Lone Dons

1.1k citations
17 papers · 874 · 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 13
    • Microbial Inactivation Methods 8
    • Essential Oils and Antimicrobial Activity 7

Lone Dons

17 papers receiving 835 citations

Peers

Lone Dons
Comparison fields: 5 of 76
  • Biotechnology 507
  • Food Science 394
  • Endocrinology 94
  • Clinical Biochemistry 65
  • Infectious Diseases 168
Replace O. F. Rasmussen with:
O. F. Rasmussen Denmark
M. F. Vicente Spain
S. Notermans Netherlands
Reginald W. Bennett United States
James L. Bruce United States
SHIGEKO UEDA Japan
G. Suárez Spain
David Sue United States
Arthur Pightling United States
Toril Lindbäck Norway
Lone Dons relative to O. F. Rasmussen Denmark O. F. Rasmussen's profile →
Citations per field
00.5×3.4×
O. F. Rasmussen · 1×
Citations per year

Countries citing papers authored by Lone Dons

Since Specialization
Citations

This map shows the geographic impact of Lone 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 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 Dons more than expected).

Fields of papers citing papers by Lone Dons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1995159
2 1998138
3 2004119
4 199271
5 200459
6 199159
7 200145
8 201736
9 201225
10 200724
11 199424
12 200424
13 201324
14 200220
15 199917
16 199917
17 200313

About Lone Dons

Lone Dons is a scholar working on Biotechnology, Food Science, Molecular Biology, Endocrinology and Infectious Diseases, having authored 17 papers that have together received 874 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (13 papers), Microbial Inactivation Methods (8 papers), Essential Oils and Antimicrobial Activity (7 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune Response and Inflammation (2 papers), Vibrio bacteria research studies (2 papers) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Biotechnology (507 citations), Food Science (394 citations), Endocrinology (94 citations), Clinical Biochemistry (65 citations) and Infectious Diseases (168 citations). Lone 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, L. Rossen, Yuxuan Jin, Pernille Skouboe, Peter Ahrens, Ronald N. Jones and Anette M. Hammerum. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, Scandinavian Journal of Immunology, Microbiology and Canadian Journal of 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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