Jürgen Dönitz

1.6k total citations
24 papers, 626 citations indexed

About

Jürgen Dönitz is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Jürgen Dönitz has authored 24 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Insect Science. Recurrent topics in Jürgen Dönitz's work include Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Genomics and Phylogenetic Studies (5 papers). Jürgen Dönitz is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Genomics and Phylogenetic Studies (5 papers). Jürgen Dönitz collaborates with scholars based in Germany, United States and United Kingdom. Jürgen Dönitz's co-authors include Edgar Wingender, Martin Haubrock, Gregor Bucher, Lizzy Gerischer, Daniela Großmann, Christian Schmitt-Engel, Mathias Krull, Martin Klingler, Michael Schoppmeier and Maike Tech and has published in prestigious journals such as Nucleic Acids Research, Blood and PLoS ONE.

In The Last Decade

Jürgen Dönitz

22 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Dönitz Germany 11 542 142 102 84 62 24 626
Hangnoh Lee United States 13 391 0.7× 57 0.4× 75 0.7× 90 1.1× 54 0.9× 26 592
Yujie Fan China 11 384 0.7× 88 0.6× 89 0.9× 79 0.9× 38 0.6× 41 516
Martine Decoville France 13 432 0.8× 76 0.5× 87 0.9× 119 1.4× 68 1.1× 28 581
Yuewan Luo China 5 551 1.0× 32 0.2× 71 0.7× 47 0.6× 50 0.8× 6 630
Weiwei Fu China 14 312 0.6× 71 0.5× 104 1.0× 265 3.2× 39 0.6× 25 573
Metewo Selase Enuameh United States 8 577 1.1× 43 0.3× 85 0.8× 145 1.7× 25 0.4× 11 698
Aidan J. Peterson United States 11 495 0.9× 37 0.3× 81 0.8× 76 0.9× 35 0.6× 16 563
Ryuichi P. Sugino Japan 11 286 0.5× 56 0.4× 102 1.0× 235 2.8× 23 0.4× 20 502
Lillie L. Searles United States 16 672 1.2× 52 0.4× 193 1.9× 168 2.0× 43 0.7× 26 791
Patricia Deng United States 9 1.2k 2.2× 55 0.4× 54 0.5× 57 0.7× 92 1.5× 9 1.3k

Countries citing papers authored by Jürgen Dönitz

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Dönitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Dönitz

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Dönitz. A scholar is included among the top collaborators of Jürgen Dönitz 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 Jürgen Dönitz. Jürgen Dönitz 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.
König, Alexander, et al.. (2025). Onkopus: precise interpretation and prioritization of sequence variants for biomedical research and precision medicine. Nucleic Acids Research. 53(W1). W431–W439.
2.
Schmidt, Nicole, Maren Sitte, Gabriela Salinas, et al.. (2025). Discovery of molecularly-informed therapeutic strategies for mature T-cell leukemias and lymphomas. Blood Advances. 9(20). 5327–5340.
3.
Buer, Benjamin, Jürgen Dönitz, Janna Siemanowski, et al.. (2024). Superior target genes and pathways for RNAi‐mediated pest control revealed by genome‐wide analysis in the beetle Tribolium castaneum. Pest Management Science. 81(2). 1026–1036. 10 indexed citations
4.
Yang, Jingyu, Tim Beißbarth, & Jürgen Dönitz. (2023). Onkopipe: A Snakemake Based DNA-Sequencing Pipeline for Clinical Variant Analysis in Precision Medicine. Studies in health technology and informatics. 307. 60–68. 1 indexed citations
5.
Kotsis, Fruzsina, Michael Altenbuchinger, Jürgen Dönitz, et al.. (2023). Expectation of clinical decision support systems: a survey study among nephrologist end-users. BMC Medical Informatics and Decision Making. 23(1). 239–239. 3 indexed citations
6.
Großmann, Daniela, Jürgen Dönitz, Janna Siemanowski, et al.. (2022). Screens in fly and beetle reveal vastly divergent gene sets required for developmental processes. BMC Biology. 20(1). 38–38. 15 indexed citations
7.
Altenbuchinger, Michael, et al.. (2022). Bucket Fuser: Statistical Signal Extraction for 1D 1H NMR Metabolomic Data. Metabolites. 12(9). 812–812. 1 indexed citations
8.
Aromolaran, Olufemi, et al.. (2021). Identifying essential genes across eukaryotes by machine learning. NAR Genomics and Bioinformatics. 3(4). lqab110–lqab110. 15 indexed citations
9.
Wingender, Edgar, et al.. (2017). TFClass: expanding the classification of human transcription factors to their mammalian orthologs. Nucleic Acids Research. 46(D1). D343–D347. 81 indexed citations
10.
Dönitz, Jürgen, et al.. (2017). Expanded and updated data and a query pipeline for iBeetle-Base. Nucleic Acids Research. 46(D1). D831–D835. 28 indexed citations
11.
Ulrich, Julia, Van‐Anh Dao, Upalparna Majumdar, et al.. (2015). Large scale RNAi screen in Tribolium reveals novel target genes for pest control and the proteasome as prime target. BMC Genomics. 16(1). 674–674. 119 indexed citations
12.
Dönitz, Jürgen, Christian Schmitt-Engel, Daniela Großmann, et al.. (2014). iBeetle-Base: a database for RNAi phenotypes in the red flour beetle Tribolium castaneum. Nucleic Acids Research. 43(D1). D720–D725. 100 indexed citations
13.
Dönitz, Jürgen & Edgar Wingender. (2014). EndoNet: an information resource about the intercellular signaling network. BMC Systems Biology. 8(1). 49–49. 11 indexed citations
14.
Wingender, Edgar, et al.. (2014). TFClass: a classification of human transcription factors and their rodent orthologs. Nucleic Acids Research. 43(D1). D97–D102. 82 indexed citations
15.
Dönitz, Jürgen, Daniela Großmann, Christian Schmitt-Engel, et al.. (2013). TrOn: An Anatomical Ontology for the Beetle Tribolium castaneum. PLoS ONE. 8(7). e70695–e70695. 11 indexed citations
16.
Wingender, Edgar, et al.. (2012). TFClass: an expandable hierarchical classification of human transcription factors. Nucleic Acids Research. 41(D1). D165–D170. 104 indexed citations
17.
Dönitz, Jürgen & Edgar Wingender. (2012). The ontology-based answers (OBA) service: a connector for embedded usage of ontologies in applications. Frontiers in Genetics. 3. 197–197. 10 indexed citations
18.
Dönitz, Jürgen, et al.. (2011). Planar cell movements and oriented cell division during early primitive streak formation in the mammalian embryo. Developmental Dynamics. 240(8). 1905–1916. 14 indexed citations
19.
Dönitz, Jürgen, et al.. (2007). EndoNet: an information resource about regulatory networks of cell-to-cell communication. Nucleic Acids Research. 36(Database). D689–D694. 8 indexed citations
20.
Degenhardt, Juliana, et al.. (2007). DEEP--A tool for differential expression effector prediction. Nucleic Acids Research. 35(Web Server). W619–W624. 1 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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