Manuela Moldt

1.8k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Manuela Moldt is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Manuela Moldt has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Plant Science. Recurrent topics in Manuela Moldt's work include Genomics and Chromatin Dynamics (6 papers), interferon and immune responses (4 papers) and RNA and protein synthesis mechanisms (4 papers). Manuela Moldt is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), interferon and immune responses (4 papers) and RNA and protein synthesis mechanisms (4 papers). Manuela Moldt collaborates with scholars based in Germany, United States and Czechia. Manuela Moldt's co-authors include Karl‐Peter Hopfner, Gregor Witte, Tobias Deimling, Filiz Çivril, Veit Hornung, Carina C. de Oliveira Mann, Andrea Ablasser, Sebastian Eustermann, Kevin Schall and Dirk Kostrewa and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Manuela Moldt

10 papers receiving 1.3k citations

Hit Papers

Structural mechanism of cytosolic DNA sensing by cGAS 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuela Moldt Germany 10 833 819 275 124 106 10 1.3k
Filiz Çivril Germany 5 655 0.8× 761 0.9× 256 0.9× 91 0.7× 91 0.9× 6 1.1k
Rachel E. Rigby United Kingdom 12 910 1.1× 585 0.7× 172 0.6× 176 1.4× 117 1.1× 16 1.3k
Joanna Brunel France 10 501 0.6× 637 0.8× 151 0.5× 211 1.7× 75 0.7× 14 932
Artem A. Serganov United States 8 848 1.0× 1.2k 1.5× 529 1.9× 108 0.9× 127 1.2× 8 1.5k
Sonja Schmid United States 14 377 0.5× 398 0.5× 159 0.6× 214 1.7× 77 0.7× 21 784
Benjamin A. Diner United States 11 469 0.6× 699 0.9× 180 0.7× 371 3.0× 88 0.8× 11 976
Kiyohiro Takahasi Japan 14 763 0.9× 1.1k 1.3× 236 0.9× 183 1.5× 196 1.8× 18 1.5k
Ghizlane Maarifi France 16 400 0.5× 345 0.4× 183 0.7× 111 0.9× 99 0.9× 25 717
Boyan Grigorov France 12 539 0.6× 618 0.8× 228 0.8× 236 1.9× 68 0.6× 20 1.1k
Marlene Wambach United States 13 867 1.0× 577 0.7× 163 0.6× 323 2.6× 84 0.8× 13 1.2k

Countries citing papers authored by Manuela Moldt

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Moldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Moldt

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

All Works

10 of 10 papers shown
1.
Zhang, Min, Thomas Hoffmann, Olga Kolesnikova, et al.. (2023). Hexasome-INO80 complex reveals structural basis of noncanonical nucleosome remodeling. Science. 381(6655). 313–319. 26 indexed citations
2.
Jung, James, Markus Höpfler, Kevin Schall, et al.. (2022). Structural mechanism of extranucleosomal DNA readout by the INO80 complex. Science Advances. 8(49). eadd3189–eadd3189. 22 indexed citations
3.
Oberbeckmann, Elisa, Shinya Watanabe, Lucas Farnung, et al.. (2021). Ruler elements in chromatin remodelers set nucleosome array spacing and phasing. Nature Communications. 12(1). 3232–3232. 42 indexed citations
4.
Oberbeckmann, Elisa, Nils Krietenstein, Yingfei Wang, et al.. (2021). Genome information processing by the INO80 chromatin remodeler positions nucleosomes. Nature Communications. 12(1). 3231–3231. 34 indexed citations
5.
Eustermann, Sebastian, Kevin Schall, Dirk Kostrewa, et al.. (2018). Structural basis for ATP-dependent chromatin remodelling by the INO80 complex. Nature. 556(7701). 386–390. 176 indexed citations
6.
Lässig, Charlotte, Konstantin M. J. Sparrer, Carina C. de Oliveira Mann, et al.. (2015). ATP hydrolysis by the viral RNA sensor RIG-I prevents unintentional recognition of self-RNA. eLife. 4. 78 indexed citations
7.
Motz, C., Axel Kirchhofer, Manuela Moldt, et al.. (2013). Paramyxovirus V Proteins Disrupt the Fold of the RNA Sensor MDA5 to Inhibit Antiviral Signaling. Science. 339(6120). 690–693. 102 indexed citations
8.
Çivril, Filiz, Tobias Deimling, Carina C. de Oliveira Mann, et al.. (2013). Structural mechanism of cytosolic DNA sensing by cGAS. Nature. 498(7454). 332–337. 669 indexed citations breakdown →
9.
Cui, Sheng, Ramya Viswanathan, Otto Berninghausen, et al.. (2011). Structure and mechanism of the Swi2/Snf2 remodeller Mot1 in complex with its substrate TBP. Nature. 475(7356). 403–407. 60 indexed citations
10.
Çivril, Filiz, M.D. Bennett, Manuela Moldt, et al.. (2011). The RIG‐I ATPase domain structure reveals insights into ATP‐dependent antiviral signalling. EMBO Reports. 12(11). 1127–1134. 78 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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