Kayleigh Arp

1.5k total citations · 3 hit papers
15 papers, 872 citations indexed

About

Kayleigh Arp is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kayleigh Arp has authored 15 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kayleigh Arp's work include Gut microbiota and health (8 papers), Respiratory viral infections research (7 papers) and Pneumonia and Respiratory Infections (5 papers). Kayleigh Arp is often cited by papers focused on Gut microbiota and health (8 papers), Respiratory viral infections research (7 papers) and Pneumonia and Respiratory Infections (5 papers). Kayleigh Arp collaborates with scholars based in Netherlands, United Kingdom and Switzerland. Kayleigh Arp's co-authors include Elisabeth A. M. Sanders, Debby Bogaert, Marlies A. van Houten, Mei Ling J. N. Chu, Marta Reyman, Rebecca L. Watson, Astrid A. T. M. Bosch, Wing Ho Man, Susana Fuentes and Debbie van Baarle and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Kayleigh Arp

15 papers receiving 863 citations

Hit Papers

Impact of delivery mode-associated gut microbiota dynamic... 2019 2026 2021 2023 2019 2022 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayleigh Arp Netherlands 11 483 282 162 144 120 15 872
Rebecca L. Watson United Kingdom 8 375 0.8× 211 0.7× 135 0.8× 107 0.7× 88 0.7× 8 800
Nelly Amenyogbe Canada 12 570 1.2× 152 0.5× 219 1.4× 268 1.9× 106 0.9× 28 1.2k
Sara Zabih United States 7 525 1.1× 267 0.9× 116 0.7× 358 2.5× 113 0.9× 9 910
Adrienne Rollie United States 6 613 1.3× 263 0.9× 145 0.9× 379 2.6× 120 1.0× 6 1.0k
Marta Reyman Netherlands 7 400 0.8× 125 0.4× 125 0.8× 135 0.9× 76 0.6× 8 667
William Schweizer United States 6 738 1.5× 156 0.6× 207 1.3× 218 1.5× 92 0.8× 9 1.1k
Angela Strang United Kingdom 3 468 1.0× 157 0.6× 177 1.1× 181 1.3× 78 0.7× 4 752
Zoya Grigoryan United States 9 481 1.0× 175 0.6× 206 1.3× 153 1.1× 56 0.5× 15 905
Carla R. Taddei Brazil 21 431 0.9× 204 0.7× 337 2.1× 228 1.6× 55 0.5× 52 1.2k
Anu‐Maaria Hämäläinen Finland 8 553 1.1× 114 0.4× 191 1.2× 154 1.1× 64 0.5× 11 884

Countries citing papers authored by Kayleigh Arp

Since Specialization
Citations

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

Fields of papers citing papers by Kayleigh Arp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayleigh Arp

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

All Works

15 of 15 papers shown
1.
Chu, Mei Ling J. N., Kayleigh Arp, Giske Biesbroek, et al.. (2025). Protocol for microbial profiling of low-biomass upper respiratory tract samples. STAR Protocols. 6(2). 103740–103740. 1 indexed citations
2.
Piters, Wouter A. A. de Steenhuijsen, Mei Ling J. N. Chu, Kayleigh Arp, et al.. (2024). Nasopharyngeal microbiota in children is associated with severe asthma exacerbations. Journal of Allergy and Clinical Immunology. 153(6). 1574–1585.e14. 8 indexed citations
3.
Piters, Wouter A. A. de Steenhuijsen, Mei Ling J. N. Chu, Kayleigh Arp, et al.. (2023). Mycoplasma pneumoniae carriage in children with recurrent respiratory tract infections is associated with a less diverse and altered microbiota. EBioMedicine. 98. 104868–104868. 21 indexed citations
4.
Bogaert, Debby, Emma M. de Koff, Lilian Koppensteiner, et al.. (2023). Mother-to-infant microbiota transmission and infant microbiota development across multiple body sites. Cell Host & Microbe. 31(3). 447–460.e6. 112 indexed citations breakdown →
5.
Piters, Wouter A. A. de Steenhuijsen, Rebecca L. Watson, Emma M. de Koff, et al.. (2022). Early-life viral infections are associated with disadvantageous immune and microbiota profiles and recurrent respiratory infections. Nature Microbiology. 7(2). 224–237. 47 indexed citations
6.
Reyman, Marta, Marlies A. van Houten, Rebecca L. Watson, et al.. (2022). Effects of early-life antibiotics on the developing infant gut microbiome and resistome: a randomized trial. Nature Communications. 13(1). 893–893. 185 indexed citations breakdown →
7.
Zuurbier, Roy, Debby Bogaert, Wouter A. A. de Steenhuijsen Piters, et al.. (2022). Asymptomatic Viral Presence in Early Life Precedes Recurrence of Respiratory Tract Infections. The Pediatric Infectious Disease Journal. 42(1). 59–65. 10 indexed citations
8.
Reyman, Marta, Mélanie Clerc, Marlies A. van Houten, et al.. (2021). Microbial community networks across body sites are associated with susceptibility to respiratory infections in infants. Communications Biology. 4(1). 1233–1233. 12 indexed citations
9.
Groot, Karin M. de Winter‐de, Gitte Berkers, Mei Ling J. N. Chu, et al.. (2021). Individual and Group Response of Treatment with Ivacaftor on Airway and Gut Microbiota in People with CF and a S1251N Mutation. Journal of Personalized Medicine. 11(5). 350–350. 14 indexed citations
10.
Man, Wing Ho, Nienke M. Scheltema, Mélanie Clerc, et al.. (2020). Infant respiratory syncytial virus prophylaxis and nasopharyngeal microbiota until 6 years of life: a subanalysis of the MAKI randomised controlled trial. The Lancet Respiratory Medicine. 8(10). 1022–1031. 22 indexed citations
11.
Reyman, Marta, Marlies A. van Houten, Debbie van Baarle, et al.. (2019). Impact of delivery mode-associated gut microbiota dynamics on health in the first year of life. Nature Communications. 10(1). 4997–4997. 289 indexed citations breakdown →
12.
Reyman, Marta, Marlies A. van Houten, Kayleigh Arp, Elisabeth A. M. Sanders, & Debby Bogaert. (2019). Rectal swabs are a reliable proxy for faecal samples in infant gut microbiota research based on 16S-rRNA sequencing. Scientific Reports. 9(1). 16072–16072. 31 indexed citations
13.
Piters, Wouter A. A. de Steenhuijsen, Simon P. Jochems, Elena Mitsi, et al.. (2019). Interaction between the nasal microbiota and S. pneumoniae in the context of live-attenuated influenza vaccine. Nature Communications. 10(1). 2981–2981. 55 indexed citations
14.
Man, Wing Ho, Nienke M. Scheltema, Marlies van Houten, et al.. (2019). Infant RSV prophylaxis, RSV infection, and nasopharyngeal microbiota at age six years. OA4939–OA4939. 2 indexed citations
15.
Wyllie, Anne L., Kayleigh Arp, Astrid A. T. M. Bosch, et al.. (2016). Molecular surveillance on Streptococcus pneumoniae carriage in non-elderly adults; little evidence for pneumococcal circulation independent from the reservoir in children. Scientific Reports. 6(1). 34888–34888. 63 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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