Max Emperle

739 total citations
16 papers, 478 citations indexed

About

Max Emperle is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Max Emperle has authored 16 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Genetics. Recurrent topics in Max Emperle's work include Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (6 papers) and Genomics and Chromatin Dynamics (6 papers). Max Emperle is often cited by papers focused on Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (6 papers) and Genomics and Chromatin Dynamics (6 papers). Max Emperle collaborates with scholars based in Germany, United Kingdom and United States. Max Emperle's co-authors include Albert Jeltsch, Michael Dukatz, Pavel Bashtrykov, Renata Z. Jurkowska, Arumugam Rajavelu, Sabrina Adam, Richard Reinhardt, Katharina Holzer, Peter Sarkies and Petra Hájková and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Max Emperle

16 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Emperle Germany 11 421 74 70 41 30 16 478
Audrey Michaud France 7 522 1.2× 63 0.9× 20 0.3× 156 3.8× 31 1.0× 8 583
Kishore Nannapaneni United States 5 228 0.5× 77 1.0× 19 0.3× 51 1.2× 35 1.2× 7 331
Scott A. Lacadie United States 12 771 1.8× 32 0.4× 60 0.9× 66 1.6× 42 1.4× 13 861
Qiqun Tang China 11 337 0.8× 165 2.2× 44 0.6× 113 2.8× 14 0.5× 27 448
Xiaoying Bai United States 8 409 1.0× 103 1.4× 42 0.6× 43 1.0× 39 1.3× 16 487
Julia Klermund Germany 9 439 1.0× 94 1.3× 14 0.2× 28 0.7× 44 1.5× 13 509
Omer Schwartzman Israel 6 399 0.9× 52 0.7× 21 0.3× 100 2.4× 66 2.2× 7 454
Emilia Dimitrova United Kingdom 9 822 2.0× 150 2.0× 22 0.3× 79 1.9× 71 2.4× 12 887
Martijn Vermaat Netherlands 7 209 0.5× 84 1.1× 13 0.2× 41 1.0× 12 0.4× 9 287
Hitomi Nishio United States 8 493 1.2× 98 1.3× 62 0.9× 39 1.0× 76 2.5× 9 551

Countries citing papers authored by Max Emperle

Since Specialization
Citations

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

Fields of papers citing papers by Max Emperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Emperle

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

All Works

16 of 16 papers shown
1.
Emperle, Max, et al.. (2024). Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons. Communications Biology. 7(1). 582–582. 2 indexed citations
2.
Emperle, Max, et al.. (2022). The R736H cancer mutation in DNMT3A modulates the properties of the FF-subunit interface. Biochimie. 208. 66–74. 2 indexed citations
3.
Mack, Alexandra, Max Emperle, Sabrina Adam, et al.. (2022). Preferential Self-interaction of DNA Methyltransferase DNMT3A Subunits Containing the R882H Cancer Mutation Leads to Dominant Changes of Flanking Sequence Preferences. Journal of Molecular Biology. 434(7). 167482–167482. 8 indexed citations
4.
Jeltsch, Albert, Sabrina Adam, Michael Dukatz, Max Emperle, & Pavel Bashtrykov. (2021). Deep Enzymology Studies on DNA Methyltransferases Reveal Novel Connections between Flanking Sequences and Enzyme Activity. Journal of Molecular Biology. 433(19). 167186–167186. 19 indexed citations
5.
Emperle, Max, Sabrina Adam, Hannah S. Heil, et al.. (2021). Structural and biochemical insight into the mechanism of dual CpG site binding and methylation by the DNMT3A DNA methyltransferase. Nucleic Acids Research. 49(14). 8294–8308. 10 indexed citations
6.
Gao, Linfeng, Max Emperle, Yiran Guo, et al.. (2020). Comprehensive structure-function characterization of DNMT3B and DNMT3A reveals distinctive de novo DNA methylation mechanisms. Nature Communications. 11(1). 3355–3355. 124 indexed citations
7.
Nestl, Bettina M., et al.. (2020). Purification and Characterization of Recombinant Expressed Apple Allergen Mal d 1. Methods and Protocols. 4(1). 3–3. 8 indexed citations
8.
Emperle, Max, Sabrina Adam, Michael Dukatz, et al.. (2019). Mutations of R882 change flanking sequence preferences of the DNA methyltransferase DNMT3A and cellular methylation patterns. Nucleic Acids Research. 47(21). 11355–11367. 46 indexed citations
9.
Dukatz, Michael, et al.. (2019). H3K36me2/3 Binding and DNA Binding of the DNA Methyltransferase DNMT3A PWWP Domain Both Contribute to its Chromatin Interaction. Journal of Molecular Biology. 431(24). 5063–5074. 48 indexed citations
10.
Dukatz, Michael, Cristina E. Requena, Max Emperle, et al.. (2019). Mechanistic Insights into Cytosine-N3 Methylation by DNA Methyltransferase DNMT3A. Journal of Molecular Biology. 431(17). 3139–3145. 14 indexed citations
11.
Emperle, Max, Michael Dukatz, Katharina Holzer, et al.. (2018). The DNMT3A R882H mutation does not cause dominant negative effects in purified mixed DNMT3A/R882H complexes. Scientific Reports. 8(1). 13242–13242. 24 indexed citations
12.
Rošić, Silvana, Rachel Amouroux, Cristina E. Requena, et al.. (2018). Evolutionary analysis indicates that DNA alkylation damage is a byproduct of cytosine DNA methyltransferase activity. Nature Genetics. 50(3). 452–459. 66 indexed citations
13.
Emperle, Max, Arumugam Rajavelu, Paola B. Arimondo, et al.. (2018). The DNMT3A R882H mutant displays altered flanking sequence preferences. Nucleic Acids Research. 46(6). 3130–3139. 35 indexed citations
14.
Rajavelu, Arumugam, Max Emperle, Michael Dukatz, et al.. (2018). Chromatin-dependent allosteric regulation of DNMT3A activity by MeCP2. Nucleic Acids Research. 46(17). 9044–9056. 27 indexed citations
15.
Hassanzadeh, Malihe, Shabnam Mahernia, Mehdi Adib, et al.. (2017). Discovery of Novel and Selective DNA Methyltransferase 1 Inhibitors by Pharmacophore and Docking‐Based Virtual Screening. ChemistrySelect. 2(27). 8383–8392. 6 indexed citations
16.
Emperle, Max, Arumugam Rajavelu, Richard Reinhardt, Renata Z. Jurkowska, & Albert Jeltsch. (2014). Cooperative DNA Binding and Protein/DNA Fiber Formation Increases the Activity of the Dnmt3a DNA Methyltransferase. Journal of Biological Chemistry. 289(43). 29602–29613. 39 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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