Kay Wang

36 papers and 840 indexed citations i.

About

Kay Wang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Physiology. According to data from OpenAlex, Kay Wang has authored 36 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 19 papers in Epidemiology and 12 papers in Physiology. Recurrent topics in Kay Wang’s work include Pneumonia and Respiratory Infections (13 papers), Respiratory and Cough-Related Research (12 papers) and Asthma and respiratory diseases (10 papers). Kay Wang is often cited by papers focused on Pneumonia and Respiratory Infections (13 papers), Respiratory and Cough-Related Research (12 papers) and Asthma and respiratory diseases (10 papers). Kay Wang collaborates with scholars based in United Kingdom, United States and Belgium. Kay Wang's co-authors include Anthony Harnden, Nia Roberts, Christopher Butler, Peter Gill, Oliver van Hecke, Rafael Perera, Sarah Tonkin‐Crine, David Mant, Matthew Shun‐Shin and Carl Heneghan and has published in prestigious journals such as JAMA, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Kay Wang i

Fields of papers citing papers by Kay Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kay Wang

Since Specialization
Citations

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

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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