Kristoffer Kiil

1.4k total citations
22 papers, 816 citations indexed

About

Kristoffer Kiil is a scholar working on Food Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Kristoffer Kiil has authored 22 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Food Science, 8 papers in Molecular Biology and 7 papers in Endocrinology. Recurrent topics in Kristoffer Kiil's work include Salmonella and Campylobacter epidemiology (10 papers), Escherichia coli research studies (6 papers) and Genomics and Phylogenetic Studies (5 papers). Kristoffer Kiil is often cited by papers focused on Salmonella and Campylobacter epidemiology (10 papers), Escherichia coli research studies (6 papers) and Genomics and Phylogenetic Studies (5 papers). Kristoffer Kiil collaborates with scholars based in Denmark, United States and France. Kristoffer Kiil's co-authors include Eva Møller Nielsen, Jonas T. Björkman, David W. Ussery, Mia Torpdahl, Steen Ethelberg, Eva Litrup, Anne K. Jensen, Anette M. Hammerum, Marc Stegger and Gitte Sørensen and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Kristoffer Kiil

22 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristoffer Kiil Denmark 17 447 288 212 171 170 22 816
Anaïs Painset United Kingdom 15 613 1.4× 327 1.1× 192 0.9× 134 0.8× 236 1.4× 32 853
Scott V. Nguyen United States 15 191 0.4× 154 0.5× 156 0.7× 100 0.6× 158 0.9× 42 669
Eva Litrup Denmark 15 583 1.3× 124 0.4× 193 0.9× 258 1.5× 271 1.6× 23 787
Xiaolu Shi China 16 347 0.8× 94 0.3× 200 0.9× 162 0.9× 287 1.7× 66 796
Lucas M. Wijnands Netherlands 17 276 0.6× 254 0.9× 343 1.6× 68 0.4× 93 0.5× 31 768
Eva Trost Germany 15 244 0.5× 123 0.4× 263 1.2× 83 0.5× 314 1.8× 23 750
Franco Pagotto Canada 16 305 0.7× 276 1.0× 226 1.1× 47 0.3× 378 2.2× 28 986
Peter Kruczkiewicz Canada 10 573 1.3× 95 0.3× 213 1.0× 164 1.0× 270 1.6× 16 732
Susanna Lukinmaa Finland 14 456 1.0× 271 0.9× 123 0.6× 63 0.4× 218 1.3× 18 667
Shizhong Geng China 19 548 1.2× 103 0.4× 209 1.0× 107 0.6× 199 1.2× 65 872

Countries citing papers authored by Kristoffer Kiil

Since Specialization
Citations

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

Fields of papers citing papers by Kristoffer Kiil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristoffer Kiil

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

All Works

20 of 20 papers shown
1.
Nielsen, Karen Leth, Marc Stegger, Kristoffer Kiil, et al.. (2021). Escherichia coli Causing Recurrent Urinary Tract Infections: Comparison to Non-Recurrent Isolates and Genomic Adaptation in Recurrent Infections. Microorganisms. 9(7). 1416–1416. 16 indexed citations
2.
Kiil, Kristoffer, et al.. (2021). Dogs are carriers of Clostridioides difficile lineages associated with human community-acquired infections. Anaerobe. 67. 102317–102317. 21 indexed citations
3.
Broeck, Wim Van Den, Kristoffer Kiil, Arshnee Moodley, et al.. (2020). New insights into the biodiversity of coliphages in the intestine of poultry. Scientific Reports. 10(1). 15220–15220. 12 indexed citations
4.
Joensen, Katrine, et al.. (2020). Prediction of antimicrobial resistance in clinical Campylobacter jejuni isolates from whole-genome sequencing data. European Journal of Clinical Microbiology & Infectious Diseases. 40(4). 673–682. 28 indexed citations
5.
Kiil, Kristoffer, Mia Torpdahl, Mark T. Østerlund, et al.. (2019). WGS based study of the population structure of Salmonella enterica serovar Infantis. BMC Genomics. 20(1). 870–870. 51 indexed citations
6.
Stegger, Marc, Eglė Kudirkienė, Berit Lilje, et al.. (2019). Diversity and Population Overlap between Avian and Human Escherichia coli Belonging to Sequence Type 95. mSphere. 4(1). 65 indexed citations
7.
Kiil, Kristoffer, Christoffer Bugge Harder, Mathilde H. Josefsen, et al.. (2017). Towards diagnostic metagenomics of Campylobacter in fecal samples. BMC Microbiology. 17(1). 133–133. 10 indexed citations
8.
9.
Nielsen, Karen Leth, Marc Stegger, Kristoffer Kiil, et al.. (2017). Whole-genome comparison of urinary pathogenic Escherichia coli and faecal isolates of UTI patients and healthy controls. International Journal of Medical Microbiology. 307(8). 497–507. 46 indexed citations
10.
Litrup, Eva, Kristoffer Kiil, Anette M. Hammerum, et al.. (2017). Plasmid-borne colistin resistance gene mcr-3 in Salmonella isolates from human infections, Denmark, 2009–17. Eurosurveillance. 22(31). 68 indexed citations
11.
Kiil, Kristoffer, et al.. (2017). Gene-Based Pathogen Detection: Can We Use qPCR to Predict the Outcome of Diagnostic Metagenomics?. Genes. 8(11). 332–332. 10 indexed citations
12.
Jensen, Anne K., Jonas T. Björkman, Steen Ethelberg, et al.. (2016). Molecular Typing and Epidemiology of Human Listeriosis Cases, Denmark, 2002–20121. Emerging infectious diseases. 22(4). 625–633. 60 indexed citations
13.
Jensen, Anne K., Eva Møller Nielsen, Jonas T. Björkman, et al.. (2016). Whole-genome Sequencing Used to Investigate a Nationwide Outbreak of Listeriosis Caused by Ready-to-eat Delicatessen Meat, Denmark, 2014. Clinical Infectious Diseases. 63(1). 64–70. 86 indexed citations
14.
Stegger, Marc, Maliha Aziz, Lance B. Price, et al.. (2013). Genome Analysis of Staphylococcus aureus ST291, a Double Locus Variant of ST398, Reveals a Distinct Genetic Lineage. PLoS ONE. 8(5). e63008–e63008. 18 indexed citations
15.
Ussery, David W., Kristoffer Kiil, Karin Lagesen, et al.. (2009). The Genus <i>Burkholderia</i>: Analysis of 56 Genomic Sequences. PubMed. 6. 140–157. 48 indexed citations
16.
Lavín, José Luis, et al.. (2007). Comparative genomic analysis of two-component regulatory proteins in Pseudomonas syringae. BMC Genomics. 8(1). 397–397. 29 indexed citations
17.
Willenbrock, Hanni, et al.. (2006). Design of a Seven-GenomeEscherichia coliMicroarray for Comparative Genomic Profiling. Journal of Bacteriology. 188(22). 7713–7721. 21 indexed citations
18.
Binnewies, Tim T., et al.. (2006). Genome update: purine strand bias in 280 bacterial genomes. Microbiology. 152(3). 579–583. 1 indexed citations
19.
Kiil, Kristoffer, et al.. (2005). Genome update: distribution of two-component transduction systems in 250 bacterial genomes. Microbiology. 151(11). 3447–3452. 24 indexed citations
20.
Oguiza, José A., Kristoffer Kiil, & David W. Ussery. (2005). Extracytoplasmic function sigma factors in Pseudomonas syringae. Trends in Microbiology. 13(12). 565–568. 17 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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