Daniel Summerer

3.0k total citations
90 papers, 2.4k citations indexed

About

Daniel Summerer is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Daniel Summerer has authored 90 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 11 papers in Materials Chemistry and 10 papers in Organic Chemistry. Recurrent topics in Daniel Summerer's work include Epigenetics and DNA Methylation (32 papers), RNA modifications and cancer (25 papers) and Advanced biosensing and bioanalysis techniques (19 papers). Daniel Summerer is often cited by papers focused on Epigenetics and DNA Methylation (32 papers), RNA modifications and cancer (25 papers) and Advanced biosensing and bioanalysis techniques (19 papers). Daniel Summerer collaborates with scholars based in Germany, United States and United Kingdom. Daniel Summerer's co-authors include Andreas Marx, Peter G. Schultz, Moritz J. Schmidt, Malte Drescher, Alexander Deiters, Bernhard H. Geierstanger, Grzegorz Kubik, Edward A. Lemke, Scott M. Brittain and Mridul Mukherji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Daniel Summerer

89 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Summerer 1.8k 494 400 370 252 90 2.4k
Wei Wan 1.9k 1.0× 430 0.9× 576 1.4× 127 0.3× 210 0.8× 60 2.6k
Kirsten Bacia 2.9k 1.6× 306 0.6× 192 0.5× 760 2.1× 135 0.5× 48 3.6k
Christine Koehler 1.4k 0.8× 677 1.4× 248 0.6× 262 0.7× 81 0.3× 24 1.8k
Arnaud Gautier 2.1k 1.1× 955 1.9× 542 1.4× 906 2.4× 163 0.6× 67 3.2k
Joachim W. Engels 2.6k 1.4× 889 1.8× 824 2.1× 653 1.8× 137 0.5× 183 3.9k
Marcia Levitus 1.9k 1.0× 633 1.3× 1.1k 2.8× 605 1.6× 100 0.4× 65 3.6k
David M. Chenoweth 1.6k 0.9× 639 1.3× 519 1.3× 88 0.2× 118 0.5× 89 2.8k
Ulf Diederichsen 3.0k 1.6× 611 1.2× 275 0.7× 208 0.6× 48 0.2× 150 3.7k
Wenjiao Song 2.5k 1.4× 1.2k 2.4× 350 0.9× 157 0.4× 114 0.5× 21 3.0k
Shinya Tsukiji 2.0k 1.1× 1.1k 2.3× 522 1.3× 155 0.4× 76 0.3× 83 2.9k

Countries citing papers authored by Daniel Summerer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Summerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Summerer

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

All Works

20 of 20 papers shown
1.
Linser, Rasmus, et al.. (2024). Evolved Readers of 5‐Carboxylcytosine CpG Dyads Reveal a High Versatility of the Methyl‐CpG‐Binding Domain for Recognition of Noncanonical Epigenetic Marks. Angewandte Chemie International Edition. 63(17). e202318837–e202318837. 1 indexed citations
2.
Boom, Johannes van den, et al.. (2024). Light‐Activatable Ubiquitin for Studying Linkage‐Specific Ubiquitin Chain Formation Kinetics. Advanced Science. 12(6). e2406570–e2406570. 2 indexed citations
3.
Summerer, Daniel, et al.. (2020). Combining site-directed spin labeling in vivo and in-cell EPR distance determination. Physical Chemistry Chemical Physics. 22(9). 4875–4879. 46 indexed citations
4.
5.
Schmidt, Moritz J., et al.. (2019). Site-directed spin labelling of proteins by Suzuki–Miyaura coupling via a genetically encoded aryliodide amino acid. Chemical Communications. 55(13). 1923–1926. 17 indexed citations
6.
Witte, Anna Kristina, et al.. (2018). Complete, Programmable Decoding of Oxidized 5-Methylcytosine Nucleobases in DNA by Chemoselective Blockage of Universal Transcription-Activator-Like Effector Repeats. Journal of the American Chemical Society. 140(18). 5904–5908. 11 indexed citations
7.
Schmidt, Moritz J. & Daniel Summerer. (2018). Directed Evolution of Orthogonal Pyrrolysyl-tRNA Synthetases in Escherichia coli for the Genetic Encoding of Noncanonical Amino Acids. Methods in molecular biology. 1728. 97–111. 3 indexed citations
8.
Klauser, Benedikt, Charlotte Rehm, Daniel Summerer, & Jörg S. Hartig. (2014). Engineering of Ribozyme-Based Aminoglycoside Switches of Gene Expression by In Vivo Genetic Selection in Saccharomyces cerevisiae. Methods in enzymology on CD-ROM/Methods in enzymology. 550. 301–320. 8 indexed citations
9.
Kubik, Grzegorz, et al.. (2014). Programmable and Highly Resolved In Vitro Detection of 5‐Methylcytosine by TALEs. Angewandte Chemie International Edition. 53(23). 6002–6006. 37 indexed citations
10.
Schmidt, Moritz J. & Daniel Summerer. (2013). Red‐Light‐Controlled Protein–RNA Crosslinking with a Genetically Encoded Furan. Angewandte Chemie International Edition. 52(17). 4690–4693. 56 indexed citations
11.
Summerer, Daniel, Haiguo Wu, Cheng Yang, et al.. (2010). Targeted high throughput sequencing of a cancer-related exome subset by specific sequence capture with a fully automated microarray platform. Genomics. 95(4). 241–246. 27 indexed citations
12.
13.
Summerer, Daniel, Haiguo Wu, Bettina Haase, et al.. (2009). Microarray-based multicycle-enrichment of genomic subsets for targeted next-generation sequencing. Genome Research. 19(9). 1616–1621. 42 indexed citations
14.
Summerer, Daniel. (2009). Enabling technologies of genomic-scale sequence enrichment for targeted high-throughput sequencing. Genomics. 94(6). 363–368. 66 indexed citations
15.
Summerer, Daniel, Shawn Chen, Ning Wu, et al.. (2006). A genetically encoded fluorescent amino acid. Proceedings of the National Academy of Sciences. 103(26). 9785–9789. 225 indexed citations
16.
Strerath, Michael, et al.. (2004). Increased Single‐Nucleotide Discrimination of PCR by Primer Probes Bearing Hydrophobic 4′C Modifications. ChemBioChem. 5(3). 333–339. 15 indexed citations
17.
Marx, Andreas & Daniel Summerer. (2004). Eine DNA‐Doppelhelix mit größerem Durchmesser. Angewandte Chemie. 116(13). 1653–1654. 4 indexed citations
18.
Marx, Andreas & Daniel Summerer. (2004). Bigger DNA: New Double Helix with Expanded Size. Angewandte Chemie International Edition. 43(13). 1625–1626. 5 indexed citations
19.
Deiters, Alexander, T. Ashton Cropp, Daniel Summerer, Mridul Mukherji, & Peter G. Schultz. (2004). Site-specific PEGylation of proteins containing unnatural amino acids. Bioorganic & Medicinal Chemistry Letters. 14(23). 5743–5745. 202 indexed citations
20.
Summerer, Daniel, et al.. (2002). DNA minor groove hydration probed with 4’-alkylated thymidines. Chemical Communications. 2314–2315. 10 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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