Patrick Müller

5.0k total citations
95 papers, 3.4k citations indexed

About

Patrick Müller is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Patrick Müller has authored 95 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 16 papers in Oncology and 12 papers in Genetics. Recurrent topics in Patrick Müller's work include Developmental Biology and Gene Regulation (14 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (11 papers) and Trauma and Emergency Care Studies (9 papers). Patrick Müller is often cited by papers focused on Developmental Biology and Gene Regulation (14 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (11 papers) and Trauma and Emergency Care Studies (9 papers). Patrick Müller collaborates with scholars based in United States, Germany and Sweden. Patrick Müller's co-authors include Katherine W. Rogers, Alexander F. Schier, Martin A. Schreiber, Martin P. Zeidler, Michael Boutros, Viola Gesellchen, David Kuttenkeuler, Daniel Čapek, Sharad Ramanathan and Darren Malinoski and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Patrick Müller

93 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Müller United States 33 1.8k 503 386 369 360 95 3.4k
Bernard H. Brownstein United States 27 2.2k 1.2× 182 0.4× 242 0.6× 668 1.8× 376 1.0× 62 5.0k
Jun Fujita Japan 43 3.4k 1.9× 345 0.7× 483 1.3× 551 1.5× 788 2.2× 127 6.4k
Torsten Goldmann Germany 43 2.5k 1.4× 209 0.4× 75 0.2× 336 0.9× 679 1.9× 184 6.3k
Panayiotis V. Benos United States 34 3.4k 1.9× 179 0.4× 101 0.3× 375 1.0× 469 1.3× 123 5.3k
Yasuyuki Kurihara Japan 36 1.2k 0.7× 115 0.2× 70 0.2× 305 0.8× 230 0.6× 162 4.0k
Karen J. Taylor United Kingdom 34 1.3k 0.7× 124 0.2× 33 0.1× 532 1.4× 542 1.5× 105 3.9k
Andrew W. Bollen United States 51 3.1k 1.7× 254 0.5× 37 0.1× 629 1.7× 885 2.5× 141 8.8k
Iain D. C. Fraser United States 43 4.2k 2.3× 640 1.3× 51 0.1× 495 1.3× 443 1.2× 149 7.5k
Attila Tárnok Germany 37 1.9k 1.0× 336 0.7× 30 0.1× 202 0.5× 439 1.2× 187 4.3k
Jiro Sato Japan 29 1.1k 0.6× 153 0.3× 56 0.1× 246 0.7× 491 1.4× 171 4.8k

Countries citing papers authored by Patrick Müller

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Müller. A scholar is included among the top collaborators of Patrick 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 Patrick Müller. Patrick 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.
Coles, M.P., Narges Aghaallaei, Philip Bucher, et al.. (2025). A Complementarity‐Based Approach to De Novo Binder Design. Advanced Science. 12(33). e02015–e02015.
2.
Schauer, Alexandra, Bob Zimmermann, Katherine W. Rogers, et al.. (2024). Analysis of SMAD1/5 target genes in a sea anemone reveals ZSWIM4-6 as a novel BMP signaling modulator. eLife. 13. 3 indexed citations
3.
Müller, Patrick, et al.. (2024). Modes and motifs in multicellular communication. Cell Systems. 15(1). 1–3. 1 indexed citations
4.
Kühn, Timo, et al.. (2022). Single-molecule tracking of Nodal and Lefty in live zebrafish embryos supports hindered diffusion model. Nature Communications. 13(1). 6101–6101. 25 indexed citations
5.
Morales‐Navarrete, Hernán & Patrick Müller. (2022). Gastrulation: Nodal signaling controls ordered collective cell migration. Current Biology. 32(24). R1354–R1356.
6.
Skokowa, Julia, Birte Hernandez Alvarez, M.P. Coles, et al.. (2022). A topological refactoring design strategy yields highly stable granulopoietic proteins. Nature Communications. 13(1). 2948–2948. 9 indexed citations
7.
Čapek, Daniel, et al.. (2021). Wie Tiere sich selbst konstruieren. BIOspektrum. 27(5). 473–477. 1 indexed citations
8.
Almuedo‐Castillo, María, et al.. (2018). Scale-invariant patterning by size-dependent inhibition of Nodal signalling. Nature Cell Biology. 20(9). 1032–1042. 50 indexed citations
9.
Donovan, Prudence, Katherine W. Rogers, Katja Muehlethaler, et al.. (2017). Paracrine Activin-A Signaling Promotes Melanoma Growth and Metastasis through Immune Evasion. Journal of Investigative Dermatology. 137(12). 2578–2587. 27 indexed citations
10.
Müller, Patrick, et al.. (2017). Whole genome microarray expression analysis in blood identifies pathways linked to signs and symptoms of a patient with hypercalprotectinaemia and hyperzincaemia. Clinical & Experimental Immunology. 191(2). 240–251. 1 indexed citations
11.
Müller, Patrick, et al.. (2013). "The first wit of the age" : essays on Swift and his contemporaries in honour of Hermann J. Real. P. Lang eBooks. 1 indexed citations
12.
Müller, Patrick, et al.. (2012). Differential Diffusivity of Nodal and Lefty Underlies a Reaction-Diffusion Patterning System. Science. 336(6082). 721–724. 283 indexed citations
13.
Lindahl, Emma, Lina Nordquist, Patrick Müller, et al.. (2011). Early transcriptional regulation by C‐peptide in freshly isolated rat proximal tubular cells. Diabetes/Metabolism Research and Reviews. 27(7). 697–704. 2 indexed citations
14.
Müller, Patrick, Mulugeta Nega, Jeanette Wagener, et al.. (2010). Staphylococcal Peptidoglycan Co-Localizes with Nod2 and TLR2 and Activates Innate Immune Response via Both Receptors in Primary Murine Keratinocytes. PLoS ONE. 5(10). e13153–e13153. 83 indexed citations
15.
Pommier, SuEllen J., Patrick Müller, Amy E. Hanlon Newell, et al.. (2009). Characterizing the HER2/neu Status and Metastatic Potential of Breast Cancer Stem/Progenitor Cells. Annals of Surgical Oncology. 17(2). 613–623. 17 indexed citations
16.
Müller, Patrick, et al.. (2009). SOX9 mediates the retinoic acid-induced HES-1 gene expression in human breast cancer cells. Breast Cancer Research and Treatment. 120(2). 317–326. 35 indexed citations
17.
Müller, Patrick, et al.. (2008). Estrogen-dependent downregulation of hairy and enhancer of split homolog-1 gene expression in breast cancer cells is mediated via a 3′ distal element. Journal of Endocrinology. 200(3). 311–319. 6 indexed citations
18.
Hartman, Johan, Patrick Müller, James S. Foster, et al.. (2004). HES-1 inhibits 17β-estradiol and heregulin-β1-mediated upregulation of E2F-1. Oncogene. 23(54). 8826–8833. 52 indexed citations
19.
Müller, Patrick, Silke Kietz, Jan-Ακε Gustafsson, & Anders Ström. (2002). The Anti-estrogenic Effect of All-trans-retinoic Acid on the Breast Cancer Cell Line MCF-7 Is Dependent on HES-1 Expression. Journal of Biological Chemistry. 277(32). 28376–28379. 45 indexed citations
20.
Müller, Patrick. (1992). "Pesar" la tierra. PubMed. 102(1). 319–332. 3 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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