Jörg Hackermüller

14.1k total citations · 2 hit papers
60 papers, 4.0k citations indexed

About

Jörg Hackermüller is a scholar working on Molecular Biology, Cancer Research and Pollution. According to data from OpenAlex, Jörg Hackermüller has authored 60 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 16 papers in Cancer Research and 6 papers in Pollution. Recurrent topics in Jörg Hackermüller's work include RNA Research and Splicing (15 papers), RNA and protein synthesis mechanisms (14 papers) and Cancer-related molecular mechanisms research (12 papers). Jörg Hackermüller is often cited by papers focused on RNA Research and Splicing (15 papers), RNA and protein synthesis mechanisms (14 papers) and Cancer-related molecular mechanisms research (12 papers). Jörg Hackermüller collaborates with scholars based in Germany, United States and Austria. Jörg Hackermüller's co-authors include Peter F. Stadler, Steve Hoffmann, Jörg Vogel, Cynthia M. Sharma, Kristin Reiche, Sven Findeiß, Richard Reinhardt, Alexandra Sittka, Fabien Darfeuille and Sandrine Chabas and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jörg Hackermüller

57 papers receiving 4.0k citations

Hit Papers

The primary transcriptome of the major human pathogen Hel... 2007 2026 2013 2019 2010 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Hackermüller Germany 26 3.0k 1.2k 572 478 352 60 4.0k
Nancy Yu Sweden 16 2.2k 0.7× 521 0.5× 535 0.9× 571 1.2× 228 0.6× 27 3.5k
Steve Hoffmann Germany 25 2.7k 0.9× 806 0.7× 580 1.0× 468 1.0× 269 0.8× 63 3.6k
Zhongwei Li China 38 3.5k 1.1× 1.1k 0.9× 697 1.2× 389 0.8× 235 0.7× 100 4.3k
Gang Wu United States 37 3.0k 1.0× 520 0.5× 552 1.0× 231 0.5× 521 1.5× 151 4.7k
Carole A. Foy United Kingdom 28 2.0k 0.7× 738 0.6× 319 0.6× 338 0.7× 123 0.3× 64 3.6k
Yongjun Zhao Canada 34 4.6k 1.5× 1.7k 1.5× 772 1.3× 331 0.7× 399 1.1× 102 6.5k
Ming‐Ta Hsu Taiwan 31 3.3k 1.1× 2.0k 1.7× 612 1.1× 289 0.6× 197 0.6× 63 4.5k
Sonia Tarazona Spain 16 2.1k 0.7× 590 0.5× 340 0.6× 172 0.4× 239 0.7× 31 3.2k
Miguel Pignatelli Spain 25 2.1k 0.7× 294 0.3× 590 1.0× 366 0.8× 163 0.5× 32 3.1k
Vinod Scaria India 37 3.6k 1.2× 2.1k 1.8× 518 0.9× 116 0.2× 388 1.1× 209 5.0k

Countries citing papers authored by Jörg Hackermüller

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Hackermüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Hackermüller

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Hackermüller. A scholar is included among the top collaborators of Jörg Hackermüller 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 Jörg Hackermüller. Jörg Hackermüller 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.
Canzler, Sebastian, et al.. (2025). From toxicogenomics data to cumulative assessment groups: a framework for chemical grouping. Archives of Toxicology. 100(1). 173–191.
2.
Hackermüller, Jörg, et al.. (2025). An extended miRNA repertoire in Rattus norvegicus. Frontiers in Bioinformatics. 5. 1545680–1545680.
3.
Karkossa, Isabel, Jana Schor, Martin Wabitsch, et al.. (2024). Unveiling the dynamics of acetylation and phosphorylation in SGBS and 3T3-L1 adipogenesis. iScience. 27(6). 109711–109711. 2 indexed citations
4.
Beckers, Liza‐Marie, Rolf Altenburger, Werner Brack, et al.. (2023). A data-derived reference mixture representative of European wastewater treatment plant effluents to complement mixture assessment. Environment International. 179. 108155–108155. 2 indexed citations
5.
Wang, Zhipeng, Sven‐Bastiaan Haange, Volker Haake, et al.. (2023). Assessing the Influence of Propylthiouracil and Phenytoin on the Metabolomes of the Thyroid, Liver, and Plasma in Rats. Metabolites. 13(7). 847–847. 3 indexed citations
6.
Scheibe, Patrick, et al.. (2023). deepFPlearn +: enhancing toxicity prediction across the chemical universe using graph neural networks. Bioinformatics. 39(12). 2 indexed citations
7.
Carido, Madalena, Manuela Völkner, Felix Wagner, et al.. (2023). Reliability of human retina organoid generation from hiPSC-derived neuroepithelial cysts. Frontiers in Cellular Neuroscience. 17. 1166641–1166641. 4 indexed citations
8.
Schor, Jana, et al.. (2022). AI for predicting chemical-effect associations at the chemical universe level— deepFPlearn. Briefings in Bioinformatics. 23(5). 5 indexed citations
9.
Völkner, Manuela, Felix Wagner, Madalena Carido, et al.. (2022). HBEGF-TNF induce a complex outer retinal pathology with photoreceptor cell extrusion in human organoids. Nature Communications. 13(1). 6183–6183. 32 indexed citations
10.
Schubert, Kristin, Isabel Karkossa, Jana Schor, et al.. (2021). A Multi-Omics Analysis of Mucosal-Associated-Invariant T Cells Reveals Key Drivers of Distinct Modes of Activation. Frontiers in Immunology. 12. 616967–616967. 13 indexed citations
11.
Nitsche, Anne, Christian Arnold, Uwe Ueberham, et al.. (2020). Alzheimer-related genes show accelerated evolution. Molecular Psychiatry. 26(10). 5790–5796. 10 indexed citations
12.
Essig, Katharina, Joao C. Guimaraes, Claudia Lohs, et al.. (2018). Roquin targets mRNAs in a 3′-UTR-specific manner by different modes of regulation. Nature Communications. 9(1). 3810–3810. 41 indexed citations
13.
Rehage, Nina, Gesine Behrens, Andreas Maiser, et al.. (2018). Binding of NUFIP2 to Roquin promotes recognition and regulation of ICOS mRNA. Nature Communications. 9(1). 299–299. 28 indexed citations
14.
Bauer, Mario, Jörg Hackermüller, Jana Schor, et al.. (2018). Specific induction of the unique GPR15 expression in heterogeneous blood lymphocytes by tobacco smoking. Biomarkers. 24(3). 217–224. 15 indexed citations
15.
Buschmann, Tilo, Kristin Reiche, Renate Burger, et al.. (2017). STAT3-induced long noncoding RNAs in multiple myeloma cells display different properties in cancer. Scientific Reports. 7(1). 7976–7976. 26 indexed citations
16.
Kauffmann, Hans-Martin, Hennicke Kamp, Regine Fuchs, et al.. (2017). Framework for the quality assurance of ’omics technologies considering GLP requirements. Regulatory Toxicology and Pharmacology. 91. S27–S35. 25 indexed citations
17.
Boll, Kerstin, Kristin Reiche, Katharina Kasack, et al.. (2012). MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma. Oncogene. 32(3). 277–285. 180 indexed citations
18.
Hoffmann, Steve, Christian Otto, Stefan Kurtz, et al.. (2009). Fast Mapping of Short Sequences with Mismatches, Insertions and Deletions Using Index Structures. PLoS Computational Biology. 5(9). e1000502–e1000502. 389 indexed citations
19.
Stadler, Peter F., Julian J.‐L. Chen, Jörg Hackermüller, et al.. (2009). Evolution of Vault RNAs. Molecular Biology and Evolution. 26(9). 1975–1991. 124 indexed citations
20.
Löffler, Dennis, Katja Brocke-Heidrich, Gabriele Pfeifer, et al.. (2007). Interleukin-6–dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancer. Blood. 110(4). 1330–1333. 524 indexed citations breakdown →

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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