Daniela Jäckel

1.1k citations
10 papers · 851 · h-index 10

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
    • Salmonella and Campylobacter epidemiology

Papers in

    • Salmonella and Campylobacter epidemiology 7
    • Bacteriophages and microbial interactions 6

Daniela Jäckel

10 papers receiving 847 citations

Peers

Daniela Jäckel
Comparison fields: 5 of 55
  • Endocrinology 442
  • Food Science 465
  • Biotechnology 108
  • Ecology 260
  • Molecular Medicine 46
Replace Kristin Ehrbar with:
Kristin Ehrbar Switzerland
Imke Hansen-Wester Germany
Jörg Deiwick Germany
Andrea D. Humphries United States
Frances Bowe United Kingdom
Stephen C. Darnell United States
Susanne Mirold Germany
Pui Cheng United States
Jim Hackett Australia
Roy Curtiss United States
Daniela Jäckel relative to Kristin Ehrbar Switzerland Kristin Ehrbar's profile →
Citations per field
00.5×1.5×2.2×
Kristin Ehrbar · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Daniela Jäckel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Jäckel Line = papers co-authored together Daniela Jäckel links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003137
2 2007134
3 2008103
4 200692
5 200483
6 200979
7 200971
8 200765
9 200752
10 200935

About Daniela Jäckel

Daniela Jäckel is a scholar working on Food Science, Ecology, Endocrinology, Genetics and Molecular Biology, having authored 10 papers that have together received 851 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers), Escherichia coli research studies (5 papers), Vibrio bacteria research studies (3 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Research and Treatments (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Endocrinology (442 citations), Food Science (465 citations), Biotechnology (108 citations), Ecology (260 citations) and Molecular Medicine (46 citations). Daniela Jäckel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Hensel, Roman G. Gerlach, Carolin Wagner, Olivia Steele‐Mortimer, Bruce A. Vallance, Leigh A. Knodler, B. Brett Finlay, Andrei N. Lupas, Wolf‐Dietrich Hardt and Bärbel Stecher. Their work appears in journals such as Cellular Microbiology, Infection and Immunity, Applied and Environmental Microbiology, Molecular Microbiology and Traffic.

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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