Daniel Mathow

446 total citations
11 papers, 348 citations indexed

About

Daniel Mathow is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Daniel Mathow has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Immunology. Recurrent topics in Daniel Mathow's work include Glycosylation and Glycoproteins Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune cells in cancer (2 papers). Daniel Mathow is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune cells in cancer (2 papers). Daniel Mathow collaborates with scholars based in Germany, United Kingdom and Switzerland. Daniel Mathow's co-authors include Hermann-Josef Gröne, Richard Jennemann, Roger Sandhoff, Mariona Rabionet, Zoran V. Popović, Thomas Hielscher, Štefan Porubský, Norbert Gretz, Alexander Feuerborn and Giuseppina Federico and has published in prestigious journals such as Oncogene, Scientific Reports and Kidney International.

In The Last Decade

Daniel Mathow

11 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Mathow Germany	9	174	54	48	46	44	11	348
Zhenxin Yan United States	13	375 2.2×	35 0.6×	29 0.6×	47 1.0×	113 2.6×	20	521
Xiangxiao Li China	7	208 1.2×	53 1.0×	28 0.6×	104 2.3×	14 0.3×	15	417
Stefania Cotta Doné United States	6	190 1.1×	64 1.2×	51 1.1×	69 1.5×	12 0.3×	7	324
Rieko Yanobu‐Takanashi Japan	9	205 1.2×	12 0.2×	28 0.6×	41 0.9×	55 1.3×	12	437
Yiqian Zhang China	13	336 1.9×	32 0.6×	41 0.9×	145 3.2×	53 1.2×	30	508
Yuanyi Wei China	12	196 1.1×	12 0.2×	21 0.4×	68 1.5×	76 1.7×	29	349
Frances‐Rose Schumacher United Kingdom	7	484 2.8×	16 0.3×	50 1.0×	49 1.1×	84 1.9×	8	530
Emmy Chatzigianni Greece	9	177 1.0×	22 0.4×	33 0.7×	35 0.8×	50 1.1×	14	336
Kayoko Yamashita Japan	11	267 1.5×	24 0.4×	44 0.9×	59 1.3×	15 0.3×	19	437
Wenjuan Mei China	14	257 1.5×	55 1.0×	18 0.4×	103 2.2×	81 1.8×	35	466

Countries citing papers authored by Daniel Mathow

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mathow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mathow

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

All Works

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11 of 11 papers shown

Ökmen, Bilal, et al.. (2018). Mining the effector repertoire of the biotrophic fungal pathogen Ustilago hordei during host and non‐host infection. Molecular Plant Pathology. 19(12). 2603–2622. 29 indexed citations

Popović, Zoran V., Maria Embgenbroich, Viola Nordström, et al.. (2017). Hyperosmolarity impedes the cross-priming competence of dendritic cells in a TRIF-dependent manner. Scientific Reports. 7(1). 311–311. 12 indexed citations

Gruber, Andreas, Nitish Mittal, Souvik Ghosh, et al.. (2017). TFAP2A is a component of the ZEB1/2 network that regulates TGFB1-induced epithelial to mesenchymal transition. Biology Direct. 12(1). 8–8. 27 indexed citations

Jennemann, Richard, Giuseppina Federico, Daniel Mathow, et al.. (2017). Inhibition of hepatocellular carcinoma growth by blockade of glycosphingolipid synthesis. Oncotarget. 8(65). 109201–109216. 25 indexed citations

Federico, Giuseppina, Michael T. Meister, Daniel Mathow, et al.. (2016). Tubular Dickkopf-3 promotes the development of renal atrophy and fibrosis. JCI Insight. 1(1). e84916–e84916. 87 indexed citations

Hielscher, Thomas, et al.. (2015). Transcriptional profiling of dendritic cells matured in different osmolarities. Genomics Data. 7. 64–66. 2 indexed citations

Mathow, Daniel, Shijun Wang, Thomas Hielscher, et al.. (2015). The renal microenvironment modifies dendritic cell phenotype. Kidney International. 89(1). 82–94. 36 indexed citations

Mathow, Daniel, Mariona Rabionet, Sylvia Kaden, et al.. (2015). Zeb1 affects epithelial cell adhesion by diverting glycosphingolipid metabolism. EMBO Reports. 16(3). 321–331. 52 indexed citations

Marsching, Christian, Mariona Rabionet, Daniel Mathow, et al.. (2014). Renal sulfatides: sphingoid base-dependent localization and region-specific compensation of CerS2-dysfunction. Journal of Lipid Research. 55(11). 2354–2369. 23 indexed citations

10.

Feuerborn, Alexander, et al.. (2014). Basonuclin-1 modulates epithelial plasticity and TGF-β1-induced loss of epithelial cell integrity. Oncogene. 34(9). 1185–1195. 7 indexed citations

11.

Mathow, Daniel, Mariona Rabionet, Roger Sandhoff, et al.. (2013). Differentiation of epidermal keratinocytes is dependent on glucosylceramide:ceramide processing. Human Molecular Genetics. 22(20). 4164–4179. 48 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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