Lone Dons

1.1k total citations
17 papers, 874 citations indexed

About

Lone Dons is a scholar working on Biotechnology, Food Science and Molecular Biology. According to data from OpenAlex, Lone Dons has authored 17 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biotechnology, 8 papers in Food Science and 3 papers in Molecular Biology. Recurrent topics in Lone Dons's work include Listeria monocytogenes in Food Safety (13 papers), Microbial Inactivation Methods (8 papers) and Essential Oils and Antimicrobial Activity (7 papers). Lone Dons is often cited by papers focused on Listeria monocytogenes in Food Safety (13 papers), Microbial Inactivation Methods (8 papers) and Essential Oils and Antimicrobial Activity (7 papers). Lone Dons collaborates with scholars based in United Kingdom, Sweden and Denmark. Lone Dons's co-authors include John Elmerdahl Olsen, O. F. Rasmussen, Krister Kristensson, Martı́n E. Rottenberg, L. Rossen, Yuxuan Jin, Pernille Skouboe, Lars Jensen, Ronald N. Jones and Peter Ahrens and has published in prestigious journals such as Journal of Clinical Microbiology, Molecular Microbiology and Infection and Immunity.

In The Last Decade

Lone Dons

17 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lone Dons United Kingdom	16	507	394	257	168	94	17	874
M. F. Vicente Spain	12	686 1.4×	501 1.3×	329 1.3×	106 0.6×	137 1.5×	19	1.1k
O. F. Rasmussen Denmark	18	389 0.8×	436 1.1×	372 1.4×	93 0.6×	141 1.5×	27	985
SHIGEKO UEDA Japan	12	181 0.4×	207 0.5×	319 1.2×	279 1.7×	69 0.7×	36	637
Reginald W. Bennett United States	18	362 0.7×	432 1.1×	470 1.8×	386 2.3×	85 0.9×	41	1.2k
S. Notermans Netherlands	19	760 1.5×	792 2.0×	374 1.5×	224 1.3×	118 1.3×	30	1.4k
Lavin A. Joseph United States	15	310 0.6×	530 1.3×	177 0.7×	142 0.8×	221 2.4×	21	889
G. Suárez Spain	17	249 0.5×	238 0.6×	179 0.7×	230 1.4×	36 0.4×	62	821
David Sue United States	14	507 1.0×	377 1.0×	461 1.8×	59 0.4×	49 0.5×	30	1.1k
Rieck Petra Austria	5	159 0.3×	195 0.5×	342 1.3×	159 0.9×	80 0.9×	6	564
Arthur Pightling United States	12	241 0.5×	319 0.8×	294 1.1×	41 0.2×	109 1.2×	28	701

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-authorship network of co-authors of Lone Dons

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

All Works

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17 of 17 papers shown

Hansen, Thomas Arn, Mette Damkjær Bartels, Lone Dons, et al.. (2017). Whole Genome Sequencing of Danish Staphylococcus argenteus Reveals a Genetically Diverse Collection with Clear Separation from Staphylococcus aureus. Frontiers in Microbiology. 8. 1512–1512. 36 indexed citations

Dons, Lone, et al.. (2013). Role of theListeria monocytogenes2-Cys peroxiredoxin homologue in protection against oxidative and nitrosative stress and in virulence. Pathogens and Disease. 70(1). 70–74. 24 indexed citations

Fieseler, Lars, et al.. (2012). A canthamoeba feature a unique backpacking strategy to trap and feed on L isteria monocytogenes and other motile bacteria. Environmental Microbiology. 15(2). 433–446. 25 indexed citations

Dons, Lone, Yuxuan Jin, Krister Kristensson, & Martı́n E. Rottenberg. (2007). Axonal transport of Listeria monocytogenes and nerve‐cell‐induced bacterial killing. Journal of Neuroscience Research. 85(12). 2529–2537. 24 indexed citations

Knudsen, Gitte M., John Elmerdahl Olsen, & Lone Dons. (2004). Characterization of DegU, a response regulator inListeria monocytogenes, involved in regulation of motility and contributes to virulence. FEMS Microbiology Letters. 240(2). 171–179. 59 indexed citations

Lundkvist, Gabriella B., et al.. (2004). Interferon‐γ Mediates Neuronal Killing of Intracellular Bacteria. Scandinavian Journal of Immunology. 60(5). 437–448. 24 indexed citations

Dons, Lone, Emma Eriksson, Yuxuan Jin, et al.. (2004). Role of Flagellin and the Two-Component CheA/CheY System of Listeria monocytogenes in Host Cell Invasion and Virulence. Infection and Immunity. 72(6). 3237–3244. 119 indexed citations

Eriksson, Emma, Lone Dons, Antonio Gigliotti Rothfuchs, et al.. (2003). CD44-Regulated Intracellular Proliferation ofListeria monocytogenes. Infection and Immunity. 71(7). 4102–4111. 13 indexed citations

Jin, Yuxuan, Lone Dons, Krister Kristensson, & Martı́n E. Rottenberg. (2002). Colony-Stimulating Factor 1-Dependent Cells Protect against Systemic Infection with Listeria monocytogenes but Facilitate Neuroinvasion. Infection and Immunity. 70(8). 4682–4686. 20 indexed citations

10.

Jin, Yuxuan, Lone Dons, Krister Kristensson, & Martı́n E. Rottenberg. (2001). Neural Route of CerebralListeria monocytogenesMurine Infection: Role of Immune Response Mechanisms in Controling Bacterial Neuroinvasion. Infection and Immunity. 69(2). 1093–1100. 45 indexed citations

11.

Dons, Lone, et al.. (1999). Rat dorsal root ganglia neurons as a model for Listeria monocytogenes infections in culture. Medical Microbiology and Immunology. 188(1). 15–21. 17 indexed citations

12.

Flanary, Paul L., Richard D. Allen, Lone Dons, & Sophia Kathariou. (1999). Insertional inactivation of theListeria monocytogenescheYA operon abolishes response to oxygen gradients and reduces the number of flagella. Canadian Journal of Microbiology. 45(8). 646–652. 17 indexed citations

13.

Jensen, Lars, Peter Ahrens, Lone Dons, et al.. (1998). Molecular Analysis of Tn 1546 in Enterococcus faecium Isolated from Animals and Humans. Journal of Clinical Microbiology. 36(2). 437–442. 138 indexed citations

14.

Rasmussen, O. F., Pernille Skouboe, Lone Dons, L. Rossen, & John Elmerdahl Olsen. (1995). Listeria monocytogenes exists in at least three evolutionary lines: evidence from flagellin, invasive associated protein and listeriolysin O genes. Microbiology. 141(9). 2053–2061. 159 indexed citations

15.

Dons, Lone, John Elmerdahl Olsen, & O. F. Rasmussen. (1994). Characterization of two putativeListeria monocytogenesgenes encoding polypeptides homologous to the sensor protein CheA and the response regulator CheY of chemotaxis. DNA sequence. 4(5). 301–311. 24 indexed citations

16.

Dons, Lone, O. F. Rasmussen, & John Elmerdahl Olsen. (1992). Cloning and characterization of a gene encoding flagellin of Listeria monocytogenes. Molecular Microbiology. 6(20). 2919–2929. 71 indexed citations

17.

Rasmussen, O. F., Thomas Beck, John Elmerdahl Olsen, Lone Dons, & L. Rossen. (1991). Listeria monocytogenes isolates can be classified into two major types according to the sequence of the listeriolysin gene. Infection and Immunity. 59(11). 3945–3951. 59 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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