Nikola S. Müller

1.1k total citations
16 papers, 539 citations indexed

About

Nikola S. Müller is a scholar working on Molecular Biology, Artificial Intelligence and Dermatology. According to data from OpenAlex, Nikola S. Müller has authored 16 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Dermatology. Recurrent topics in Nikola S. Müller's work include Stress Responses and Cortisol (2 papers), Gene Regulatory Network Analysis (2 papers) and Dermatology and Skin Diseases (2 papers). Nikola S. Müller is often cited by papers focused on Stress Responses and Cortisol (2 papers), Gene Regulatory Network Analysis (2 papers) and Dermatology and Skin Diseases (2 papers). Nikola S. Müller collaborates with scholars based in Germany, United States and Canada. Nikola S. Müller's co-authors include Fabian J. Theis, Janine Arloth, Steffen Sass, Roland Wedlich‐Söldner, Christoph Ogris, Elisabeth B. Binder, Christoph Ziegenhain, Dmitry Shaposhnikov, Lukas M. Simon and Kelsey E. Brooks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Nikola S. Müller

15 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nikola S. Müller Germany	11	311	91	63	57	54	16	539
Aparna Banerjee Dixit India	15	325 1.0×	44 0.5×	67 1.1×	9 0.2×	9 0.2×	52	627
Leon Raskin United States	21	500 1.6×	15 0.2×	281 4.5×	20 0.4×	46 0.9×	46	1.1k
Laura D. Gauthier United States	11	611 2.0×	32 0.4×	99 1.6×	12 0.2×	17 0.3×	17	1.1k
Alexi Kiss United States	12	296 1.0×	16 0.2×	21 0.3×	19 0.3×	39 0.7×	26	688
Bruno César Feltes Brazil	15	325 1.0×	45 0.5×	51 0.8×	4 0.1×	24 0.4×	46	558
Abhijeet R. Sonawane United States	14	635 2.0×	26 0.3×	100 1.6×	6 0.1×	26 0.5×	24	997
Julie McLeod United Kingdom	17	143 0.5×	12 0.1×	40 0.6×	16 0.3×	12 0.2×	42	656
Najeeb Syed Qatar	12	266 0.9×	24 0.3×	155 2.5×	12 0.2×	26 0.5×	29	785
Ellen E. Quillen United States	11	177 0.6×	14 0.2×	29 0.5×	6 0.1×	85 1.6×	29	577
Michelle M.M. Woo Canada	9	196 0.6×	59 0.6×	50 0.8×	8 0.1×	37 0.7×	11	669

Countries citing papers authored by Nikola S. Müller

Since Specialization

Citations

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

Fields of papers citing papers by Nikola S. Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikola S. Müller

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

All Works

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16 of 16 papers shown

1.

Budde, Monika, Ivan Kondofersky, Sabrina K. Schaupp, et al.. (2024). longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types. Bioinformatics. 40(4).

2.

Böhner, Alexander, Manja Jargosch, Nikola S. Müller, et al.. (2023). The neglected twin: Nummular eczema is a variant of atopic dermatitis with codominant TH2/TH17 immune response. Journal of Allergy and Clinical Immunology. 152(2). 408–419. 20 indexed citations

3.

Ogris, Christoph, et al.. (2021). Versatile knowledge guided network inference method for prioritizing key regulatory factors in multi-omics data. Scientific Reports. 11(1). 6806–6806. 15 indexed citations

4.

Moore, Sarah R., Thorhildur Halldorsdottir, Jade Martins, et al.. (2021). Sex differences in the genetic regulation of the blood transcriptome response to glucocorticoid receptor activation. Translational Psychiatry. 11(1). 632–632. 17 indexed citations

5.

Müller, Nikola S., et al.. (2020). Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm. International Journal of Data Science and Analytics. 10(3). 233–248. 11 indexed citations

6.

Provençal, Nadine, Janine Arloth, Annamaria Cattaneo, et al.. (2019). Glucocorticoid exposure during hippocampal neurogenesis primes future stress response by inducing changes in DNA methylation. Proceedings of the National Academy of Sciences. 117(38). 23280–23285. 135 indexed citations

7.

Lauffer, Felix, Manja Jargosch, Linda Krause, et al.. (2019). IL‐17C amplifies epithelial inflammation in human psoriasis and atopic eczema. Journal of the European Academy of Dermatology and Venereology. 34(4). 800–809. 35 indexed citations

8.

Guala, Dimitri, Christoph Ogris, Nikola S. Müller, & Erik L. L. Sonnhammer. (2019). Genome-wide functional association networks: background, data & state-of-the-art resources. Briefings in Bioinformatics. 21(4). 1224–1237. 24 indexed citations

9.

Müller, Emmanuel, et al.. (2018). MetaExp. 199–202. 4 indexed citations

10.

Shaposhnikov, Dmitry, Christoph Ziegenhain, Steffen Sass, et al.. (2017). GATA2/3-TFAP2A/C transcription factor network couples human pluripotent stem cell differentiation to trophectoderm with repression of pluripotency. Proceedings of the National Academy of Sciences. 114(45). E9579–E9588. 115 indexed citations

11.

Sass, Steffen, Patrick Roth, Ana‐Maria Florea, et al.. (2016). MicroRNA-138 promotes acquired alkylator resistance in glioblastoma by targeting the Bcl-2-interacting mediator BIM. Oncotarget. 7(11). 12937–12950. 51 indexed citations

12.

Johnson, Jared L., Nikola S. Müller, Garwin Pichler, et al.. (2013). Establishment of a robust single axis of cell polarity by coupling multiple positive feedback loops. Nature Communications. 4(1). 1807–1807. 80 indexed citations

13.

Nathan, Petra, Stefan Dehmel, Martin Irmler, et al.. (2012). Maternal genetic asthma predisposition affects signaling networks in lungs of neonatal offspring. 40. 1932. 1 indexed citations

14.

Spira, Felix, et al.. (2012). Visualization of Cortex Organization and Dynamics in Microorganisms, using Total Internal Reflection Fluorescence Microscopy. Journal of Visualized Experiments. e3982–e3982. 10 indexed citations

15.

Spira, Felix, et al.. (2012). Visualization of Cortex Organization and Dynamics in Microorganisms, using Total Internal Reflection Fluorescence Microscopy. Journal of Visualized Experiments. 5 indexed citations

16.

Böhm, Christian, et al.. (2009). CoCo. 149–158. 16 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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