Michael Ignarski

403 total citations
10 papers, 235 citations indexed

About

Michael Ignarski is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Michael Ignarski has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Plant Science. Recurrent topics in Michael Ignarski's work include RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers) and Cancer-related molecular mechanisms research (3 papers). Michael Ignarski is often cited by papers focused on RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers) and Cancer-related molecular mechanisms research (3 papers). Michael Ignarski collaborates with scholars based in Germany, France and Switzerland. Michael Ignarski's co-authors include Roman‐Ulrich Müller, Thomas Benzing, Mariusz Nowacki, Christoph Dieterich, Aditi Singh, Estienne C. Swart, Pamela Y. Sandoval, Annika Kötter, Virginie Marchand and Katrin Bohl and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and The EMBO Journal.

In The Last Decade

Michael Ignarski

10 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Ignarski Germany	7	185	81	30	18	14	10	235
Pingping Zheng China	7	120 0.6×	87 1.1×	7 0.2×	7 0.4×	14 1.0×	16	201
Fahimeh Falahi Netherlands	7	221 1.2×	34 0.4×	26 0.9×	5 0.3×	11 0.8×	8	278
Vadim Zalunin Slovakia	2	94 0.5×	28 0.3×	5 0.2×	8 0.4×	6 0.4×	4	146
Fan Cao China	7	111 0.6×	14 0.2×	5 0.2×	29 1.6×	11 0.8×	23	171
Guangjin Qu China	6	109 0.6×	94 1.2×	5 0.2×	3 0.2×	19 1.4×	11	157
Helen Nickerson United States	6	274 1.5×	12 0.1×	7 0.2×	18 1.0×	19 1.4×	8	387
Raghav Sehgal United States	4	109 0.6×	21 0.3×	3 0.1×	7 0.4×	41 2.9×	10	183
Xiaoxia Dai China	6	64 0.3×	30 0.4×	5 0.2×	3 0.2×	18 1.3×	11	130
Yuanguang Meng China	8	146 0.8×	73 0.9×	15 0.5×	111 6.2×	4 0.3×	17	303
Ruihuan Gu China	8	100 0.5×	25 0.3×	2 0.1×	7 0.4×	8 0.6×	13	288

Countries citing papers authored by Michael Ignarski

Since Specialization

Citations

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

Fields of papers citing papers by Michael Ignarski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ignarski

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

All Works

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10 of 10 papers shown

Singh, Aditi, et al.. (2022). Chromatin remodeling is required for sRNA ‐guided DNA elimination in Paramecium. The EMBO Journal. 41(22). e111839–e111839. 9 indexed citations

Benzing, Thomas, et al.. (2021). RNA-binding proteins and their role in kidney disease. Nature Reviews Nephrology. 18(3). 153–170. 37 indexed citations

Ignarski, Michael, Lucas Kühne, Linus Butt, et al.. (2021). CALINCA—A Novel Pipeline for the Identification of lncRNAs in Podocyte Disease. Cells. 10(3). 692–692. 4 indexed citations

Kubacki, Torsten, Assa Yeroslaviz, Martin R. Späth, et al.. (2020). The Integrated RNA Landscape of Renal Preconditioning against Ischemia-Reperfusion Injury. Journal of the American Society of Nephrology. 31(4). 716–730. 26 indexed citations

Esmaillie, Reza, Michael Ignarski, Katrin Bohl, et al.. (2019). Activation of Hypoxia-Inducible Factor Signaling Modulates the RNA Protein Interactome in Caenorhabditis elegans. iScience. 22. 466–476. 6 indexed citations

Ignarski, Michael, et al.. (2019). Long Non-Coding RNAs in Kidney Disease. International Journal of Molecular Sciences. 20(13). 3276–3276. 79 indexed citations

Ignarski, Michael, Rainer Kaiser, Reza Esmaillie, et al.. (2019). The RNA-Protein Interactome of Differentiated Kidney Tubular Epithelial Cells. Journal of the American Society of Nephrology. 30(4). 564–576. 14 indexed citations

Keller, Patrick, Annika Kötter, Stephan Werner, et al.. (2018). A Vastly Increased Chemical Variety of RNA Modifications Containing a Thioacetal Structure. Angewandte Chemie International Edition. 57(26). 7893–7897. 39 indexed citations

Keller, Patrick, Annika Kötter, Stephan Werner, et al.. (2018). Die stark wachsende chemische Vielfalt der RNA‐Modifikationen enthält eine Thioacetalstruktur. Angewandte Chemie. 130(26). 8019–8024. 3 indexed citations

10.

Ignarski, Michael, et al.. (2014). Paramecium tetraurelia chromatin assembly factor-1-like protein PtCAF-1 is involved in RNA-mediated control of DNA elimination. Nucleic Acids Research. 42(19). 11952–11964. 18 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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