Irmgard Riedmaier

1.1k total citations
30 papers, 882 citations indexed

About

Irmgard Riedmaier is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Irmgard Riedmaier has authored 30 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Irmgard Riedmaier's work include Molecular Biology Techniques and Applications (19 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Irmgard Riedmaier is often cited by papers focused on Molecular Biology Techniques and Applications (19 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Irmgard Riedmaier collaborates with scholars based in Germany, United Kingdom and Netherlands. Irmgard Riedmaier's co-authors include Michael W. Pfaffl, Christiane Becker, Benedikt Kirchner, Aleš Tichopád, Heinrich H.D. Meyer, Martina Reiter, Mikael Kubista, Anders Ståhlberg, Heinrich Meyer and Dominik Buschmann and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Irmgard Riedmaier

30 papers receiving 852 citations

Peers

Irmgard Riedmaier
Siyuan Zhan China
Hongzhao Lu China
Deshun Shi China
Qien Qi China
Wooyoung Jeong South Korea
Li Kang China
Martin Braunschweig Switzerland
Dawei Wei China
Siyuan Zhan China
Irmgard Riedmaier
Citations per year, relative to Irmgard Riedmaier Irmgard Riedmaier (= 1×) peers Siyuan Zhan

Countries citing papers authored by Irmgard Riedmaier

Since Specialization
Citations

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

Fields of papers citing papers by Irmgard Riedmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irmgard Riedmaier

This figure shows the co-authorship network connecting the top 25 collaborators of Irmgard Riedmaier. A scholar is included among the top collaborators of Irmgard Riedmaier 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 Irmgard Riedmaier. Irmgard Riedmaier 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.
Buschmann, Dominik, et al.. (2016). Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow. Nucleic Acids Research. 44(13). 5995–6018. 85 indexed citations
2.
Kirchner, Benedikt, et al.. (2015). Comparison of the miRNome and piRNome of bovine blood and plasma by small RNA sequencing. Biotechnology Letters. 37(6). 1165–1176. 16 indexed citations
3.
Kirchner, Benedikt, et al.. (2015). The potential of circulating extracellular small RNAs (smexRNA) in veterinary diagnostics—Identifying biomarker signatures by multivariate data analysis. SHILAP Revista de lepidopterología. 5. 15–22. 9 indexed citations
4.
Kirchner, Benedikt, Vijay Paul, Irmgard Riedmaier, & Michael W. Pfaffl. (2014). mRNA and microRNA Purity and Integrity: The Key to Success in Expression Profiling. Methods in molecular biology. 1160. 43–53. 14 indexed citations
5.
Riedmaier, Irmgard, et al.. (2014). Identification of a potential gene expression biomarker signature in bovine liver to detect the abuse of growth promoters. Food Additives & Contaminants Part A. 31(4). 641–649. 14 indexed citations
6.
Viturro, Enrique, et al.. (2014). Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals. Microchimica Acta. 181(13-14). 1725–1732. 5 indexed citations
7.
Riedmaier, Irmgard & Michael W. Pfaffl. (2012). Transcriptional biomarkers – High throughput screening, quantitative verification, and bioinformatical validation methods. Methods. 59(1). 3–9. 48 indexed citations
8.
Becker, Christiane, Irmgard Riedmaier, Martina Reiter, et al.. (2011). Influence of anabolic combinations of an androgen plus an estrogen on biochemical pathways in bovine uterine endometrium and ovary. The Journal of Steroid Biochemistry and Molecular Biology. 125(3-5). 192–201. 21 indexed citations
9.
Becker, Christiane, Irmgard Riedmaier, Martina Reiter, et al.. (2011). Changes in the miRNA profile under the influence of anabolic steroids in bovine liver. The Analyst. 136(6). 1204–1204. 18 indexed citations
10.
Riedmaier, Irmgard, Michael W. Pfaffl, & Heinrich Meyer. (2011). The analysis of the transcriptome as a new approach for biomarker development to trace the abuse of anabolic steroid hormones. Drug Testing and Analysis. 3(10). 676–681. 9 indexed citations
11.
Pfaffl, Michael W. & Irmgard Riedmaier. (2011). Die Real-Time-RT-PCR-Datenanalyse im Fokus der MIQE-Richtlinie. BIOspektrum. 17(3). 295–297. 1 indexed citations
12.
Becker, Christiane, Irmgard Riedmaier, Martina Reiter, et al.. (2010). Effect of trenbolone acetate plus estradiol on transcriptional regulation of metabolism pathways in bovine liver. Hormone Molecular Biology and Clinical Investigation. 2(2). 257–265. 11 indexed citations
13.
Riedmaier, Irmgard, Martina Reiter, Aleš Tichopád, Michael W. Pfaffl, & Helmut E. Meyer. (2010). The Potential of Bovine Vaginal Smear for Biomarker Development to Trace the Misuse of Anabolic Agents. Experimental and Clinical Endocrinology & Diabetes. 119(2). 86–94. 13 indexed citations
14.
Becker, Christiane, et al.. (2010). mRNA and microRNA quality control for RT-qPCR analysis. Methods. 50(4). 237–243. 202 indexed citations
15.
Riedmaier, Irmgard, et al.. (2009). RNA-Qualitätskontrolle in der Genexpressionsanalytik. BIOspektrum. 15. 512–514. 1 indexed citations
16.
Reiter, Martina, Aleš Tichopád, Irmgard Riedmaier, Michael W. Pfaffl, & Heinrich H.D. Meyer. (2009). Monitoring gene expression in muscle tissue of macaca fascicularis under the influence of testosterone and SARM. Hormone Molecular Biology and Clinical Investigation. 1(2). 73–79. 2 indexed citations
17.
Stolker, A.A.M., Maria Groot, J.J.P. Lasaroms, et al.. (2009). Detectability of testosterone esters and estradiol benzoate in bovine hair and plasma following pour-on treatment. Analytical and Bioanalytical Chemistry. 395(4). 1075–1087. 36 indexed citations
18.
Riedmaier, Irmgard, Aleš Tichopád, Martina Reiter, Michael W. Pfaffl, & Heinrich H.D. Meyer. (2009). Influence of testosterone and a novel SARM on gene expression in whole blood of Macaca fascicularis. The Journal of Steroid Biochemistry and Molecular Biology. 114(3-5). 167–173. 11 indexed citations
19.
Riedmaier, Irmgard, et al.. (2009). Validation of extraction methods for total RNA and miRNA from bovine blood prior to quantitative gene expression analyses. Biotechnology Letters. 32(1). 35–44. 34 indexed citations
20.
Riedmaier, Irmgard, Christiane Becker, Michael W. Pfaffl, & Heinrich H.D. Meyer. (2009). The use of omic technologies for biomarker development to trace functions of anabolic agents. Journal of Chromatography A. 1216(46). 8192–8199. 56 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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