M Madej

780 total citations
11 papers, 412 citations indexed

About

M Madej is a scholar working on Molecular Biology, Otorhinolaryngology and Ecology. According to data from OpenAlex, M Madej has authored 11 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Otorhinolaryngology and 1 paper in Ecology. Recurrent topics in M Madej's work include RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (3 papers) and CRISPR and Genetic Engineering (2 papers). M Madej is often cited by papers focused on RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (3 papers) and CRISPR and Genetic Engineering (2 papers). M Madej collaborates with scholars based in United Kingdom, Austria and Germany. M Madej's co-authors include Alexander Hüttenhofer, Sandra Techritz, Markus Schuelke, Ralph Bock, Anja Zemann, Richard R. Meehan, Stephanie Ruf, Donncha S. Dunican, James P. Reddington and Sari Pennings and has published in prestigious journals such as Nucleic Acids Research, Development and PLoS Computational Biology.

In The Last Decade

M Madej

11 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M Madej United Kingdom	9	375	84	73	51	49	11	412
Audrey Costes France	6	401 1.1×	178 2.1×	35 0.5×	31 0.6×	25 0.5×	6	429
Meng-Chao Yao United States	10	432 1.2×	126 1.5×	144 2.0×	52 1.0×	87 1.8×	11	501
John K. Eykelenboom United Kingdom	10	409 1.1×	120 1.4×	52 0.7×	33 0.6×	31 0.6×	14	454
Laura L. Vagner Russia	6	264 0.7×	51 0.6×	74 1.0×	49 1.0×	34 0.7×	8	361
Barbara Arbeithuber Austria	11	386 1.0×	213 2.5×	99 1.4×	75 1.5×	19 0.4×	24	543
M O’Meara United States	6	278 0.7×	77 0.9×	64 0.9×	28 0.5×	13 0.3×	11	371
Yuewan Luo China	5	551 1.5×	47 0.6×	71 1.0×	42 0.8×	24 0.5×	6	630
Maki Yoshihama Japan	11	456 1.2×	37 0.4×	61 0.8×	66 1.3×	23 0.5×	16	525
Rajani Kanth Gudipati France	9	684 1.8×	39 0.5×	29 0.4×	43 0.8×	28 0.6×	12	710
Mathieu Catala Canada	12	432 1.2×	37 0.4×	85 1.2×	53 1.0×	19 0.4×	14	494

Countries citing papers authored by M Madej

Since Specialization

Citations

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

Fields of papers citing papers by M Madej

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Madej

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Chung, Chih-Yao, Benjamin O’Callaghan, M Madej, et al.. (2025). Metabolic remodeling in hiPSC-derived myofibers carrying the m.3243A>G mutation. Stem Cell Reports. 20(4). 102448–102448. 1 indexed citations

2.

Eaton, Simon, Giuliana Ferrari, M Madej, et al.. (2021). Dystrophin deficiency affects human astrocyte properties and response to damage. Glia. 70(3). 466–490. 18 indexed citations

3.

Reichmann, Judith, James H. Crichton, M Madej, et al.. (2012). Microarray Analysis of LTR Retrotransposon Silencing Identifies Hdac1 as a Regulator of Retrotransposon Expression in Mouse Embryonic Stem Cells. PLoS Computational Biology. 8(4). e1002486–e1002486. 51 indexed citations

4.

Meng, Huan, Colm E. Nestor, Donncha S. Dunican, et al.. (2011). Apoptosis and DNA Methylation. Cancers. 3(2). 1798–1820. 15 indexed citations

5.

Ruzov, Alexey, Ekaterina Savitskaya, Jamie A. Hackett, et al.. (2009). The non-methylated DNA-binding function of Kaiso is not required in earlyXenopus laevisdevelopment. Development. 136(5). 729–738. 43 indexed citations

6.

Ruzov, Alexey, Jamie A. Hackett, Anna Prokhortchouk, et al.. (2009). The interaction of xKaiso with xTcf3: a revised model for integration of epigenetic and Wnt signalling pathways. Development. 136(5). 723–727. 42 indexed citations

7.

Madej, M, Moritz Niemann, Alexander Hüttenhofer, & H. Ulrich Göringer. (2008). Identification of novel guide RNAs from the mitochondria ofTrypanosoma brucei. RNA Biology. 5(2). 84–91. 16 indexed citations

8.

Sonnleitner, Elisabeth, Theresa Sorger‐Domenigg, M Madej, et al.. (2008). Detection of small RNAs in Pseudomonas aeruginosa by RNomics and structure-based bioinformatic tools. Microbiology. 154(10). 3175–3187. 78 indexed citations

9.

Madej, M, Juan Alfonzo, & Alexander Hüttenhofer. (2007). Small ncRNA transcriptome analysis from kinetoplast mitochondria of Leishmania tarentolae. Nucleic Acids Research. 35(5). 1544–1554. 18 indexed citations

10.

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

11.

Madej, M. (1981). [Reactions of the lymph nodes in laryngeal cancer].. PubMed. 27. 253–66. 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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