Michael Piechotta

1.5k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Michael Piechotta is a scholar working on Molecular Biology, Cancer Research and Control and Systems Engineering. According to data from OpenAlex, Michael Piechotta has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Control and Systems Engineering. Recurrent topics in Michael Piechotta's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). Michael Piechotta is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). Michael Piechotta collaborates with scholars based in Germany, Israel and Luxembourg. Michael Piechotta's co-authors include Christoph Dieterich, Emanuel Wyler, Markus Landthaler, Andranik Ivanov, Nikolaus Rajewsky, Sebastian Memczak, Erez Y. Levanon, Francesca Torti, Hagit T. Porath and Uwe Ohler and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Michael Piechotta

8 papers receiving 1.0k citations

Hit Papers

Analysis of Intron Sequences Reveals Hallmarks of Circula... 2014 2026 2018 2022 2014 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Analysis of Intron Sequences Reveals Hallmarks of Circular RNA Biogenesis in Animals
    2014 856 citations Andranik Ivanov, Sebastian Memczak et al. Cell Reports profile →

Peers

Michael Piechotta
Seung-Jun Kim South Korea
Shujuan Meng China
Xu-Kai Ma China
Wang Lq China
Simona Aufiero Netherlands
Wen Hui Li China
Byeongsoo Kang South Korea
Seung-Jun Kim South Korea
Michael Piechotta
Citations per year, relative to Michael Piechotta Michael Piechotta (= 1×) peers Seung-Jun Kim

Countries citing papers authored by Michael Piechotta

Since Specialization
Citations

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

Fields of papers citing papers by Michael Piechotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Piechotta

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Piechotta. A scholar is included among the top collaborators of Michael Piechotta 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 Michael Piechotta. Michael Piechotta 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.
Piechotta, Michael, et al.. (2025). MoDorado: enhanced detection of tRNA modifications in nanopore sequencing by off-label use of modification callers. Nucleic Acids Research. 53(15). 1 indexed citations
2.
3.
Piechotta, Michael, et al.. (2023). Detection of queuosine and queuosine precursors in tRNAs by direct RNA sequencing. Nucleic Acids Research. 51(20). 11197–11212. 12 indexed citations
4.
Vries, Isabel S. Naarmann‐de, Christiane Zorbas, Michael Piechotta, et al.. (2023). Comprehensive identification of diverse ribosomal RNA modifications by targeted nanopore direct RNA sequencing and JACUSA2. RNA Biology. 20(1). 652–665. 11 indexed citations
5.
Piechotta, Michael, Isabel S. Naarmann‐de Vries, Qi Wang, Janine Altmüller, & Christoph Dieterich. (2022). RNA modification mapping with JACUSA2. Genome biology. 23(1). 115–115. 44 indexed citations
6.
Piechotta, Michael, Emanuel Wyler, Uwe Ohler, Markus Landthaler, & Christoph Dieterich. (2017). JACUSA: site-specific identification of RNA editing events from replicate sequencing data. BMC Bioinformatics. 18(1). 7–7. 70 indexed citations
7.
Schubert, Markus, et al.. (2016). An imaging technique for characterization of fluid flow pattern on industrial-scale column sieve trays. Process Safety and Environmental Protection. 111. 138–146. 27 indexed citations
8.
Ivanov, Andranik, Sebastian Memczak, Emanuel Wyler, et al.. (2014). Analysis of Intron Sequences Reveals Hallmarks of Circular RNA Biogenesis in Animals. Cell Reports. 10(2). 170–177. 856 indexed citations breakdown →
9.
Piechotta, Michael & Christoph Dieterich. (2013). ACCUSA2: multi-purpose SNV calling enhanced by probabilistic integration of quality scores. Bioinformatics. 29(14). 1809–1810. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Seung-Jun Kim Breakdown of academic impact, for papers by Shujuan Meng Breakdown of academic impact, for papers by Xu-Kai Ma Breakdown of academic impact, for papers by Wang Lq Breakdown of academic impact, for papers by Simona Aufiero Breakdown of academic impact, for papers by Wen Hui Li Breakdown of academic impact, for papers by Byeongsoo Kang
Rankless by CCL
2026