Su-Ling Loo

20 total papers · 635 total citations
6 papers, 225 citations indexed

About

Su-Ling Loo is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Su-Ling Loo has authored 6 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Su-Ling Loo's work include Respiratory viral infections research (5 papers), Asthma and respiratory diseases (2 papers) and Pediatric health and respiratory diseases (2 papers). Su-Ling Loo is often cited by papers focused on Respiratory viral infections research (5 papers), Asthma and respiratory diseases (2 papers) and Pediatric health and respiratory diseases (2 papers). Su-Ling Loo collaborates with scholars based in Australia, United Kingdom and Canada. Su-Ling Loo's co-authors include Nathan W. Bartlett, Peter Wark, Patrick Mallia, Maria Adelaide Calderazzo, Sebastian L. Johnston, Aran Singanayagam, Lydia Finney, Kristy Nichol, Camille Esneau and Nicholas Glanville and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, European Respiratory Journal and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Su-Ling Loo

6 papers receiving 219 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Su-Ling Loo 111 80 69 53 39 6 225
Xixin Yan 86 0.8× 37 0.5× 64 0.9× 14 0.3× 45 1.2× 11 201
Inès Bendib 130 1.2× 84 1.1× 51 0.7× 77 1.5× 92 2.4× 10 266
Tisha S. Wang 84 0.8× 64 0.8× 71 1.0× 74 1.4× 40 1.0× 12 255
Manuel A. Torres Acosta 97 0.9× 58 0.7× 32 0.5× 82 1.5× 58 1.5× 6 256
Santos Bermejo 115 1.0× 50 0.6× 89 1.3× 56 1.1× 29 0.7× 12 322
Kelly Padilla 137 1.2× 81 1.0× 16 0.2× 32 0.6× 32 0.8× 6 258
Xiuping Hu 119 1.1× 34 0.4× 155 2.2× 45 0.8× 10 0.3× 9 303
Gerie J. Glas 45 0.4× 79 1.0× 109 1.6× 13 0.2× 38 1.0× 8 215
Manli Miao 139 1.3× 39 0.5× 18 0.3× 26 0.5× 88 2.3× 6 276
Claudio Acevedo 87 0.8× 35 0.4× 58 0.8× 23 0.4× 31 0.8× 11 202

Countries citing papers authored by Su-Ling Loo

Since Specialization
Citations

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

Fields of papers citing papers by Su-Ling Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Ling Loo. 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 Su-Ling Loo. The network helps show where Su-Ling Loo may publish in the future.

Co-authorship network of co-authors of Su-Ling Loo

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

All Works

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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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