Fiona Wee

438 total citations
8 papers, 146 citations indexed

About

Fiona Wee is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fiona Wee has authored 8 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fiona Wee's work include Quantum optics and atomic interactions (1 paper), Maternal and fetal healthcare (1 paper) and Aortic Disease and Treatment Approaches (1 paper). Fiona Wee is often cited by papers focused on Quantum optics and atomic interactions (1 paper), Maternal and fetal healthcare (1 paper) and Aortic Disease and Treatment Approaches (1 paper). Fiona Wee collaborates with scholars based in United Kingdom, Australia and Malaysia. Fiona Wee's co-authors include Kathleen Boyd, Emma McIntosh, Steve Cunningham, Huw Thomas, Steve Turner, Morag MacLean, Aryelly Rodríguez, James Y. Paton, Chris Williams and Steff Lewis and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Human Brain Mapping.

In The Last Decade

Fiona Wee

8 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fiona Wee United Kingdom	5	72	71	26	21	15	8	146
Iemke Sarrechia Belgium	6	82 1.1×	53 0.7×	8 0.3×	40 1.9×	6 0.4×	11	125
Jaya Bodani Canada	7	66 0.9×	84 1.2×	20 0.8×	45 2.1×		15	173
Francesca Campi Italy	9	44 0.6×	68 1.0×	11 0.4×	100 4.8×	3 0.2×	33	223
Margaret L. Hill United States	5	22 0.3×	28 0.4×	12 0.5×	23 1.1×	13 0.9×	8	159
Silvio Torres Argentina	7	14 0.2×	58 0.8×	14 0.5×	15 0.7×	43 2.9×	20	152
Melissa Lai Australia	7	18 0.3×	72 1.0×	19 0.7×	153 7.3×	3 0.2×	20	206
L.A. Papile United States	7	34 0.5×	82 1.2×	8 0.3×	121 5.8×	10 0.7×	50	188
K. Taylor Wild United States	7	43 0.6×	105 1.5×	27 1.0×	81 3.9×	19 1.3×	32	257
Peter Wong United States	7	94 1.3×	16 0.2×	6 0.2×	16 0.8×	6 0.4×	17	234
Brian Stamm United States	6	37 0.5×	16 0.2×	10 0.4×	7 0.3×	5 0.3×	22	126

Countries citing papers authored by Fiona Wee

Since Specialization

Citations

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

Fields of papers citing papers by Fiona Wee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Wee

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

All Works

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8 of 8 papers shown

Sihvonen, Aleksi J., Fiona Wee, Kate O’Brien, et al.. (2024). The volume and the distribution of premorbid white matter hyperintensities: Impact on post‐stroke aphasia. Human Brain Mapping. 45(1). e26568–e26568. 3 indexed citations

Wee, Fiona, et al.. (2023). Measurement of hyperfine constants and the isotope shift of rubidium 5P_1/2 excited-state using saturated absorption spectroscopy. Physica Scripta. 98(4). 45412–45412. 2 indexed citations

Widyasari, Ratnadira, Zhou Yang, Ferdian Thung, et al.. (2023). NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. 62–66. 6 indexed citations

Stock, Sarah J., A. Bhide, Heather Richardson, et al.. (2021). Cervical ripening at home or in-hospital—prospective cohort study and process evaluation (CHOICE) study: a protocol. BMJ Open. 11(5). e050452–e050452. 11 indexed citations

Gillespie, David, Mark Barber, Marian Brady, et al.. (2020). Study protocol for POSITIF, a randomised multicentre feasibility trial of a brief cognitive-behavioural intervention plus information versus information alone for the treatment of post-stroke fatigue. Pilot and Feasibility Studies. 6(1). 84–84. 6 indexed citations

Forsythe, Rachael O., Olivia McBride, J. M. Robson, et al.. (2018). Magnetic resonance imaging using ultrasmall superparamagnetic particles of iron oxide for abdominal aortic aneurysm: a risk prediction study. SHILAP Revista de lepidopterología. 5(4). 1–94. 4 indexed citations

Cunningham, Steve, Aryelly Rodríguez, Tim Adams, et al.. (2015). Oxygen saturation targets in infants with bronchiolitis (BIDS): a double-blind, randomised, equivalence trial. The Lancet. 386(9998). 1041–1048. 88 indexed citations

Meer, Audrey L. H. van der, et al.. (1995). DEVELOPMENT OF PROSPECTIVE CONTROL OF CATCHING MOVING OBJECTS IN PRETERM AT‐RISK INFANTS. Developmental Medicine & Child Neurology. 37(2). 145–158. 26 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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