Lone E. Dons

1.1k citations
18 papers · 943 · h-index 16

Impact in

    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods
    • Essential Oils and Antimicrobial Activity
    • Salmonella and Campylobacter epidemiology

Papers in

    • Listeria monocytogenes in Food Safety 14
    • Microbial Inactivation Methods 8
    • Essential Oils and Antimicrobial Activity 7

Lone E. Dons

18 papers receiving 886 citations

Peers

Lone E. Dons
Comparison fields: 5 of 77
  • Biotechnology 531
  • Food Science 402
  • Endocrinology 104
  • Clinical Biochemistry 74
  • Infectious Diseases 185
Replace O. F. Rasmussen with:
O. F. Rasmussen Denmark
S. Notermans Netherlands
M. F. Vicente Spain
James L. Bruce United States
SHIGEKO UEDA Japan
J Kreft Germany
Gabriel de Oliveira Suarez Spain
Hans Lindmark Sweden
Mark J. Kazmierczak United States
David Sue United States
Lone E. Dons relative to O. F. Rasmussen Denmark O. F. Rasmussen's profile →
Citations per field
00.5×2×3.4×
O. F. Rasmussen · 1×
Citations per year

Countries citing papers authored by Lone E. Dons

Since Specialization
Citations

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

Fields of papers citing papers by Lone E. Dons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lone E. Dons. 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 Lone E. Dons. The network helps show where Lone E. Dons may publish in the future.

Co-authors

The 25 scholars most cited alongside Lone E. Dons, 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 Lone E. Dons Line = papers co-authored together Lone E. Dons links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1995174
2 1998156
3 2004124
4 199278
5 199163
6 200462
7 200150
8 201738
9 200727
10 201227
11 200425
12 201324
13 199424
14 200221
15 199920
16 199917
17 200312
18 19991

About Lone E. Dons

Lone E. Dons is a scholar working on Biotechnology, Food Science, Endocrinology, Neurology and Infectious Diseases, having authored 18 papers that have together received 943 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (14 papers), Microbial Inactivation Methods (8 papers), Essential Oils and Antimicrobial Activity (7 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Vibrio bacteria research studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune Response and Inflammation (2 papers) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Biotechnology (531 citations), Food Science (402 citations), Endocrinology (104 citations), Clinical Biochemistry (74 citations) and Infectious Diseases (185 citations). Lone E. Dons has collaborated with scholars based in United Kingdom, Sweden and Denmark. Frequent co-authors include John Elmerdahl Olsen, O. F. Rasmussen, Krister Kristensson, Martı́n E. Rottenberg, Lone Rossen, Yuxuan Jin, Pernille Skouboe, Ronald N. Jones, Peter Ahrens and Anette Marie Hammerum. Their work appears in journals such as Infection and Immunity, Canadian Journal of Microbiology, Molecular Microbiology, Journal of Clinical Microbiology and Environmental Microbiology.

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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