Kam Yu

1.7k citations
29 papers · 925 indexed · h-index 12

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 10%
    • Lung Cancer Research Studies
    • Viral-associated cancers and disorders
    • Ear and Head Tumors

Papers in

Kam Yu

25 papers receiving 898 citations

Peers

Kam Yu
Comparison fields: 5 of 85
  • Otorhinolaryngology 628
  • Oncology 395
  • Surgery 449
  • Dermatology 78
  • Pulmonary and Respiratory Medicine 232
Replace Stephanie E. McClure with:
Stephanie E. McClure United States
Mei‐Kim Ang Singapore
Charles Schneider United States
Fulvia Pedani Italy
Alexander Rühle Germany
Joanne Stetz United States
E. Samantas Greece
Joanna Dewar Australia
Christine K. Gause United States
Hammouda Boussen Tunisia
Kam Yu relative to Stephanie E. McClure United States Stephanie E. McClure's profile →
Citations per field
00.5×6.5×
Stephanie E. McClure · 1×
Citations per year

Countries citing papers authored by Kam Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kam Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kam Yu, 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 Kam Yu Line = papers co-authored together Kam Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 201910
3 20190
4 20186
5 20172
6 20151
7 201326
8 20111
9
Econometric Issues in Hedonic Price Indices: The Case of Internet Service Providers
20100
10 200814
11 200712
12
Studies in Hedonic Resale Housing Price Indexes
200615
13
Swallowing Function after Altered Fractionation Radiotherapy for Head and Neck Carcinoma
20053
14 200444
15 200415
16 200499
17 200350
18 1996187
19 19958
20 199418

About Kam Yu

Kam Yu is a scholar working on Otorhinolaryngology, Marketing, Economics and Econometrics, Management Science and Operations Research and Dermatology, having authored 29 papers that have together received 925 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (11 papers), Healthcare Policy and Management (5 papers), Head and Neck Surgical Oncology (4 papers), Global Health Care Issues (4 papers), Housing Market and Economics (4 papers), Consumer Market Behavior and Pricing (4 papers), Lung Cancer Research Studies (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Otorhinolaryngology (628 citations), Oncology (395 citations), Surgery (449 citations), Dermatology (78 citations) and Pulmonary and Respiratory Medicine (232 citations). Kam Yu has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include W. H. Kwan, Philip J. Johnson, S. F. Leung, P. Teo, Peter Choi, Frankie Mo, Anthony T.�C. Chan, Benny Zee, W. Y. Lee and Tony Mok. Their work appears in journals such as Journal of Clinical Oncology, Clinical and Experimental Dermatology, Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Neurology.

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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