Karin Hahnke

1.2k total citations
18 papers, 824 citations indexed

About

Karin Hahnke is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Karin Hahnke has authored 18 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Infectious Diseases. Recurrent topics in Karin Hahnke's work include Tuberculosis Research and Epidemiology (5 papers), RNA and protein synthesis mechanisms (5 papers) and Bacteriophages and microbial interactions (3 papers). Karin Hahnke is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), RNA and protein synthesis mechanisms (5 papers) and Bacteriophages and microbial interactions (3 papers). Karin Hahnke collaborates with scholars based in Germany, Sweden and United States. Karin Hahnke's co-authors include Stefan H. E. Kaufmann, Hans‐Joachim Mollenkopf, Anca Dorhoi, Geraldine Nouailles, Ellen Heinemann, Sabine Jörg, Antje Kahnert, Peter Seiler, Maik Stein and Silke Bandermann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Karin Hahnke

17 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Hahnke Germany 12 355 323 309 216 128 18 824
Stian Foss Norway 23 469 1.3× 494 1.5× 172 0.6× 128 0.6× 27 0.2× 32 1.2k
Wenjun Xiao China 13 95 0.3× 247 0.8× 261 0.8× 130 0.6× 82 0.6× 33 745
Ulrike Dirmeier United States 13 329 0.9× 294 0.9× 105 0.3× 205 0.9× 137 1.1× 14 832
Xiaoyun Chen China 15 196 0.6× 292 0.9× 43 0.1× 110 0.5× 89 0.7× 41 605
Lynne J. Anguish United States 18 173 0.5× 404 1.3× 172 0.6× 34 0.2× 127 1.0× 24 995
Rémi Fritzen United Kingdom 9 216 0.6× 411 1.3× 121 0.4× 69 0.3× 45 0.4× 15 777
Grant Shimamoto United States 15 168 0.5× 667 2.1× 245 0.8× 59 0.3× 57 0.4× 22 1.2k
Betty A. Ortiz‐Conde United States 15 68 0.2× 200 0.6× 116 0.4× 209 1.0× 51 0.4× 20 608
Caroline Deswarte France 16 251 0.7× 334 1.0× 115 0.4× 117 0.5× 65 0.5× 35 933
Yuefei Lou Canada 9 168 0.5× 617 1.9× 49 0.2× 46 0.2× 46 0.4× 12 909

Countries citing papers authored by Karin Hahnke

Since Specialization
Citations

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

Fields of papers citing papers by Karin Hahnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Hahnke

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

All Works

18 of 18 papers shown
1.
Ignatov, Dmitriy, Vivekanandan Shanmuganathan, Rina Ahmed-Begrich, et al.. (2025). RNA-binding protein YebC enhances translation of proline-rich amino acid stretches in bacteria. Nature Communications. 16(1). 6262–6262.
2.
Hahnke, Karin, Anne-Laure Lécrivain, Katja Schmidt, et al.. (2024). Dynamics of diversified A-to-I editing in Streptococcus pyogenes is governed by changes in mRNA stability. Nucleic Acids Research. 52(18). 11234–11253. 5 indexed citations
3.
Schmidt, Katja, et al.. (2024). Expanding the genetic toolbox for the obligate human pathogen Streptococcus pyogenes. Frontiers in Bioengineering and Biotechnology. 12. 1395659–1395659. 1 indexed citations
4.
Lécrivain, Anne-Laure, Thibaud T. Renault, Karin Hahnke, et al.. (2020). An RNA-seq based comparative approach reveals the transcriptome-wide interplay between 3′-to-5′ exoRNases and RNase Y. Nature Communications. 11(1). 1587–1587. 27 indexed citations
5.
Gopinath, Krishnamoorthy, et al.. (2019). Mycofactocin Is Associated with Ethanol Metabolism in Mycobacteria. mBio. 10(3). 18 indexed citations
6.
Lécrivain, Anne-Laure, et al.. (2018). RNase Y-mediated regulation of the streptococcal pyrogenic exotoxin B. RNA Biology. 15(10). 1336–1347. 10 indexed citations
7.
Lécrivain, Anne-Laure, Anaïs Le Rhun, Thibaud T. Renault, et al.. (2018). In vivo 3′-to-5′ exoribonuclease targetomes of Streptococcus pyogenes. Proceedings of the National Academy of Sciences. 115(46). 11814–11819. 21 indexed citations
8.
Domaszewska, Teresa, Karin Hahnke, Hans‐Joachim Mollenkopf, et al.. (2017). Concordant and discordant gene expression patterns in mouse strains identify best-fit animal model for human tuberculosis. Scientific Reports. 7(1). 12094–12094. 35 indexed citations
9.
Vogelzang, Alexis, Laura Lozza, Stephen T. Reece, et al.. (2016). Neonatal Fc Receptor Regulation of Lung Immunoglobulin and CD103 + Dendritic Cells Confers Transient Susceptibility to Tuberculosis. Infection and Immunity. 84(10). 2914–2921. 13 indexed citations
10.
Dorhoi, Anca, Vladimir Yeremeev, Geraldine Nouailles, et al.. (2014). Type I IFN signaling triggers immunopathology in tuberculosis‐susceptible mice by modulating lung phagocyte dynamics. European Journal of Immunology. 44(8). 2380–2393. 159 indexed citations
11.
Dorhoi, Anca, Marco Iannaccone, Maura Farinacci, et al.. (2013). MicroRNA-223 controls susceptibility to tuberculosis by regulating lung neutrophil recruitment. Journal of Clinical Investigation. 123(11). 4836–4848. 237 indexed citations
12.
Mollenkopf, Hans‐Joachim, et al.. (2009). Combination of host susceptibility and Mycobacterium tuberculosis virulence define gene expression profile in the host. European Journal of Immunology. 39(12). 3369–3384. 20 indexed citations
13.
Jänner, Nathalie, Karin Hahnke, Hans‐Joachim Mollenkopf, et al.. (2008). Restricted expression of C‐type lectin‐like natural killer receptors by CD8 T cells in the murine small intestine. Immunology. 125(1). 38–47. 4 indexed citations
14.
Mollenkopf, Hans‐Joachim, Karin Hahnke, Robert Hurwitz, et al.. (2007). Natural killer T‐cell characterization through gene expression profiling: an account of versatility bridging T helper type 1 (Th1), Th2 and Th17 immune responses. Immunology. 123(1). 45–56. 34 indexed citations
15.
Hahnke, Karin, Marc Jacobsen, Joachim Gruen, et al.. (2006). Striptease on glass: Validation of an improved stripping procedure for in situ microarrays. Journal of Biotechnology. 128(1). 1–13. 6 indexed citations
16.
Kahnert, Antje, Peter Seiler, Maik Stein, et al.. (2006). Alternative activation deprives macrophages of a coordinated defense program to Mycobacterium tuberculosis. European Journal of Immunology. 36(3). 631–647. 141 indexed citations
17.
Mollenkopf, Hans‐Joachim, Karin Hahnke, & Stefan H. E. Kaufmann. (2005). Transcriptional responses in mouse lungs induced by vaccination with Mycobacterium bovis BCG and infection with Mycobacterium tuberculosis. Microbes and Infection. 8(1). 136–144. 24 indexed citations
18.
Herrmann, Heidrun, et al.. (1995). Localization and organization of phenol degradation genes ofPseudomonas putida strain H. Molecular and General Genetics MGG. 247(2). 240–246. 69 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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