Kai Bernd Stadermann

450 total citations
10 papers, 271 citations indexed

About

Kai Bernd Stadermann is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Kai Bernd Stadermann has authored 10 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Kai Bernd Stadermann's work include Genomics and Phylogenetic Studies (5 papers), Photosynthetic Processes and Mechanisms (2 papers) and Gene expression and cancer classification (2 papers). Kai Bernd Stadermann is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Photosynthetic Processes and Mechanisms (2 papers) and Gene expression and cancer classification (2 papers). Kai Bernd Stadermann collaborates with scholars based in Germany, Canada and Egypt. Kai Bernd Stadermann's co-authors include Bernd Weißhaar, Alexander Goesmann, Rolf Hilker, Daniela Holtgräwe, Jens Stoye, Jörn Kalinowski, Jasmin Straube, Sebastian Jaenicke, Oliver Schwengers and Bruno Hüettel and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

Kai Bernd Stadermann

10 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Bernd Stadermann Germany 7 179 74 52 37 23 10 271
Yongkai Li China 8 117 0.7× 95 1.3× 27 0.5× 46 1.2× 16 0.7× 22 305
Otakar Hlaváček Czechia 9 274 1.5× 46 0.6× 34 0.7× 17 0.5× 14 0.6× 17 341
Valentina Tosato Italy 9 189 1.1× 56 0.8× 46 0.9× 26 0.7× 12 0.5× 19 251
Martina Neboháčová Slovakia 13 238 1.3× 37 0.5× 29 0.6× 14 0.4× 10 0.4× 23 348
Ming-Qiang Xu China 11 218 1.2× 23 0.3× 29 0.6× 16 0.4× 20 0.9× 12 365
Arpita Ghosh India 11 262 1.5× 96 1.3× 29 0.6× 11 0.3× 10 0.4× 32 402
Zeyu Wang China 11 224 1.3× 70 0.9× 15 0.3× 8 0.2× 18 0.8× 41 351
Yanping Xing China 11 277 1.5× 263 3.6× 83 1.6× 17 0.5× 20 0.9× 49 485
Tiago Antônio de Souza Brazil 14 200 1.1× 87 1.2× 33 0.6× 13 0.4× 12 0.5× 36 460
Donald W. MacDonald United Kingdom 12 297 1.7× 124 1.7× 76 1.5× 80 2.2× 23 1.0× 18 439

Countries citing papers authored by Kai Bernd Stadermann

Since Specialization
Citations

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

Fields of papers citing papers by Kai Bernd Stadermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Bernd Stadermann. 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 Kai Bernd Stadermann. The network helps show where Kai Bernd Stadermann may publish in the future.

Co-authorship network of co-authors of Kai Bernd Stadermann

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

All Works

10 of 10 papers shown
1.
Peltzer, Alexander, Christopher Mohr, Kai Bernd Stadermann, Matthias Zwick, & Ramona Schmid. (2024). nf-core/nanostring: a pipeline for reproducible NanoString nCounter analysis. Bioinformatics. 40(1). 1 indexed citations
2.
Zeng, Shufei, Denis Delić, Chang Chu, et al.. (2021). Antifibrotic effects of low dose SGLT2 Inhibition with empagliflozin in comparison to Ang II receptor blockade with telmisartan in 5/6 nephrectomised rats on high salt diet. Biomedicine & Pharmacotherapy. 146. 112606–112606. 26 indexed citations
3.
4.
Pucker, Boas, Daniela Holtgräwe, Kai Bernd Stadermann, et al.. (2019). A chromosome-level sequence assembly reveals the structure of the Arabidopsis thaliana Nd-1 genome and its gene set. PLoS ONE. 14(5). e0216233–e0216233. 29 indexed citations
5.
Stadermann, Kai Bernd, et al.. (2017). First complete genome sequence of Bacillus glycinifermentans B-27. Journal of Biotechnology. 257. 187–191. 6 indexed citations
6.
Weißhaar, Bernd, Heinz Himmelbauer, Thomas Schmidt, et al.. (2016). Sugar Beet BeetMap-3, and Steps to Improve the Genome Assembly and Genome Sequence Annotation (W875). PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations
7.
Hilker, Rolf, Kai Bernd Stadermann, Oliver Schwengers, et al.. (2016). ReadXplorer 2—detailed read mapping analysis and visualization from one single source. Bioinformatics. 32(24). 3702–3708. 74 indexed citations
8.
Stadermann, Kai Bernd, Daniela Holtgräwe, & Bernd Weißhaar. (2016). Chloroplast Genome Sequence of Arabidopsis thaliana Accession Landsberg erecta , Assembled from Single-Molecule, Real-Time Sequencing Data. Genome Announcements. 4(5). 6 indexed citations
9.
Stadermann, Kai Bernd, Bernd Weißhaar, & Daniela Holtgräwe. (2015). SMRT sequencing only de novo assembly of the sugar beet (Beta vulgaris) chloroplast genome. BMC Bioinformatics. 16(1). 295–295. 25 indexed citations
10.
Hilker, Rolf, Kai Bernd Stadermann, Jörn Kalinowski, et al.. (2014). ReadXplorer—visualization and analysis of mapped sequences. Bioinformatics. 30(16). 2247–2254. 95 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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2026