Dominik Jacob

1.1k total citations · 1 hit paper
8 papers, 782 citations indexed

About

Dominik Jacob is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Dominik Jacob has authored 8 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pharmacology and 1 paper in Oncology. Recurrent topics in Dominik Jacob's work include RNA modifications and cancer (5 papers), Cancer-related gene regulation (4 papers) and RNA and protein synthesis mechanisms (3 papers). Dominik Jacob is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer-related gene regulation (4 papers) and RNA and protein synthesis mechanisms (3 papers). Dominik Jacob collaborates with scholars based in Germany, Switzerland and United Kingdom. Dominik Jacob's co-authors include Mark Helm, Jean‐Yves Roignant, Tina Lenče, Matthias Soller, Nastasja Kreim, Irmgard U. Haussmann, Marc Bühler, Philip Knuckles, Rodrigo Villaseñor and Daniel Heß and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Dominik Jacob

7 papers receiving 775 citations

Hit Papers

Zc3h13/Flacc is required for adenosine methylation by bri... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Zc3h13/Flacc is required for adenosine methylation by bridging the mRNA-binding factor Rbm15/Spenito to the m6A machinery component Wtap/Fl(2)d
    2018 463 citations Philip Knuckles, Tina Lenče et al. Genes & Development profile →

Peers

Dominik Jacob
Rodrigo Villaseñor Switzerland
Wang Jia-hua China
David Wiener Israel
Yuma Ishigami Japan
Nhan van Tran France
Felix G.M. Ernst Belgium
Ursula Toth Austria
Hanxiao Sun China
Marc Bayer Germany
Vladimir Despic United States
Rodrigo Villaseñor Switzerland
Dominik Jacob
Citations per year, relative to Dominik Jacob Dominik Jacob (= 1×) peers Rodrigo Villaseñor

Countries citing papers authored by Dominik Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Jacob

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

All Works

8 of 8 papers shown
1.
Jacob, Dominik, Yi Zhong, Felix Geist, et al.. (2025). Evaluation of small interfering RNA–dependent knockdowns of drug-metabolizing enzymes in multiwell array culture of primary human hepatocyte spheroids for estimation of fraction metabolized. Drug Metabolism and Disposition. 53(4). 100062–100062. 2 indexed citations
2.
Jacob, Dominik, Ulrike Gradhand, Christine K. Maurer, et al.. (2025). In vitro-in vivo extrapolation of intrinsic clearance based on data from human hepatocyte spheroids – a case study with the low-clearance drug xevinapant. Xenobiotica. 55(10). 729–736.
3.
Bawankar, Praveen, Tina Lenče, Chiara Paolantoni, et al.. (2021). Hakai is required for stabilization of core components of the m6A mRNA methylation machinery. Nature Communications. 12(1). 3778–3778. 113 indexed citations
4.
Schmidt, Martina, Dominik Jacob, Nadja Hellmann, et al.. (2021). Binding and/or hydrolysis of purine‐based nucleotides is not required for IM30 ring formation. FEBS Letters. 595(14). 1876–1885. 7 indexed citations
5.
Galvanin, Adeline, Lilia Ayadi, Valérie Bourguignon‐Igel, et al.. (2020). Bacterial tRNA 2′-O-methylation is dynamically regulated under stress conditions and modulates innate immune response. Nucleic Acids Research. 48(22). 12833–12844. 34 indexed citations
6.
Jacob, Dominik, Kathrin Thüring, Virginie Marchand, et al.. (2019). Absolute Quantification of Noncoding RNA by Microscale Thermophoresis. Angewandte Chemie International Edition. 58(28). 9565–9569. 30 indexed citations
7.
Knuckles, Philip, Tina Lenče, Irmgard U. Haussmann, et al.. (2018). Zc3h13/Flacc is required for adenosine methylation by bridging the mRNA-binding factor Rbm15/Spenito to the m6A machinery component Wtap/Fl(2)d. Genes & Development. 32(5-6). 415–429. 463 indexed citations breakdown →
8.
Legrand, Carine, Francesca Tuorto, Mark Hartmann, et al.. (2017). Statistically robust methylation calling for whole-transcriptome bisulfite sequencing reveals distinct methylation patterns for mouse RNAs. Genome Research. 27(9). 1589–1596. 133 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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