Klaus Hornischer

26.7k total citations
10 papers, 301 citations indexed

About

Klaus Hornischer is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Klaus Hornischer has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Klaus Hornischer's work include Bacterial Genetics and Biotechnology (3 papers), Bacterial biofilms and quorum sensing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Klaus Hornischer is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Bacterial biofilms and quorum sensing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Klaus Hornischer collaborates with scholars based in Germany, Switzerland and Tunisia. Klaus Hornischer's co-authors include Susanne Häußler, Agata Bielecka‐Dąbrowa, Sebastian Schulz, Denitsa Eckweiler, Andreas Dötsch, Sebastian Bruchmann, Raimo Franke, Sarah Pohl, Monika Schniederjans and Ariane Khaledi and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Klaus Hornischer

10 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus Hornischer Germany 7 244 108 73 51 38 10 301
Hazel F. O’Connor United States 7 208 0.9× 116 1.1× 79 1.1× 42 0.8× 70 1.8× 9 324
Krishna Kurthkoti India 13 254 1.0× 68 0.6× 72 1.0× 45 0.9× 12 0.3× 19 507
Alain Casanova Switzerland 6 206 0.8× 73 0.7× 37 0.5× 40 0.8× 55 1.4× 8 288
Kang Wei Tan Singapore 9 137 0.6× 109 1.0× 38 0.5× 16 0.3× 37 1.0× 19 287
Saravuth Ngo France 10 262 1.1× 153 1.4× 26 0.4× 63 1.2× 40 1.1× 14 402
Noelia Salvador Spain 7 197 0.8× 93 0.9× 87 1.2× 107 2.1× 26 0.7× 10 366
Ana Toste Rêgo United Kingdom 9 273 1.1× 108 1.0× 35 0.5× 37 0.7× 61 1.6× 15 350
Ann Lövgren Sweden 12 357 1.5× 101 0.9× 18 0.2× 68 1.3× 14 0.4× 22 433
Farzad Jamshidi United States 6 231 0.9× 99 0.9× 44 0.6× 32 0.6× 25 0.7× 15 307
Kevin Zheng United States 4 158 0.6× 166 1.5× 75 1.0× 120 2.4× 73 1.9× 10 316

Countries citing papers authored by Klaus Hornischer

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Hornischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Hornischer

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

All Works

10 of 10 papers shown
1.
Jackson, David, Theodoros Soldatos, Klaus Hornischer, et al.. (2023). Whole patient knowledge modeling of COVID-19 symptomatology reveals common molecular mechanisms. SHILAP Revista de lepidopterología. 2. 1035290–1035290. 2 indexed citations
2.
Soldatos, Theodoros, David Jackson, Francesca Diella, et al.. (2022). The COVID-19 explorer—An integrated, whole patient knowledge model of COVID-19 disease. SHILAP Revista de lepidopterología. 2. 1035215–1035215. 3 indexed citations
3.
Hornischer, Klaus, Ariane Khaledi, Sarah Pohl, et al.. (2018). BACTOME—a reference database to explore the sequence- and gene expression-variation landscape ofPseudomonas aeruginosaclinical isolates. Nucleic Acids Research. 47(D1). D716–D720. 36 indexed citations
4.
Hornischer, Klaus & Susanne Häußler. (2016). Diagnostics and Resistance Profiling of Bacterial Pathogens. Current topics in microbiology and immunology. 398. 89–102. 8 indexed citations
5.
Dötsch, Andreas, Monika Schniederjans, Ariane Khaledi, et al.. (2015). The Pseudomonas aeruginosa Transcriptional Landscape Is Shaped by Environmental Heterogeneity and Genetic Variation. mBio. 6(4). e00749–e00749. 60 indexed citations
6.
Schulz, Sebastian, Denitsa Eckweiler, Agata Bielecka‐Dąbrowa, et al.. (2015). Elucidation of Sigma Factor-Associated Networks in Pseudomonas aeruginosa Reveals a Modular Architecture with Limited and Function-Specific Crosstalk. PLoS Pathogens. 11(3). e1004744–e1004744. 107 indexed citations
7.
Ghedira, Kaïs, et al.. (2010). Identification of key mechanisms controlling gene expression in Leishmania infected macrophages using genome-wide promoter analysis. Infection Genetics and Evolution. 11(4). 769–777. 2 indexed citations
8.
Nagel, Stefan, Michaela Scherr, Alexander Kel, et al.. (2007). Activation of TLX3 and NKX2-5 in t(5;14)(q35;q32) T-Cell Acute Lymphoblastic Leukemia by Remote 3′- BCL11B Enhancers and Coregulation by PU.1 and HMGA1. Cancer Research. 67(4). 1461–1471. 44 indexed citations
9.
Kel‐Margoulis, Olga, et al.. (2003). Composition-Sensitive Analysis of the Human Genome for Regulatory Signals. In Silico Biology. 3(1-2). 145–171. 28 indexed citations
10.
Hornischer, Klaus & Helmut Blöcker. (1996). Grafting of discontinuous sites: a protein modeling strategy. Protein Engineering Design and Selection. 9(11). 931–939. 11 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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