Daniela Jäckel

1.1k total citations
10 papers, 851 citations indexed

About

Daniela Jäckel is a scholar working on Food Science, Ecology and Endocrinology. According to data from OpenAlex, Daniela Jäckel has authored 10 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 6 papers in Ecology and 6 papers in Endocrinology. Recurrent topics in Daniela Jäckel's work include Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers) and Escherichia coli research studies (5 papers). Daniela Jäckel is often cited by papers focused on Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers) and Escherichia coli research studies (5 papers). Daniela Jäckel collaborates with scholars based in Germany, Switzerland and United States. Daniela Jäckel's co-authors include Michael Hensel, Roman G. Gerlach, Carolin Wagner, B. Brett Finlay, Olivia Steele‐Mortimer, Leigh A. Knodler, Bruce A. Vallance, Bärbel Stecher, Andrei N. Lupas and Wolf‐Dietrich Hardt and has published in prestigious journals such as Applied and Environmental Microbiology, Molecular Microbiology and Infection and Immunity.

In The Last Decade

Daniela Jäckel

10 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Jäckel Germany	10	465	442	260	246	212	10	851
Jörg Deiwick Germany	11	756 1.6×	730 1.7×	294 1.1×	224 0.9×	212 1.0×	15	1.1k
Kristin Ehrbar Switzerland	10	521 1.1×	529 1.2×	214 0.8×	243 1.0×	214 1.0×	11	936
Roy Curtiss United States	7	315 0.7×	303 0.7×	148 0.6×	205 0.8×	201 0.9×	7	734
Pui Cheng United States	10	472 1.0×	265 0.6×	234 0.9×	220 0.9×	102 0.5×	12	715
Stephen C. Darnell United States	14	231 0.5×	395 0.9×	189 0.7×	311 1.3×	211 1.0×	16	901
Andrea Friebel Germany	8	326 0.7×	332 0.8×	117 0.5×	197 0.8×	125 0.6×	8	727
Ruijin Yao United States	9	664 1.4×	306 0.7×	359 1.4×	344 1.4×	129 0.6×	12	1.1k
Jim Hackett Australia	16	316 0.7×	260 0.6×	257 1.0×	260 1.1×	223 1.1×	27	722
Ricardo Oropeza Mexico	13	243 0.5×	242 0.5×	144 0.6×	313 1.3×	294 1.4×	19	701
Imke Hansen-Wester Germany	7	498 1.1×	431 1.0×	170 0.7×	152 0.6×	114 0.5×	7	761

Countries citing papers authored by Daniela Jäckel

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Jäckel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Jäckel

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

All Works

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10 of 10 papers shown

Schlumberger, Markus C., et al.. (2009). Effect of the O-Antigen Length of Lipopolysaccharide on the Functions of Type III Secretion Systems in Salmonella enterica. Infection and Immunity. 77(12). 5458–5470. 71 indexed citations

Xiong, Guosheng, Mohamed I. Husseiny, Liping Song, et al.. (2009). Novel cancer vaccine based on genes of Salmonella pathogenicity island 2. International Journal of Cancer. 126(11). 2622–2634. 79 indexed citations

Gerlach, Roman G., et al.. (2009). Rapid Oligonucleotide-Based Recombineering of the Chromosome of Salmonella enterica. Applied and Environmental Microbiology. 75(6). 1575–1580. 35 indexed citations

Gerlach, Roman G., et al.. (2008). Cooperation ofSalmonellapathogenicity islands 1 and 4 is required to breach epithelial barriers. Cellular Microbiology. 10(11). 2364–2376. 103 indexed citations

Gerlach, Roman G., Daniela Jäckel, Bärbel Stecher, et al.. (2007). Salmonella Pathogenicity Island 4 encodes a giant non-fimbrial adhesin and the cognate type 1 secretion system. Cellular Microbiology. 9(7). 1834–1850. 134 indexed citations

Gerlach, Roman G., et al.. (2007). Rapid Engineering of Bacterial Reporter Gene Fusions by Using Red Recombination. Applied and Environmental Microbiology. 73(13). 4234–4242. 52 indexed citations

Gerlach, Roman G., et al.. (2007). Salmonella Pathogenicity Island 4-Mediated Adhesion Is Coregulated with Invasion Genes in Salmonella enterica. Infection and Immunity. 75(10). 4697–4709. 65 indexed citations

Jäckel, Daniela, et al.. (2006). Regulation of Salmonella pathogenicity island 2 genes by independent environmental signals. International Journal of Medical Microbiology. 296(7). 435–447. 92 indexed citations

Jäckel, Daniela, et al.. (2004). Effector Proteins Encoded by Salmonella Pathogenicity Island 2 Interfere with the Microtubule Cytoskeleton after Translocation into Host Cells. Traffic. 5(5). 356–370. 83 indexed citations

10.

Knodler, Leigh A., Bruce A. Vallance, Michael Hensel, et al.. (2003). Salmonella type III effectors PipB and PipB2 are targeted to detergent‐resistant microdomains on internal host cell membranes. Molecular Microbiology. 49(3). 685–704. 137 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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