Daniel Gebert

612 total citations
13 papers, 332 citations indexed

About

Daniel Gebert is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Daniel Gebert has authored 13 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Daniel Gebert's work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers) and Genomics and Phylogenetic Studies (5 papers). Daniel Gebert is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers) and Genomics and Phylogenetic Studies (5 papers). Daniel Gebert collaborates with scholars based in Germany, United Kingdom and United States. Daniel Gebert's co-authors include David Rosenkranz, Charlotte Hewel, Hans Zischler, René F. Ketting, Felipe Karam Teixeira, Jinghua Gui, Ruth Lehmann, Christian Berger, Ian R. Henderson and Anne C. Ferguson‐Smith and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Daniel Gebert

12 papers receiving 331 citations

Peers

Daniel Gebert

MB

PS

CR

GENET

ECOLO

Evelyn L. Eastwood United Kingdom

Jin Gao China

Amena Arif United States

Pavol Genzor United States

Emma Kneuss United Kingdom

Kaja A. Wasik United States

Adam N. Harris United States

Nadine Schulz Germany

Xin Zhiguo Li United States

Jordi Xiol France

Evelyn L. Eastwood United Kingdom

Daniel Gebert

498 ×1.9

MB

368 ×2.0

PS

72 ×1.0

CR

60 ×1.4

GENET

12 ×0.6

ECOLO

Citations per year, relative to Daniel Gebert Daniel Gebert (= 1×) peers Evelyn L. Eastwood

Countries citing papers authored by Daniel Gebert

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Gebert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gebert

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

All Works

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13 of 13 papers shown

1.

Gebert, Daniel, et al.. (2025). Analysis of 30 chromosome-level Drosophila genome assemblies reveals dynamic evolution of centromeric satellite repeats. Genome biology. 26(1). 63–63. 3 indexed citations

2.

Gui, Jinghua, et al.. (2024). Two distinct waves of transcriptome and translatome changes drive Drosophila germline stem cell differentiation. The EMBO Journal. 43(8). 1591–1617. 4 indexed citations

3.

Kessler, Noah J., Daniel Gebert, Nozomi Takahashi, et al.. (2023). Epigenetic inheritance is unfaithful at intermediately methylated CpG sites. Nature Communications. 14(1). 5336–5336. 5 indexed citations

4.

Gebert, Daniel, et al.. (2021). Large Drosophila germline piRNA clusters are evolutionarily labile and dispensable for transposon regulation. Molecular Cell. 81(19). 3965–3978.e5. 55 indexed citations

5.

Rosenkranz, David, Hans Zischler, & Daniel Gebert. (2021). piRNAclusterDB 2.0: update and expansion of the piRNA cluster database. Nucleic Acids Research. 50(D1). D259–D264. 28 indexed citations

6.

Gebert, Daniel, et al.. (2021). Luft-Volumenstrom bestimmen und regeln. 72(5). 27–29.

7.

Gebert, Daniel, Hans Zischler, & David Rosenkranz. (2019). Primate piRNA Cluster Evolution Suggests Limited Relevance of Pseudogenes in piRNA-Mediated Gene Regulation. Genome Biology and Evolution. 11(4). 1088–1104. 9 indexed citations

8.

Gebert, Daniel, et al.. (2019). Widespread selection for extremely high and low levels of secondary structure in coding sequences across all domains of life. Open Biology. 9(5). 190020–190020. 6 indexed citations

9.

Gebert, Daniel, et al.. (2018). PIWI genes and piRNAs are ubiquitously expressed in mollusks and show patterns of lineage-specific adaptation. Communications Biology. 1(1). 137–137. 56 indexed citations

10.

Gebert, Daniel, Charlotte Hewel, & David Rosenkranz. (2017). unitas: the universal tool for annotation of small RNAs. BMC Genomics. 18(1). 644–644. 80 indexed citations

11.

Hewel, Charlotte, et al.. (2017). Temperature-responsive miRNAs in Drosophila orchestrate adaptation to different ambient temperatures. RNA. 23(9). 1352–1364. 19 indexed citations

12.

Gebert, Daniel, René F. Ketting, Hans Zischler, & David Rosenkranz. (2015). piRNAs from Pig Testis Provide Evidence for a Conserved Role of the Piwi Pathway in Post-Transcriptional Gene Regulation in Mammals. PLoS ONE. 10(5). e0124860–e0124860. 42 indexed citations

13.

Gebert, Daniel & David Rosenkranz. (2015). RNA‐based regulation of transposon expression. Wiley Interdisciplinary Reviews - RNA. 6(6). 687–708. 25 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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