Sandra Techritz

451 total citations
9 papers, 368 citations indexed

About

Sandra Techritz is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Sandra Techritz has authored 9 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Biomedical Engineering. Recurrent topics in Sandra Techritz's work include Biosensors and Analytical Detection (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Mitochondrial Function and Pathology (3 papers). Sandra Techritz is often cited by papers focused on Biosensors and Analytical Detection (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Mitochondrial Function and Pathology (3 papers). Sandra Techritz collaborates with scholars based in Germany, Austria and Czechia. Sandra Techritz's co-authors include Markus Schuelke, M Madej, Alexander Hüttenhofer, Ralph Bock, Anja Zemann, Stephanie Ruf, Larissa Mueller, Norbert Jakubowski, Antje Herrmann and Ulrich Panne and has published in prestigious journals such as Nucleic Acids Research, Biochimica et Biophysica Acta (BBA) - Biomembranes and The Analyst.

In The Last Decade

Sandra Techritz

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Techritz Germany 9 236 99 72 49 47 9 368
Laith Z. Samarah United States 10 256 1.1× 215 2.2× 20 0.3× 36 0.7× 27 0.6× 15 396
Marialaura Dilillo Italy 12 253 1.1× 233 2.4× 17 0.2× 49 1.0× 21 0.4× 14 414
Sylwia A. Stopka United States 16 412 1.7× 415 4.2× 52 0.7× 22 0.4× 10 0.2× 37 671
Elizabeth H. Peuchen United States 11 173 0.7× 114 1.2× 9 0.1× 14 0.3× 22 0.5× 12 288
Aiping Lu China 15 390 1.7× 87 0.9× 11 0.2× 48 1.0× 19 0.4× 26 509
Janel R. McLean United States 11 415 1.8× 114 1.2× 17 0.2× 8 0.2× 5 0.1× 16 513
Mostafa Zarei Germany 15 409 1.7× 178 1.8× 11 0.2× 10 0.2× 52 1.1× 21 517
Malcolm G. Pluskal United States 14 340 1.4× 67 0.7× 12 0.2× 6 0.1× 53 1.1× 22 456
Trond E. Singstad Norway 7 190 0.8× 44 0.4× 37 0.5× 58 1.2× 17 0.4× 8 491
Huan Sun United States 11 171 0.7× 115 1.2× 30 0.4× 13 0.3× 33 0.7× 19 339

Countries citing papers authored by Sandra Techritz

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Techritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Techritz

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Techritz. A scholar is included among the top collaborators of Sandra Techritz 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 Sandra Techritz. Sandra Techritz 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.
Mueller, Larissa, Antje Herrmann, Sandra Techritz, Ulrich Panne, & Norbert Jakubowski. (2017). Quantitative characterization of single cells by use of immunocytochemistry combined with multiplex LA-ICP-MS. Analytical and Bioanalytical Chemistry. 409(14). 3667–3676. 40 indexed citations
2.
Herrmann, Antje, Sandra Techritz, Norbert Jakubowski, et al.. (2017). A simple metal staining procedure for identification and visualization of single cells by LA-ICP-MS. The Analyst. 142(10). 1703–1710. 31 indexed citations
3.
Neumann, Boris, Sandra Techritz, Guido Sauter, et al.. (2015). Internal standardization of LA-ICP-MS immuno imaging via printing of universal metal spiked inks onto tissue sections. Journal of Analytical Atomic Spectrometry. 31(3). 801–808. 25 indexed citations
4.
Neumann, Boris, Sandra Techritz, Michael Linscheid, et al.. (2014). Development of a calibration and standardization procedure for LA-ICP-MS using a conventional ink-jet printer for quantification of proteins in electro- and Western-blot assays. Journal of Analytical Atomic Spectrometry. 29(7). 1282–1282. 30 indexed citations
5.
Waentig, Larissa, Sandra Techritz, Norbert Jakubowski, & P. Roos. (2013). A multi-parametric microarray for protein profiling: simultaneous analysis of 8 different cytochromes via differentially element tagged antibodies and laser ablation ICP-MS. The Analyst. 138(21). 6309–6309. 32 indexed citations
6.
7.
Smorodchenko, Alina, Anne Rupprecht, Olaf Ninnemann, et al.. (2009). Comparative analysis of uncoupling protein 4 distribution in various tissues under physiological conditions and during development. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(10). 2309–2319. 54 indexed citations
8.
Zemann, Anja, M Madej, Markus Schuelke, et al.. (2006). Identification of small non-coding RNAs from mitochondria and chloroplasts. Nucleic Acids Research. 34(14). 3842–3852. 129 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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