Johan Staaf

27.2k total citations
146 papers, 5.1k citations indexed

About

Johan Staaf is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Johan Staaf has authored 146 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cancer Research, 66 papers in Molecular Biology and 50 papers in Oncology. Recurrent topics in Johan Staaf's work include Cancer Genomics and Diagnostics (53 papers), Genomic variations and chromosomal abnormalities (29 papers) and Lung Cancer Treatments and Mutations (17 papers). Johan Staaf is often cited by papers focused on Cancer Genomics and Diagnostics (53 papers), Genomic variations and chromosomal abnormalities (29 papers) and Lung Cancer Treatments and Mutations (17 papers). Johan Staaf collaborates with scholars based in Sweden, United States and Norway. Johan Staaf's co-authors include Åke Borg, Markus Ringnér, Johan Vallon‐Christersson, Göran Jönsson, Mattias Höglund, Jari Häkkinen, Erik Fredlund, Håkan Olsson, Göran Jönsson and Maria Planck and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Johan Staaf

143 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Staaf Sweden	40	2.8k	1.7k	1.5k	1.1k	885	146	5.1k
Gudrun Schleiermacher France	39	3.5k 1.3×	2.6k 1.5×	1.5k 1.0×	791 0.7×	1.1k 1.3×	130	6.9k
Michael Datto United States	34	4.1k 1.5×	1.4k 0.8×	2.2k 1.5×	802 0.7×	844 1.0×	69	6.4k
Amir A. Jazaeri United States	34	2.6k 0.9×	1.8k 1.0×	2.3k 1.5×	858 0.8×	504 0.6×	169	5.7k
Paul Haluska United States	38	2.5k 0.9×	1.1k 0.7×	2.0k 1.4×	667 0.6×	618 0.7×	114	4.9k
Joshua F. McMichael United States	11	3.3k 1.2×	2.0k 1.2×	1.5k 1.0×	616 0.6×	789 0.9×	16	5.8k
Cyriac Kandoth United States	14	3.4k 1.2×	2.3k 1.3×	1.4k 0.9×	636 0.6×	784 0.9×	27	5.3k
Mingchao Xie United States	12	2.9k 1.1×	2.0k 1.2×	1.5k 1.0×	542 0.5×	722 0.8×	15	5.3k
Constance T. Albarracin United States	43	1.8k 0.6×	2.1k 1.2×	1.7k 1.2×	894 0.8×	851 1.0×	122	5.2k
Daniel Rosen United States	37	2.6k 1.0×	1.0k 0.6×	1.5k 1.0×	612 0.6×	421 0.5×	87	4.9k
Qianxing Mo United States	39	3.2k 1.2×	1.0k 0.6×	1.8k 1.2×	545 0.5×	933 1.1×	138	6.2k

Countries citing papers authored by Johan Staaf

Since Specialization

Citations

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

Fields of papers citing papers by Johan Staaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Staaf

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Staaf. A scholar is included among the top collaborators of Johan Staaf 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 Staaf. Johan Staaf 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

Ehmsen, Sidse, Sofie Traynor, N I Nissen, et al.. (2025). RET inhibition overcomes resistance to combined CDK4/6 inhibitor and endocrine therapy in ER+ breast cancer. Frontiers in Oncology. 14. 1497093–1497093. 1 indexed citations

Staaf, Johan, Hans Brunnström, Mats Jönsson, et al.. (2025). Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma. Molecular Oncology. 19(12). 3806–3820.

Jönsson, Mats, Bengt Phung, Göran Jönsson, et al.. (2024). Tumour immune characterisation of primary triple-negative breast cancer using automated image quantification of immunohistochemistry-stained immune cells. Scientific Reports. 14(1). 21417–21417. 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

Kováč, Michal, Louise Cornmark, Linda Magnusson, et al.. (2023). Disruption of the TP53 locus in osteosarcoma leads to TP53 promoter gene fusions and restoration of parts of the TP53 signalling pathway. The Journal of Pathology. 262(2). 147–160. 10 indexed citations

Marchi, Tommaso De, Anna Ehinger, Johan Hartman, et al.. (2023). Comparison of SP142 and 22C3 PD-L1 assays in a population-based cohort of triple-negative breast cancer patients in the context of their clinically established scoring algorithms. Breast Cancer Research. 25(1). 123–123. 14 indexed citations

Brunnström, Hans, et al.. (2022). Feasibility of EBUS-TBNA for histopathological and molecular diagnostics of NSCLC—A retrospective single-center experience. PLoS ONE. 17(2). e0263342–e0263342. 4 indexed citations

Bai, Yalai, Kimberly Cole, Sandra Martínez-Morilla, et al.. (2021). An Open-Source, Automated Tumor-Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer. Clinical Cancer Research. 27(20). 5557–5565. 38 indexed citations

Micke, Patrick, Johanna Sofia Margareta Mattsson, Linnéa La Fleur, et al.. (2020). Comprehensive analysis of RNA binding motif protein 3 (RBM3) in non‐small cell lung cancer. Cancer Medicine. 9(15). 5609–5619. 9 indexed citations

10.

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

11.

Isaksson, Sofi, Anthony M. George, Mats Jönsson, et al.. (2019). Pre-operative plasma cell-free circulating tumor DNA and serum protein tumor markers as predictors of lung adenocarcinoma recurrence. Acta Oncologica. 58(8). 1079–1086. 19 indexed citations

12.

Karlsson, Anna, Helena Cirenajwis, Hans Brunnström, et al.. (2019). A combined gene expression tool for parallel histological prediction and gene fusion detection in non-small cell lung cancer. Scientific Reports. 9(1). 5207–5207. 15 indexed citations

13.

Karlsson, Jenny, Anders Valind, Linda Holmquist Mengelbier, et al.. (2018). Four evolutionary trajectories underlie genetic intratumoral variation in childhood cancer. Nature Genetics. 50(7). 944–950. 46 indexed citations

14.

Ringnér, Markus, Göran Jönsson, & Johan Staaf. (2015). Prognostic and Chemotherapy Predictive Value of Gene-Expression Phenotypes in Primary Lung Adenocarcinoma. Clinical Cancer Research. 22(1). 218–229. 16 indexed citations

15.

Karlsson, Anna, Markus Ringnér, Martin Lauss, et al.. (2014). Genomic and Transcriptional Alterations in Lung Adenocarcinoma in Relation to Smoking History. Clinical Cancer Research. 20(18). 4912–4924. 23 indexed citations

16.

Karlsson, Anna, Mats Jönsson, Martin Lauss, et al.. (2014). Genome-wide DNA Methylation Analysis of Lung Carcinoma Reveals One Neuroendocrine and Four Adenocarcinoma Epitypes Associated with Patient Outcome. Clinical Cancer Research. 20(23). 6127–6140. 82 indexed citations

17.

Planck, Maria, Sofi Isaksson, Srinivas Veerla, & Johan Staaf. (2013). Identification of Transcriptional Subgroups in EGFR -Mutated and EGFR / KRAS Wild-Type Lung Adenocarcinoma Reveals Gene Signatures Associated with Patient Outcome. Clinical Cancer Research. 19(18). 5116–5126. 20 indexed citations

18.

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

19.

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

20.

Nord, Karolin H., Johan Staaf, Judith V.M.G. Bovée, et al.. (2009). Genomic Profiling of Chondrosarcoma: Chromosomal Patterns in Central and Peripheral Tumors. Clinical Cancer Research. 15(8). 2685–2694. 52 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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