Thilo Sindlinger

539 total citations
9 papers, 155 citations indexed

About

Thilo Sindlinger is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Thilo Sindlinger has authored 9 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Cancer Research. Recurrent topics in Thilo Sindlinger's work include DNA Repair Mechanisms (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Thilo Sindlinger is often cited by papers focused on DNA Repair Mechanisms (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Thilo Sindlinger collaborates with scholars based in Germany, Belgium and Greece. Thilo Sindlinger's co-authors include María Moreno‐Villanueva, Alexander Bürkle, A. Leake, Thomas B. L. Kirkwood, Marcus Müller, Efstathios S. Gonos, Daniela Weber, Eugène Jansen, Olivier Toussaint and Nicolle Breusing and has published in prestigious journals such as Toxicology, Oxidative Medicine and Cellular Longevity and Redox Biology.

In The Last Decade

Thilo Sindlinger

9 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thilo Sindlinger Germany 6 47 38 20 18 17 9 155
WH Chang Taiwan 8 117 2.5× 22 0.6× 9 0.5× 30 1.7× 39 2.3× 13 335
Renata Lopes Araújo Brazil 9 88 1.9× 103 2.7× 4 0.2× 41 2.3× 31 1.8× 11 414
Katie Moriarty United States 2 78 1.7× 31 0.8× 16 0.8× 6 0.3× 13 0.8× 2 276
Meenakshi Krishna United States 4 100 2.1× 21 0.6× 4 0.2× 5 0.3× 29 1.7× 5 334
Pamela A. Nono Nankam Germany 9 61 1.3× 108 2.8× 17 0.8× 22 1.2× 13 0.8× 11 236
Yuning Liu China 11 90 1.9× 37 1.0× 6 0.3× 10 0.6× 9 0.5× 27 283
Min Lei China 9 89 1.9× 43 1.1× 5 0.3× 7 0.4× 7 0.4× 43 278
Heba Al‐Hussaini Kuwait 10 182 3.9× 32 0.8× 17 0.8× 13 0.7× 30 1.8× 19 378
Yue Niu China 11 94 2.0× 15 0.4× 16 0.8× 7 0.4× 44 2.6× 45 346
O. Ye. Akimov Ukraine 7 60 1.3× 92 2.4× 11 0.6× 17 0.9× 9 0.5× 64 292

Countries citing papers authored by Thilo Sindlinger

Since Specialization
Citations

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

Fields of papers citing papers by Thilo Sindlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thilo Sindlinger

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

All Works

9 of 9 papers shown
1.
Pinchuk, Ilya, Daniela Weber, Bastian Kochlik, et al.. (2019). Gender- and age-dependencies of oxidative stress, as detected based on the steady state concentrations of different biomarkers in the MARK-AGE study. Redox Biology. 24. 101204–101204. 45 indexed citations
2.
Weber, Daniela, Wolfgang Stuetz, Olivier Toussaint, et al.. (2017). Associations between Specific Redox Biomarkers and Age in a Large European Cohort: The MARK‐AGE Project. Oxidative Medicine and Cellular Longevity. 2017(1). 1401452–1401452. 30 indexed citations
3.
Moreno‐Villanueva, María, Tobias Kötter, Thilo Sindlinger, et al.. (2015). MARK-AGE data management: Cleaning, exploration and visualization of data. Mechanisms of Ageing and Development. 151. 38–44. 8 indexed citations
4.
Kötter, Theo, María Moreno‐Villanueva, Thilo Sindlinger, et al.. (2015). The MARK-AGE extended database: data integration and pre-processing. Mechanisms of Ageing and Development. 151. 31–37. 2 indexed citations
5.
Moreno‐Villanueva, María, et al.. (2015). The MARK-AGE phenotypic database: Structure and strategy. Mechanisms of Ageing and Development. 151. 26–30. 7 indexed citations
7.
Moreno‐Villanueva, María, Thilo Sindlinger, A. Leake, et al.. (2009). A modified and automated version of the 'Fluorimetric Detection of Alkaline DNA Unwinding' method to quantify formation and repair of DNA strand breaks. BMC Biotechnology. 9(1). 39–39. 51 indexed citations
8.
Dębiak, Małgorzata, María Moreno‐Villanueva, Thilo Sindlinger, & Alexander Bürkle. (2006). Towards optimization of high-throughput methods for assessing genotoxic damage by carcinogenic chemicals or ionizing radiation. Toxicology. 233(1-3). 237–237. 1 indexed citations
9.
Moreno‐Villanueva, María, Marcus Müller, A. Leake, et al.. (2006). An automated version of the fluorescence-detected alkaline DNA-unwinding (FADU) assay to measure DNA strand breaks and DNA repair. Experimental Gerontology. 42(1-2). 144–144. 1 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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