Libero Santarpia Italy	37	3.3k 1.2×	2.2k 1.1×	1.8k 1.3×	425 0.4×	773 1.5×	89	5.4k
Crispin Miller United Kingdom	38	3.7k 1.3×	1.8k 0.9×	1.1k 0.8×	365 0.4×	589 1.1×	94	5.4k
Syed Haider United Kingdom	36	3.3k 1.2×	1.6k 0.8×	1.0k 0.7×	602 0.6×	597 1.1×	111	5.0k
E. Aubrey Thompson United States	42	3.3k 1.1×	1.2k 0.6×	1.6k 1.1×	404 0.4×	486 0.9×	112	5.0k
Chai Yin Kok United Kingdom	10	4.4k 1.5×	2.4k 1.2×	1.6k 1.1×	972 1.0×	939 1.8×	14	6.5k

Countries citing papers authored by Johan Vallon‐Christersson

Since Specialization

Citations

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

Fields of papers citing papers by Johan Vallon‐Christersson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Vallon‐Christersson. 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 Johan Vallon‐Christersson. The network helps show where Johan Vallon‐Christersson may publish in the future.

Co-authorship network of co-authors of Johan Vallon‐Christersson

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

All Works

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20 of 20 papers shown

Campos, Ana Bosch, Srinivas Veerla, Frida Rosengren, et al.. (2025). Genomic characterization of the HER2-enriched intrinsic molecular subtype in primary ER-positive HER2-negative breast cancer. Nature Communications. 16(1). 2208–2208. 3 indexed citations

Kimbung, Siker, Srinivas Veerla, Anna Ehinger, et al.. (2025). Global Transcriptional Complexity of Estrogen Receptor–Low Positive Breast Cancers in the Prospective Swedish Population–Based SCAN-B Cohort. Clinical Cancer Research. 31(13). 2695–2709. 1 indexed citations

Tekpli, Xavier, Ole Christian Lingjærde, Hege G. Russnes, et al.. (2025). High tumor expression of CTLA4 identifies lymph node-negative basal-like breast cancer patients with excellent prognosis. Communications Medicine. 5(1). 234–234.

Belting, Mattias, et al.. (2024). Caveolin-1 gene expression provides additional prognostic information combined with PAM50 risk of recurrence (ROR) score in breast cancer. Scientific Reports. 14(1). 6675–6675. 1 indexed citations

Albrecht, Juliane, et al.. (2023). Alternative promoters and splicing create multiple functionally distinct isoforms of oestrogen receptor alpha in breast cancer and healthy tissues. Cancer Medicine. 12(18). 18931–18945. 2 indexed citations

Häkkinen, Jari, et al.. (2023). Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification. BMC Genomics. 24(1). 783–783. 1 indexed citations

Demircan, Kamil, Thilo Samson Chillon, Johan Vallon‐Christersson, et al.. (2023). Matched analysis of circulating selenium with the breast cancer selenotranscriptome: a multicentre prospective study. Journal of Translational Medicine. 21(1). 1 indexed citations

Dahlgren, Malin, Anthony M. George, Christian Brueffer, et al.. (2021). Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer. JNCI Cancer Spectrum. 5(2). 16 indexed citations

Graßmann, Felix, Keith Humphreys, Jingmei Li, et al.. (2020). Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns. International Journal of Cancer. 148(4). 884–894. 3 indexed citations

10.

Brueffer, Christian, Christof Winter, Johan Vallon‐Christersson, et al.. (2020). The mutational landscape of the SCAN ‐B real‐world primary breast cancer transcriptome. EMBO Molecular Medicine. 12(10). e12118–e12118. 42 indexed citations

11.

Arbajian, Elsa, Mattias Aine, Anna Karlsson, et al.. (2020). Methylation Patterns and Chromatin Accessibility in Neuroendocrine Lung Cancer. Cancers. 12(8). 2003–2003. 4 indexed citations

12.

Bendahl, Pär‐Ola, Åke Borg, Anna Ehinger, et al.. (2019). Agreement between molecular subtyping and surrogate subtype classification: a contemporary population-based study of ER-positive/HER2-negative primary breast cancer. Breast Cancer Research and Treatment. 178(2). 459–467. 20 indexed citations

13.

Vallon‐Christersson, Johan, Jari Häkkinen, Cecilia Hegardt, et al.. (2019). Cross comparison and prognostic assessment of breast cancer multigene signatures in a large population-based contemporary clinical series. Scientific Reports. 9(1). 12184–12184. 36 indexed citations

14.

Harbst, Katja, Martin Lauss, Helena Cirenajwis, et al.. (2016). Multiregion Whole-Exome Sequencing Uncovers the Genetic Evolution and Mutational Heterogeneity of Early-Stage Metastatic Melanoma. Cancer Research. 76(16). 4765–4774. 77 indexed citations

15.

Søkilde, Rolf, Helena Persson, Dorthe Grabau, et al.. (2014). The HER2-Encoded miR-4728-3p Regulates ESR1 through a Non-Canonical Internal Seed Interaction. PLoS ONE. 9(5). e97200–e97200. 27 indexed citations

16.

Harbst, Katja, Johan Staaf, Martin Lauss, et al.. (2012). Molecular Profiling Reveals Low- and High-Grade Forms of Primary Melanoma. Clinical Cancer Research. 18(15). 4026–4036. 72 indexed citations

17.

Persson, Helena, Anders Kvist, Natalia Rego, et al.. (2011). Identification of New MicroRNAs in Paired Normal and Tumor Breast Tissue Suggests a Dual Role for the ERBB2/Her2 Gene. Cancer Research. 71(1). 78–86. 158 indexed citations

18.

Olofsson, Tor, et al.. (2007). The Wilms' Tumor Gene 1 (WT1) Induces Expression of the N-myc Downstream Regulated Gene 2 (NDRG2). DNA and Cell Biology. 26(8). 589–597. 15 indexed citations

19.

Jönsson, Göran, Johan Staaf, Eleonor Olsson, et al.. (2007). High‐resolution genomic profiles of breast cancer cell lines assessed by tiling BAC array comparative genomic hybridization. Genes Chromosomes and Cancer. 46(6). 543–558. 156 indexed citations

20.

Mengelbier, Linda Holmquist, Erik Fredlund, Tobias Löfstedt, et al.. (2006). Recruitment of HIF-1α and HIF-2α to common target genes is differentially regulated in neuroblastoma: HIF-2α promotes an aggressive phenotype. Cancer Cell. 10(5). 413–423. 594 indexed citations breakdown →

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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