Moritz M. Pfleiderer

435 total citations
11 papers, 270 citations indexed

About

Moritz M. Pfleiderer is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Moritz M. Pfleiderer has authored 11 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Moritz M. Pfleiderer's work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Moritz M. Pfleiderer is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Moritz M. Pfleiderer collaborates with scholars based in France, Switzerland and Germany. Moritz M. Pfleiderer's co-authors include Wojciech P. Galej, Rukmini Mukherjee, Sagar Bhogaraju, Michael Adams, Dong Hyuk Shin, Ivan Đikić, Jaime López-Mosqueda, Florian Bonn, Sissy Kalayil and Bärbel S. Blaum and has published in prestigious journals such as Nature, Science and Molecular Cell.

In The Last Decade

Moritz M. Pfleiderer

11 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moritz M. Pfleiderer France 9 167 54 52 49 46 11 270
Kalanghad Puthankalam Srinivas India 7 273 1.6× 26 0.5× 34 0.7× 79 1.6× 46 1.0× 15 408
Ashu Kumar India 10 140 0.8× 18 0.3× 50 1.0× 109 2.2× 22 0.5× 23 362
Nathan C. Simon United States 9 172 1.0× 44 0.8× 157 3.0× 14 0.3× 93 2.0× 12 366
Fabian Hia Japan 12 498 3.0× 10 0.2× 66 1.3× 39 0.8× 51 1.1× 15 640
Caishang Zheng China 14 333 2.0× 7 0.1× 124 2.4× 81 1.7× 18 0.4× 16 554
Yajie Gu United States 9 342 2.0× 26 0.5× 35 0.7× 20 0.4× 14 0.3× 17 425
Peter Reichelt Germany 8 463 2.8× 22 0.4× 71 1.4× 29 0.6× 23 0.5× 10 582
Basit Jabbar Pakistan 11 138 0.8× 15 0.3× 64 1.2× 23 0.5× 18 0.4× 18 343
Bornali Deb India 10 313 1.9× 10 0.2× 36 0.7× 34 0.7× 16 0.3× 14 416
Stuart A. Ali Austria 9 199 1.2× 27 0.5× 43 0.8× 39 0.8× 25 0.5× 17 352

Countries citing papers authored by Moritz M. Pfleiderer

Since Specialization
Citations

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

Fields of papers citing papers by Moritz M. Pfleiderer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz M. Pfleiderer

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

All Works

11 of 11 papers shown
1.
Loeff, Luuk, et al.. (2025). Mechanistic basis for PYROXD1-mediated protection of the human tRNA ligase complex against oxidative inactivation. Nature Structural & Molecular Biology. 32(7). 1205–1212. 1 indexed citations
2.
Muhar, Matthias, Raphael Hofmann, Lukas T. Henneberg, et al.. (2025). C-terminal amides mark proteins for degradation via SCF–FBXO31. Nature. 638(8050). 519–527. 8 indexed citations
3.
Pfleiderer, Moritz M., et al.. (2024). Structural basis of the Integrator complex assembly and association with transcription factors. Molecular Cell. 84(13). 2542–2552.e5. 13 indexed citations
4.
Offley, Sarah, et al.. (2023). A combinatorial approach to uncover an additional Integrator subunit. Cell Reports. 42(3). 112244–112244. 19 indexed citations
5.
Fisch, Daniel, Moritz M. Pfleiderer, Fabian Wendt, et al.. (2023). PIM1 controls GBP1 activity to limit self-damage and to guard against pathogen infection. Science. 382(6666). eadg2253–eadg2253. 21 indexed citations
6.
Pfleiderer, Moritz M. & Wojciech P. Galej. (2021). Structure of the catalytic core of the Integrator complex. Molecular Cell. 81(6). 1246–1259.e8. 41 indexed citations
7.
Pfleiderer, Moritz M. & Wojciech P. Galej. (2021). Emerging insights into the function and structure of the Integrator complex. Transcription. 12(5). 251–265. 12 indexed citations
8.
Becker, Miriam, Lilo Greune, Moritz M. Pfleiderer, et al.. (2019). Infectious Entry of Merkel Cell Polyomavirus. Journal of Virology. 93(6). 41 indexed citations
9.
Bhogaraju, Sagar, Florian Bonn, Rukmini Mukherjee, et al.. (2019). Inhibition of bacterial ubiquitin ligases by SidJ–calmodulin catalysed glutamylation. Nature. 572(7769). 382–386. 89 indexed citations
11.
Lizak, Christian, L.J. Worrall, Lars Baumann, et al.. (2017). X-ray crystallographic structure of a bacterial polysialyltransferase provides insight into the biosynthesis of capsular polysialic acid. Scientific Reports. 7(1). 5842–5842. 16 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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