Ulrike Schümann

3.5k total citations
49 papers, 1.2k citations indexed

About

Ulrike Schümann is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Ulrike Schümann has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Ulrike Schümann's work include MicroRNA in disease regulation (7 papers), Advanced Combustion Engine Technologies (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). Ulrike Schümann is often cited by papers focused on MicroRNA in disease regulation (7 papers), Advanced Combustion Engine Technologies (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). Ulrike Schümann collaborates with scholars based in Australia, Germany and United Kingdom. Ulrike Schümann's co-authors include Ming‐Bo Wang, Ian R. Booth, Michelle D. Edwards, Neil A. Smith, Samantha Miller, Kemal Kazan, Thomas Preiß, Susan Black, Tennille Sibbritt and Elizabeth S. Dennis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Nature Reviews Microbiology.

In The Last Decade

Ulrike Schümann

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Schümann Australia 19 736 433 161 128 128 49 1.2k
Lu Ma China 24 793 1.1× 640 1.5× 62 0.4× 52 0.4× 85 0.7× 69 1.4k
Seong Wook Yang South Korea 29 1.5k 2.1× 1.3k 2.9× 132 0.8× 100 0.8× 74 0.6× 64 2.2k
Michael J. Naldrett United States 18 654 0.9× 531 1.2× 113 0.7× 41 0.3× 48 0.4× 49 1.2k
Xiangxiang Zhang China 17 511 0.7× 389 0.9× 171 1.1× 24 0.2× 103 0.8× 56 1.0k
Stefaan Derveaux Belgium 10 780 1.1× 121 0.3× 124 0.8× 44 0.3× 63 0.5× 15 1.1k
Kazuhiro Shibata Japan 14 1.1k 1.5× 523 1.2× 70 0.4× 24 0.2× 26 0.2× 30 1.4k
Yanan Xu China 17 852 1.2× 185 0.4× 109 0.7× 29 0.2× 313 2.4× 55 1.4k
Jingyi Ren China 18 643 0.9× 109 0.3× 62 0.4× 117 0.9× 51 0.4× 55 1.0k
Bingbing Li China 21 722 1.0× 407 0.9× 36 0.2× 56 0.4× 57 0.4× 60 1.2k

Countries citing papers authored by Ulrike Schümann

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Schümann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Schümann

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Schümann. A scholar is included among the top collaborators of Ulrike Schümann 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 Ulrike Schümann. Ulrike Schümann 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.
Schümann, Ulrike, Riemke Aggio‐Bruce, Michele C. Madigan, et al.. (2025). Spatial transcriptomics reveals regionally altered gene expression that drives retinal degeneration. Communications Biology. 8(1). 629–629. 2 indexed citations
2.
Schümann, Ulrike, et al.. (2025). Emerging electrochemical nanoscale architectures for point-of-care detection of miRNA biomarkers. Chemical Engineering Journal. 508. 160903–160903. 7 indexed citations
3.
Aggio‐Bruce, Riemke, Ulrike Schümann, Fred K. Chen, et al.. (2023). Serum miRNA modulations indicate changes in retinal morphology. Frontiers in Molecular Neuroscience. 16. 1130249–1130249. 1 indexed citations
4.
Soler, Marta, Verónica Dávalos, Carlos A. García‐Prieto, et al.. (2023). Epigenetic inactivation of the 5-methylcytosine RNA methyltransferase NSUN7 is associated with clinical outcome and therapeutic vulnerability in liver cancer. Molecular Cancer. 22(1). 83–83. 38 indexed citations
5.
Sibbritt, Tennille, Ulrike Schümann, Andrew M. Shafik, et al.. (2021). Target-Specific Profiling of RNA m5C Methylation Level Using Amplicon Sequencing. Methods in molecular biology. 2404. 375–392. 1 indexed citations
6.
Chu‐Tan, Joshua A., Yvette Wooff, Ulrike Schümann, et al.. (2021). Functional microRNA targetome undergoes degeneration-induced shift in the retina. Molecular Neurodegeneration. 16(1). 60–60. 14 indexed citations
7.
8.
Schümann, Ulrike, Hena Zhang, Tennille Sibbritt, et al.. (2020). Multiple links between 5-methylcytosine content of mRNA and translation. BMC Biology. 18(1). 40–40. 104 indexed citations
9.
Fernando, Nilisha, Riemke Aggio‐Bruce, Yvette Wooff, et al.. (2020). MicroRNA-223 Regulates Retinal Function and Inflammation in the Healthy and Degenerating Retina. Frontiers in Cell and Developmental Biology. 8. 516–516. 20 indexed citations
10.
Zhao, Jian‐Hua, Neil A. Smith, Ulrike Schümann, et al.. (2015). Nicotiana Small RNA Sequences Support a Host Genome Origin of Cucumber Mosaic Virus Satellite RNA. PLoS Genetics. 11(1). e1004906–e1004906. 20 indexed citations
11.
Schümann, Ulrike, et al.. (2015). Analysis of Internal Common Rail Injector Deposits via Thermodesorption Photon Ionization Time of Flight Mass Spectrometry. Energy & Fuels. 29(9). 5625–5632. 3 indexed citations
12.
Schümann, Ulrike, Neil A. Smith, Sameer K. Tiwari, et al.. (2014). DNA demethylases target promoter transposable elements to positively regulate stress responsive genes in Arabidopsis. Genome biology. 15(9). 458–458. 203 indexed citations
13.
Ayliffe, Michael, Sambasivam Periyannan, Angela Feechan, et al.. (2014). Simple Quantification of In Planta Fungal Biomass. Methods in molecular biology. 1127. 159–172. 5 indexed citations
14.
Ayliffe, Michael, Sambasivam Periyannan, Angela Feechan, et al.. (2013). A Simple Method for Comparing Fungal Biomass in Infected Plant Tissues. Molecular Plant-Microbe Interactions. 26(6). 658–667. 53 indexed citations
15.
Schümann, Ulrike, Neil A. Smith, Kemal Kazan, Michael Ayliffe, & Ming‐Bo Wang. (2013). Analysis of hairpin RNA transgene-induced gene silencing in Fusarium oxysporum. PubMed. 4(1). 3–3. 15 indexed citations
16.
Schümann, Ulrike, et al.. (2013). Characterisation of Internal Deposits in Common-Rail Injectors. MTZ worldwide. 74(10). 50–57. 7 indexed citations
17.
Schümann, Ulrike, Neil A. Smith, & Ming‐Bo Wang. (2013). A fast and efficient method for preparation of high-quality RNA from fungal mycelia. BMC Research Notes. 6(1). 71–71. 45 indexed citations
18.
Schümann, Ulrike, et al.. (2012). WECHSELWIRKUNGEN VON BIOKRAFTSTOFFEN MIT DEM MOTORSCHMIERÖL. 5(1). 60–67. 3 indexed citations
19.
Neubert, Lorenz, Eckhard Paetzold, Matthias Beller, et al.. (2010). Acetals as Novel Fuel Additives from Glycerol and Olefins. Chemie Ingenieur Technik. 83(3). 322–330. 3 indexed citations
20.
Booth, Ian R., Michelle D. Edwards, Susan Black, Ulrike Schümann, & Samantha Miller. (2007). Mechanosensitive channels in bacteria: signs of closure?. Nature Reviews Microbiology. 5(6). 431–440. 117 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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