Anne‐Louise Ponsonby

23.6k total citations · 2 hit papers
400 papers, 16.1k citations indexed

About

Anne‐Louise Ponsonby is a scholar working on Pathology and Forensic Medicine, Physiology and Immunology and Allergy. According to data from OpenAlex, Anne‐Louise Ponsonby has authored 400 papers receiving a total of 16.1k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Pathology and Forensic Medicine, 85 papers in Physiology and 74 papers in Immunology and Allergy. Recurrent topics in Anne‐Louise Ponsonby's work include Multiple Sclerosis Research Studies (72 papers), Food Allergy and Anaphylaxis Research (62 papers) and Asthma and respiratory diseases (57 papers). Anne‐Louise Ponsonby is often cited by papers focused on Multiple Sclerosis Research Studies (72 papers), Food Allergy and Anaphylaxis Research (62 papers) and Asthma and respiratory diseases (57 papers). Anne‐Louise Ponsonby collaborates with scholars based in Australia, United Kingdom and United States. Anne‐Louise Ponsonby's co-authors include Terence Dwyer, Ingrid van der Mei, Robyn Lucas, Bruce Taylor, Mimi L.K. Tang, Katrina J. Allen, Leigh Blizzard, Jennifer J. Koplin, Shyamali C. Dharmage and Lyle C. Gurrin and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Anne‐Louise Ponsonby

393 papers receiving 15.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prevalence of challenge-proven IgE-mediated food allergy using population-based sampling and predetermined challenge criteria in infants

2011 739 citations Jennifer J. Koplin, Lyle C. Gurrin et al. Journal of Allergy and Clinical Immunology profile →
Administration of a probiotic with peanut oral immunotherapy: A randomized trial

2015 331 citations Mimi L.K. Tang, Anne‐Louise Ponsonby et al. Journal of Allergy and Clinical Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne‐Louise Ponsonby Australia	66	4.9k	4.0k	3.2k	2.0k	1.9k	400	16.1k
Allan Linneberg Denmark	63	1.4k 0.3×	3.7k 0.9×	4.2k 1.3×	1.1k 0.5×	1.2k 0.7×	453	15.6k
Kirsten Ohm Kyvik Denmark	72	2.1k 0.4×	648 0.2×	3.0k 0.9×	1.2k 0.6×	1.5k 0.8×	321	16.3k
Terence Dwyer Australia	74	3.4k 0.7×	640 0.2×	4.5k 1.4×	1.4k 0.7×	1.1k 0.6×	465	20.1k
Juan C. Celedón United States	62	973 0.2×	1.4k 0.4×	6.7k 2.1×	1.4k 0.7×	672 0.4×	300	11.9k
Torsten Zuberbier Germany	66	3.6k 0.7×	7.6k 1.9×	5.2k 1.6×	3.4k 1.7×	784 0.4×	461	16.8k
Paul Mulder Netherlands	74	662 0.1×	1.4k 0.3×	3.4k 1.0×	1.1k 0.5×	3.3k 1.8×	548	21.6k
Hannu Kautiainen Finland	70	2.5k 0.5×	340 0.1×	2.4k 0.7×	1.2k 0.6×	4.3k 2.3×	913	22.1k
Maurizio Cutolo Italy	80	7.8k 1.6×	480 0.1×	1.8k 0.6×	5.4k 2.7×	2.2k 1.2×	613	22.9k
Matthias Augustin Germany	62	1.2k 0.2×	2.4k 0.6×	1.9k 0.6×	7.9k 3.9×	1.9k 1.0×	821	17.5k
Matthias Wjst Germany	53	933 0.2×	2.1k 0.5×	4.8k 1.5×	856 0.4×	414 0.2×	157	8.7k

Countries citing papers authored by Anne‐Louise Ponsonby

Since Specialization

Citations

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

Fields of papers citing papers by Anne‐Louise Ponsonby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Louise Ponsonby. 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 Anne‐Louise Ponsonby. The network helps show where Anne‐Louise Ponsonby may publish in the future.

Co-authorship network of co-authors of Anne‐Louise Ponsonby

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

All Works

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20 of 20 papers shown

Pittet, Laure F., Emily K. Forbes, Susan Donath, et al.. (2025). Neonatal BCG vaccination to prevent asthma: Results from the MIS BAIR randomized controlled trial. Pediatric Allergy and Immunology. 36(6). e70110–e70110. 1 indexed citations

Gogos, Andrea, Sarah Thomson, Martin O’Hely, et al.. (2024). Socioeconomic adversity, maternal nutrition, and the prenatal programming of offspring cognition and language at two years of age through maternal inflammation. Brain Behavior and Immunity. 122. 471–482. 4 indexed citations

Bekkering, Siroon, Christoph Saner, Boris Novakovic, et al.. (2024). Increased innate immune responses in adolescents with obesity and its relation to subclinical cardiovascular measures: An exploratory study. iScience. 27(5). 109762–109762. 1 indexed citations

Binder, Michele D., Vivien Li, Alexandre Xavier, et al.. (2023). HLA-DRB1*15:01 and the MERTK Gene Interact to Selectively Influence the Profile of MERTK-Expressing Monocytes in Both Health and MS. Neurology Neuroimmunology & Neuroinflammation. 11(2). e200190–e200190. 3 indexed citations

Lin, Xin, Yuanhao Yang, Xianyong Yin, et al.. (2023). Genetically determined serum serine level has a novel causal effect on multiple sclerosis risk and predicts disability progression. Journal of Neurology Neurosurgery & Psychiatry. 94(7). 526–531. 2 indexed citations

Ponsonby, Anne‐Louise, Fiona Collier, Martin O’Hely, et al.. (2022). Household size, T regulatory cell development, and early allergic disease: a birth cohort study. Pediatric Allergy and Immunology. 33(6). e13810–e13810. 7 indexed citations

Mansell, Toby, Richard Saffery, Anne‐Louise Ponsonby, et al.. (2022). Early life infection and proinflammatory, atherogenic metabolomic and lipidomic profiles in infancy: a population-based cohort study. eLife. 11. 13 indexed citations

Dang, Thanh, Rachel L. Peters, Melanie R. Neeland, et al.. (2021). Ana o 3 sIgE testing increases the accuracy of cashew allergy diagnosis using a two‐step model. Pediatric Allergy and Immunology. 33(1). e13705–e13705. 10 indexed citations

Thorsen, Steffen Ullitz, Fiona Collier, Angela Pezic, et al.. (2021). Maternal and Cord Blood 25-Hydroxyvitamin D3 Are Associated with Increased Cord Blood and Naive and Activated Regulatory T Cells: The Barwon Infant Study. The Journal of Immunology. 206(4). 874–882. 8 indexed citations

10.

Dawson, Samantha L., Martin O’Hely, Felice N. Jacka, et al.. (2021). Maternal prenatal gut microbiota composition predicts child behaviour. EBioMedicine. 68. 103400–103400. 65 indexed citations

11.

Ponsonby, Anne‐Louise. (2020). Reflection on modern methods: building causal evidence within high-dimensional molecular epidemiological studies of moderate size. International Journal of Epidemiology. 50(3). 1016–1029. 14 indexed citations

12.

McWilliam, Vicki, Shyamali C. Dharmage, Anne‐Louise Ponsonby, et al.. (2019). Skin prick test predictive values for the outcome of cashew challenges in children. Allergy. 74. 1 indexed citations

13.

Vuillermin, Peter, et al.. (2019). A child with Klinefelter syndrome and both IgE‐mediated food allergy and low proportion of naive Treg. Clinical Case Reports. 7(2). 302–303. 3 indexed citations

14.

Zhou, Yuan, Steve Simpson, Jac Charlesworth, et al.. (2017). Variation within MBP gene predicts disease course in multiple sclerosis. Brain and Behavior. 7(4). e00670–e00670. 25 indexed citations

15.

Suaini, Noor H. A., Mary Panjari, David Martino, et al.. (2014). Polymorphisms affecting vitamin D binding protein levels may modify the relationship between serum 25-hydroxyvitamin D and allergic disease. Allergy. 69. 105–105. 1 indexed citations

16.

Allen, Katrina J., Jennifer J. Koplin, Anne‐Louise Ponsonby, Peter Vuillermin, & Shyamali C. Dharmage. (2013). Vitamin D and food allergy in patients with severe atopic dermatitis Reply. Journal of Allergy and Clinical Immunology. 132(4). 1 indexed citations

17.

Simon, KG, Ingrid van der Mei, Anne‐Louise Ponsonby, et al.. (2010). Combined effects of smoking, anti-EBNA antibodies, and HLA-DRB1*1501 on multiple sclerosis risk. Neurology. 74(17). 1365–1371. 103 indexed citations

18.

Kemp, Andrew S., Anne‐Louise Ponsonby, T Dwyer, et al.. (2010). Maternal antenatal peanut consumption and peanut and rye sensitization in the offspring at adolescence. Clinical & Experimental Allergy. 41(2). 224–231. 15 indexed citations

19.

Tremlett, Helen, Ingrid van der Mei, Fotini Pittas, et al.. (2008). Monthly ambient sunlight, vitamin D, infections and relapse rates in multiple sclerosis. eCite Digital Repository (University of Tasmania). 1 indexed citations

20.

Jones, Graeme, Anne‐Louise Ponsonby, Bruce A. Smith, & Allan Carmichael. (2000). Asthma, Inhaled Corticosteroid Use, and Bone Mass in Prepubertal Children. Journal of Asthma. 37(7). 603–611. 18 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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