Markus Ringnér

33.8k total citations · 6 hit papers
96 papers, 12.2k citations indexed

About

Markus Ringnér is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Markus Ringnér has authored 96 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 29 papers in Cancer Research and 24 papers in Genetics. Recurrent topics in Markus Ringnér's work include Gene expression and cancer classification (26 papers), Cancer Genomics and Diagnostics (21 papers) and Genomics and Chromatin Dynamics (13 papers). Markus Ringnér is often cited by papers focused on Gene expression and cancer classification (26 papers), Cancer Genomics and Diagnostics (21 papers) and Genomics and Chromatin Dynamics (13 papers). Markus Ringnér collaborates with scholars based in Sweden, United States and Iceland. Markus Ringnér's co-authors include Åke Borg, Lao H. Saal, Carsten Peterson, Paul S. Meltzer, Johan Staaf, Javed Khan, Mårten Fernö, Erik Fredlund, Frank Westermann and Frank Berthold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Markus Ringnér

96 papers receiving 11.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

2001 1.9k citations Markus Ringnér, Lao H. Saal et al. profile →
What is principal component analysis?

2008 1.7k citations Markus Ringnér profile →
Exosomes reflect the hypoxic status of glioma cells and mediate hypoxia-dependent activation of vascular cells during tumor development

2013 781 citations Markus Ringnér et al. profile →
A Molecular Taxonomy for Urothelial Carcinoma

2012 637 citations Gottfrid Sjödahl, Martin Lauss et al. Clinical Cancer Research profile →
Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing

2018 561 citations Michael Bartoschek, Nikolay Oskolkov et al. Nature Communications profile →
Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns.

2001 540 citations Markus Ringnér, Lao H. Saal et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Markus Ringnér	7.5k	3.1k	3.0k	1.5k	1.3k	96	12.2k
Frank Berthold	7.9k 1.1×	4.3k 1.4×	2.9k 1.0×	1.2k 0.8×	1.0k 0.8×	320	16.4k
Shridar Ganesan	7.8k 1.0×	3.1k 1.0×	3.5k 1.2×	1.6k 1.1×	1.4k 1.1×	204	12.7k
Mao Mao	8.6k 1.1×	3.6k 1.2×	2.8k 0.9×	1.5k 1.0×	1.1k 0.8×	108	13.5k
Hongyue Dai	9.3k 1.2×	4.4k 1.4×	3.4k 1.1×	1.5k 1.0×	1.1k 0.8×	66	14.2k
Ethan Dmitrovsky	11.7k 1.6×	2.6k 0.8×	3.0k 1.0×	2.0k 1.4×	1.6k 1.2×	197	15.2k
Ken Chen	6.0k 0.8×	2.9k 0.9×	2.5k 0.8×	1.9k 1.3×	867 0.7×	306	11.1k
Yang Xie	8.6k 1.1×	3.1k 1.0×	2.8k 0.9×	693 0.5×	2.3k 1.8×	338	14.3k
Debashis Ghosh	6.3k 0.8×	1.9k 0.6×	1.8k 0.6×	1.1k 0.7×	1.7k 1.3×	244	11.2k
Igor Jurišica	10.1k 1.4×	4.5k 1.5×	2.3k 0.8×	731 0.5×	1.6k 1.3×	286	15.9k
Jane Fridlyand	6.7k 0.9×	2.0k 0.7×	3.5k 1.2×	1.4k 1.0×	803 0.6×	68	10.6k

Countries citing papers authored by Markus Ringnér

Since Specialization

Citations

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

Fields of papers citing papers by Markus Ringnér

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Ringnér

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Filograna, Roberta, Giovanni Rigoni, Michela Barbaro, et al.. (2024). PARKIN is not required to sustain OXPHOS function in adult mammalian tissues. npj Parkinson s Disease. 10(1). 93–93. 10 indexed citations

Pasławski, Wojciech, Linda Gillberg, Erik Södersten, et al.. (2022). PRC2-mediated repression is essential to maintain identity and function of differentiated dopaminergic and serotonergic neurons. Science Advances. 8(34). eabo1543–eabo1543. 11 indexed citations

Filograna, Roberta, Seungmin Lee, Katarína Tiklová, et al.. (2021). Mitochondrial dysfunction in adult midbrain dopamine neurons triggers an early immune response. PLoS Genetics. 17(9). e1009822–e1009822. 11 indexed citations

Bartoschek, Michael, Nikolay Oskolkov, Matteo Bocci, et al.. (2018). Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing. Nature Communications. 9(1). 5150–5150. 561 indexed citations breakdown →

Ringnér, Markus & Johan Staaf. (2017). P1.02-062 Consensus of Gene Expression Phenotypes and Prognostic Risk Predictors in Primary Lung Adenocarcinoma. Journal of Thoracic Oncology. 12(1). S525–S526. 1 indexed citations

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

Lauss, Martin, Rizwan Haq, Helena Cirenajwis, et al.. (2015). Genome-Wide DNA Methylation Analysis in Melanoma Reveals the Importance of CpG Methylation in MITF Regulation. Journal of Investigative Dermatology. 135(7). 1820–1828. 42 indexed citations

Hilmarsdóttir, Bylgja, Eiríkur Briem, Valgarður Sigurðsson, et al.. (2015). MicroRNA-200c-141 and ∆Np63 are required for breast epithelial differentiation and branching morphogenesis. Developmental Biology. 403(2). 150–161. 20 indexed citations

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

10.

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

11.

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

12.

Sjödahl, Gottfrid, Martin Lauss, Kristina Lövgren, et al.. (2012). A Molecular Taxonomy for Urothelial Carcinoma. Clinical Cancer Research. 18(12). 3377–3386. 637 indexed citations breakdown →

13.

Holm, Karolina, Dorthe Grabau, Kristina Lövgren, et al.. (2012). Global H3K27 trimethylation and EZH2 abundance in breast tumor subtypes. Molecular Oncology. 6(5). 494–506. 123 indexed citations

14.

Staaf, Johan, Göran Jönsson, Markus Ringnér, Bo Baldetorp, & Åke Borg. (2011). Landscape of somatic allelic imbalances and copy number alterations in HER2-amplified breast cancer. Breast Cancer Research. 13(6). R129–R129. 23 indexed citations

15.

Jönsson, Göran, Christian Busch, Stian Knappskog, et al.. (2010). Gene Expression Profiling–Based Identification of Molecular Subtypes in Stage IV Melanomas with Different Clinical Outcome. Clinical Cancer Research. 16(13). 3356–3367. 189 indexed citations

16.

Lauss, Martin, Markus Ringnér, & Mattias Höglund. (2010). Prediction of Stage, Grade, and Survival in Bladder Cancer Using Genome-wide Expression Data: A Validation Study. Clinical Cancer Research. 16(17). 4421–4433. 28 indexed citations

17.

Staaf, Johan, Göran Jönsson, Markus Ringnér, et al.. (2010). High-resolution genomic and expression analyses of copy number alterations in HER2-amplified breast cancer. Breast Cancer Research. 12(3). R25–R25. 102 indexed citations

18.

Gruvberger-Saal, Sofia K., Patrik Edén, Markus Ringnér, et al.. (2004). Predicting continuous values of prognostic markers in breast cancer from microarray gene expression profiles. Molecular Cancer Therapeutics. 3(2). 161–168. 25 indexed citations

19.

Pavey, Sandra, Peter A. Johansson, Leisl Packer, et al.. (2004). Microarray expression profiling in melanoma reveals a BRAF mutation signature. Oncogene. 23(23). 4060–4067. 136 indexed citations

20.

Hautaniemi, Sampsa, Markus Ringnér, Päivikki Kauraniemi, et al.. (2002). A Strategy for Identifying Putative Causes of Gene Expression Variation in Human Cancer. Lund University Publications (Lund University). 1 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.

Explore authors with similar magnitude of impact