Jürgen Schmitz

8.2k total citations · 1 hit paper
105 papers, 5.7k citations indexed

About

Jürgen Schmitz is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Jürgen Schmitz has authored 105 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 39 papers in Plant Science and 34 papers in Genetics. Recurrent topics in Jürgen Schmitz's work include Genomics and Phylogenetic Studies (40 papers), Chromosomal and Genetic Variations (32 papers) and Genetic diversity and population structure (21 papers). Jürgen Schmitz is often cited by papers focused on Genomics and Phylogenetic Studies (40 papers), Chromosomal and Genetic Variations (32 papers) and Genetic diversity and population structure (21 papers). Jürgen Schmitz collaborates with scholars based in Germany, United States and Australia. Jürgen Schmitz's co-authors include Jürgen Brosius, Gennady Churakov, Hans Zischler, Andrzej Dzionek, Jan Ole Kriegs, Stefan Miltenyi, Petra Schmidt, David Buck, Anja Fuchs and Lukas Schrader and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jürgen Schmitz

103 papers receiving 5.6k citations

Hit Papers

BDCA-2, BDCA-3, and BDCA-4: Three Markers for Distinct Su... 2000 2026 2008 2017 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Schmitz Germany 45 2.7k 1.6k 1.5k 1.2k 797 105 5.7k
Yoko Satta Japan 43 2.6k 1.0× 1.2k 0.8× 1.3k 0.8× 2.0k 1.7× 193 0.2× 138 5.7k
Héctor N. Seuánez Brazil 30 1.7k 0.6× 818 0.5× 424 0.3× 1.1k 0.9× 538 0.7× 160 4.1k
Wesley C. Warren United States 41 2.9k 1.1× 1.5k 0.9× 430 0.3× 3.0k 2.5× 388 0.5× 155 6.5k
Kazuho Ikeo Japan 45 4.5k 1.7× 1.2k 0.8× 648 0.4× 1.1k 0.9× 500 0.6× 171 7.2k
David M. Irwin Canada 41 3.8k 1.4× 417 0.3× 770 0.5× 3.3k 2.7× 635 0.8× 249 8.6k
Naoyuki Takahata Japan 53 3.5k 1.3× 1.0k 0.6× 1.2k 0.8× 4.4k 3.6× 423 0.5× 126 8.5k
Marilyn B. Renfree Australia 48 4.4k 1.7× 642 0.4× 1.1k 0.7× 4.6k 3.8× 419 0.5× 382 10.2k
Tomàs Marquès‐Bonet Spain 46 3.5k 1.3× 1.3k 0.8× 357 0.2× 3.3k 2.7× 295 0.4× 144 6.3k
Hans Zischler Germany 34 2.0k 0.7× 894 0.6× 289 0.2× 1.1k 0.9× 239 0.3× 95 3.7k
Shigehiro Kuraku Japan 38 2.9k 1.1× 766 0.5× 314 0.2× 1.2k 1.0× 455 0.6× 143 5.0k

Countries citing papers authored by Jürgen Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Schmitz

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Schmitz. A scholar is included among the top collaborators of Jürgen Schmitz 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 Schmitz. Jürgen Schmitz 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.
Steffen, Johannes, et al.. (2025). Group 2 innate lymphoid cells drive inhibitory synapse formation with lasting effects on learning and memory. Journal of Neuroinflammation. 22(1). 163–163.
2.
Frankenberg, Stephen, Sarah Lucas, Liliya Doronina, et al.. (2025). Unearthing the secrets of Australia’s most enigmatic and cryptic mammal, the marsupial mole. Science Advances. 11(1). eado4140–eado4140. 1 indexed citations
3.
Grundmann, Norbert, et al.. (2024). NewickTreeModifier: A simple web tool to prune and modify Newick trees. Journal of Heredity. 115(2). 183–187.
4.
Doronina, Liliya, et al.. (2023). Homoplasy of Retrotransposon Insertions in Toothed Whales. Genes. 14(9). 1830–1830. 2 indexed citations
5.
Doronina, Liliya, et al.. (2022). Reunion of Australasian Possums by Shared SINE Insertions. Systematic Biology. 71(5). 1045–1053. 8 indexed citations
6.
Grundmann, Norbert, et al.. (2022). paPAML: An Improved Computational Tool to Explore Selection Pressure on Protein-Coding Sequences. Genes. 13(6). 1090–1090. 4 indexed citations
7.
Doronina, Liliya, et al.. (2022). Euarchontoglires Challenged by Incomplete Lineage Sorting. Genes. 13(5). 774–774. 3 indexed citations
8.
Doronina, Liliya, Graham M. Hughes, Diana D. Moreno-Santillán, et al.. (2022). Contradictory Phylogenetic Signals in the Laurasiatheria Anomaly Zone. Genes. 13(5). 766–766. 8 indexed citations
9.
Churakov, Gennady, et al.. (2022). A 4-lineage Statistical Suite to Evaluate the Support of Large-Scale Retrotransposon Insertion Data to Reconstruct Evolutionary Trees. Systematic Biology. 72(3). 649–661. 4 indexed citations
10.
Doronina, Liliya, et al.. (2021). Gene Conversion amongst Alu SINE Elements. Genes. 12(6). 905–905. 5 indexed citations
11.
Schmitz, Jürgen, et al.. (2021). Evolution of Renal-Disease Factor APOL1 Results in Cis and Trans Orientations at the Endoplasmic Reticulum That Both Show Cytotoxic Effects. Molecular Biology and Evolution. 38(11). 4962–4976. 14 indexed citations
12.
Churakov, Gennady, Fengjun Zhang, Norbert Grundmann, et al.. (2020). The multicomparative 2-n-way genome suite. Genome Research. 30(10). 1508–1516. 11 indexed citations
13.
Schrader, Lukas & Jürgen Schmitz. (2018). The impact of transposable elements in adaptive evolution. Molecular Ecology. 28(6). 1537–1549. 201 indexed citations
14.
Schmitz, Jürgen, et al.. (2017). T3SS-Independent Uptake of the Short-Trip Toxin-Related Recombinant NleC Effector of Enteropathogenic Escherichia coli Leads to NF-κB p65 Cleavage. Frontiers in Cellular and Infection Microbiology. 7. 119–119. 14 indexed citations
15.
Mason, Victor C., Gang Li, Patrick Minx, et al.. (2016). Genomic analysis reveals hidden biodiversity within colugos, the sister group to primates. Science Advances. 2(8). e1600633–e1600633. 62 indexed citations
16.
Schmitz, Jürgen, et al.. (2007). CD303 (BDCA-2) mediated inhibition of interferon type I production in plasmacytoid dendritic cells is linked to SYK, BLNK and PKC delta signaling (89.25). The Journal of Immunology. 178(1_Supplement). S153–S153. 1 indexed citations
17.
Kriegs, Jan Ole, Gennady Churakov, Martin Kiefmann, et al.. (2006). Retroposed Elements as Archives for the Evolutionary History of Placental Mammals. PLoS Biology. 4(4). e91–e91. 206 indexed citations
18.
Zink, Dorothea, Jürgen Schmitz, Timofey S. Rozhdestvensky, et al.. (2006). An anthropoid-specific segmental duplication on human chromosome 1q22. Genomics. 88(2). 143–151. 21 indexed citations
19.
Schmitz, Jürgen & Hans Zischler. (2003). A novel family of tRNA-derived SINEs in the colugo and two new retrotransposable markers separating dermopterans from primates. Molecular Phylogenetics and Evolution. 28(2). 341–349. 38 indexed citations
20.
Schmitz, Jürgen, C. Stussi-Garaud, Eckhard Tacke, et al.. (1997). In SituLocalization of the Putative Movement Protein (pr17) from Potato Leafroll Luteovirus (PLRV) in Infected and Transgenic Potato Plants. Virology. 235(2). 311–322. 62 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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