Sören Müller

8.7k total citations · 6 hit papers
41 papers, 3.6k citations indexed

About

Sören Müller is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sören Müller has authored 41 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Immunology. Recurrent topics in Sören Müller's work include Cancer Immunotherapy and Biomarkers (9 papers), Single-cell and spatial transcriptomics (8 papers) and MicroRNA in disease regulation (6 papers). Sören Müller is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Single-cell and spatial transcriptomics (8 papers) and MicroRNA in disease regulation (6 papers). Sören Müller collaborates with scholars based in United States, Germany and Spain. Sören Müller's co-authors include Shannon J. Turley, Fabian Afonso-Grunz, Aarón Díaz, Zora Modrušan, Richard Bourgon, Rachana Pradhan, Peter Winter, Manish K. Aghi, Gary Kohanbash and Arnold R. Kriegstein and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sören Müller

39 papers receiving 3.6k citations

Hit Papers

Cross-tissue organization of the fibroblast lineage 2017 2026 2020 2023 2021 2019 2017 2022 2021 100 200 300 400 500
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.

  1. Cross-tissue organization of the fibroblast lineage
    2021 555 citations Zora Modrušan, Richard Bourgon et al. profile →
  2. Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy
    2019 522 citations Claudia X. Dominguez, Sören Müller et al. Cancer Discovery profile →
  3. Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment
    2017 434 citations Sören Müller, Gary Kohanbash et al. profile →
  4. Mesothelial cell-derived antigen-presenting cancer-associated fibroblasts induce expansion of regulatory T cells in pancreatic cancer
    2022 329 citations Sören Müller, Shannon J. Turley et al. profile →
  5. Interpretation of T cell states from single-cell transcriptomics data using reference atlases
    2021 241 citations Sören Müller, Rafael Cubas et al. Nature Communications profile →
  6. Systemic vaccination induces CD8+ T cells and remodels the tumor microenvironment
    2022 142 citations Faezzah Baharom, Ramiro A. Ramirez-Valdez et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sören Müller United States 25 1.9k 1.4k 1.3k 940 461 41 3.6k
Jörg W. Bartsch Germany 36 2.1k 1.1× 1.1k 0.8× 576 0.4× 711 0.8× 364 0.8× 111 4.1k
Florian Klemm Germany 24 1.6k 0.9× 1.3k 0.9× 1.5k 1.1× 696 0.7× 754 1.6× 31 3.7k
Dylan Daniel United States 15 1.2k 0.6× 1.6k 1.2× 3.0k 2.3× 495 0.5× 495 1.1× 23 4.5k
Bernhard Gentner Italy 29 2.7k 1.4× 1.1k 0.8× 927 0.7× 1.2k 1.2× 278 0.6× 80 4.1k
Paul R. Walker Switzerland 34 1.4k 0.8× 1.2k 0.9× 2.3k 1.7× 352 0.4× 457 1.0× 76 3.6k
Magnus Essand Sweden 34 1.6k 0.9× 1.9k 1.4× 1.4k 1.0× 250 0.3× 251 0.5× 124 4.1k
Yoko Oei United States 12 1.4k 0.7× 1.1k 0.8× 1.9k 1.4× 338 0.4× 541 1.2× 17 3.6k
Frank Rosenbauer Germany 31 2.8k 1.5× 788 0.6× 2.1k 1.6× 649 0.7× 363 0.8× 54 5.0k
Benson M. George United States 17 1.3k 0.7× 1.4k 1.0× 2.2k 1.6× 305 0.3× 146 0.3× 25 3.9k
Iacovos P. Michael Canada 28 2.6k 1.4× 1.1k 0.8× 578 0.4× 501 0.5× 1.0k 2.2× 43 4.6k

Countries citing papers authored by Sören Müller

Since Specialization
Citations

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

Fields of papers citing papers by Sören Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sören Müller

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

All Works

20 of 20 papers shown
1.
Mitrovic, M., Francesco Greco, Martin P. Schwalm, et al.. (2026). Click. Screen. Degrade. A Miniaturized D2B Workflow for Rapid PROTAC Discovery. Journal of Medicinal Chemistry. 69(3). 2599–2624.
2.
Lu, Tianshi, Habib Hamidi, Mark A. Socinski, et al.. (2025). Non-small cell lung cancer molecular subtypes and vulnerability to immunotherapy treatment combinations. Nature Communications. 17(1). 122–122.
3.
Nutsch, Katherine, Karl L. Banta, Thomas D. Wu, et al.. (2024). TIGIT and PD-L1 co-blockade promotes clonal expansion of multipotent, non-exhausted antitumor T cells by facilitating co-stimulation. Nature Cancer. 5(12). 1834–1851. 16 indexed citations
4.
Najibi, Alexander J., Ryan S. Lane, Miguel C. Sobral, et al.. (2024). Durable lymph-node expansion is associated with the efficacy of therapeutic vaccination. Nature Biomedical Engineering. 8(10). 1226–1242. 18 indexed citations
5.
Sobral, Miguel C., Ryan S. Lane, Einat B. Vitner, et al.. (2024). IL-2/anti-IL-2 antibody complexes augment immune responses to therapeutic cancer vaccines. Proceedings of the National Academy of Sciences. 121(48). e2322356121–e2322356121. 1 indexed citations
6.
Lim, J. K., Katherine Williams, Paul Tyler, et al.. (2024). The Exonuclease TREX1 Constitutes an Innate Immune Checkpoint Limiting cGAS/STING-Mediated Antitumor Immunity. Cancer Immunology Research. 12(6). 663–672. 22 indexed citations
7.
8.
Baharom, Faezzah, Ramiro A. Ramirez-Valdez, Ahad Khalilnezhad, et al.. (2022). Systemic vaccination induces CD8+ T cells and remodels the tumor microenvironment. Cell. 185(23). 4317–4332.e15. 142 indexed citations breakdown →
9.
He, Daniel, David Wu, Sören Müller, et al.. (2021). miRNA-independent function of long noncoding pri-miRNA loci. Proceedings of the National Academy of Sciences. 118(13). 25 indexed citations
10.
Lin, Karin, Gregor Bieri, Géraldine Gontier, et al.. (2021). MHC class I H2-Kb negatively regulates neural progenitor cell proliferation by inhibiting FGFR signaling. PLoS Biology. 19(6). e3001311–e3001311. 17 indexed citations
11.
Chandra, Ankush, Arman Jahangiri, William Chen, et al.. (2020). Clonal ZEB1-Driven Mesenchymal Transition Promotes Targetable Oncologic Antiangiogenic Therapy Resistance. Cancer Research. 80(7). 1498–1511. 43 indexed citations
12.
Xiong, Huizhong, Stephanie Mittman, Марина Москаленко, et al.. (2019). Coexpression of Inhibitory Receptors Enriches for Activated and Functional CD8+ T Cells in Murine Syngeneic Tumor Models. Cancer Immunology Research. 7(6). 963–976. 31 indexed citations
13.
Wang, Lin, Husam Babikir, Sören Müller, et al.. (2019). The Phenotypes of Proliferating Glioblastoma Cells Reside on a Single Axis of Variation. Cancer Discovery. 9(12). 1708–1719. 194 indexed citations
14.
Dominguez, Claudia X., Sören Müller, Shilpa Keerthivasan, et al.. (2019). Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy. Cancer Discovery. 10(2). 232–253. 522 indexed citations breakdown →
15.
Müller, Sören, Sameer Agnihotri, Srilakshmi Chaparala, et al.. (2018). Peptide vaccine immunotherapy biomarkers and response patterns in pediatric gliomas. JCI Insight. 3(7). 24 indexed citations
16.
Bartlett, Thomas E., Sören Müller, & Aarón Díaz. (2017). Single-cell Co-expression Subnetwork Analysis. Scientific Reports. 7(1). 15066–15066. 13 indexed citations
17.
Müller, Sören & Aarón Díaz. (2017). Single-Cell mRNA Sequencing in Cancer Research: Integrating the Genomic Fingerprint. Frontiers in Genetics. 8. 73–73. 23 indexed citations
18.
Bokszczanin, Kamila, Nicolas Krezdorn, Sotirios Fragkostefanakis, et al.. (2015). Identification of novel small ncRNAs in pollen of tomato. BMC Genomics. 16(1). 714–714. 24 indexed citations
19.
Müller, Sören. (2014). In silico analysis of regulatory networks underlines the role of miR-10b-5p and its target BDNF in huntington’s disease. Translational Neurodegeneration. 3(1). 17–17. 31 indexed citations
20.
Zawada, Adam M., Kyrill S. Rogacev, Sören Müller, et al.. (2013). Massive analysis of cDNA Ends (MACE) and miRNA expression profiling identifies proatherogenic pathways in chronic kidney disease. Epigenetics. 9(1). 161–172. 88 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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