Kay Wang

41 papers receiving 967 citations

Peers

Kay Wang
Comparison fields: 5 of 99
  • Applied Microbiology and Biotechnology 240
  • Microbiology 113
  • Epidemiology 334
  • Critical Care and Intensive Care Medicine 43
  • Pulmonary and Respiratory Medicine 171
Replace Joseph B. Cantey with:
Joseph B. Cantey United States
J. Macfarlane United Kingdom
Guduru Gopal Rao United Kingdom
Lilliam Ambroggio United States
Jennifer Townsend United States
Firdose Lambey Nakwa South Africa
Hayden T. Schwenk United States
Sagori Mukhopadhyay United States
Jane H. Thomas Australia
Marc D. Smith United States
Kay Wang relative to Joseph B. Cantey United States Joseph B. Cantey's profile →
Citations per field
00.5×1.5×
Joseph B. Cantey · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Kay Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kay Wang Line = papers co-authored together Kay Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017171
2 201489
3 201781
4 201768
5 201265
6 201261
7 201951
8 201347
9 201439
10 201735
11 202132
12 201430
13 202028
14 201628
15 201126
16 201424
17 202018
18 201010
19 202010
20 20198

About Kay Wang

Kay Wang is a scholar working on Applied Microbiology and Biotechnology, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Epidemiology and Physiology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Respiratory and Cough-Related Research (7 papers), Asthma and respiratory diseases (7 papers), Antibiotic Use and Resistance (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Thermal Regulation in Medicine (4 papers), Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (240 citations), Microbiology (113 citations), Epidemiology (334 citations), Critical Care and Intensive Care Medicine (43 citations) and Pulmonary and Respiratory Medicine (171 citations). Kay Wang has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Anthony Harnden, Nia Wyn Roberts, Christopher Butler, Oliver van Hecke, Peter J. Gill, Sarah KG Tonkin-Crine, Rafael Perera, David Mant, Carl J. Heneghan and Pui San Tan. Their work appears in journals such as European Respiratory Journal, British Journal of General Practice, BMJ Open, Cochrane Database of Systematic Reviews and npj Primary Care Respiratory Medicine.

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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