Apple C. M. Yeung

1.5k citations
38 papers · 1.1k indexed · h-index 20
Topics
Respiratory viral infections research (12 papers)Cervical Cancer and HPV Research (11 papers)Influenza Virus Research Studies (8 papers)
Partner nations
Hong KongChinaSingapore

In The Last Decade

Apple C. M. Yeung

38 papers receiving 1.1k citations

Peers

Apple C. M. Yeung
Comparison fields: 5 of 86
  • Epidemiology 776
  • Infectious Diseases 274
  • Molecular Biology 212
  • Immunology 146
  • Surgery 125
Replace Talat Mokhtari‐Azad with:
Talat Mokhtari‐Azad Iran
Lynette Lin Ean Oon Singapore
M S Ho Taiwan
Amitis Ramezani Iran
Nawfal R Hussein Iraq
Yoon‐Seok Chung South Korea
Mert Ahmet Kuşkucu Türkiye
Keven M. Robinson United States
Christine Kottaridi Greece
Bhagirathi Dwibedi India
Apple C. M. Yeung relative to Talat Mokhtari‐Azad Iran Talat Mokhtari‐Azad's profile →
Citations per field
00.5×
Talat Mokhtari‐Azad · 1×
Citations per year

Countries citing papers authored by Apple C. M. Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Apple C. M. Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Apple C. M. Yeung. 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 Apple C. M. Yeung. The network helps show where Apple C. M. Yeung may publish in the future.

Co-authorship network of co-authors of Apple C. M. Yeung

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 9
4 70
5 57
6 23
7 20
8 60
9 17
10 13
11 48
12 17
13 57
14 48
15 43
16 45
17 45
18 47
19 97
20 22

About Apple C. M. Yeung

Apple C. M. Yeung is a scholar working on Infectious Diseases, Epidemiology and Periodontics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (12 papers), Cervical Cancer and HPV Research (11 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Epidemiology (776 citations), Infectious Diseases (274 citations) and Modeling and Simulation (59 citations). Apple C. M. Yeung has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Paul K.S. Chan, Julian W. Tang, Wai‐Yip Lam, Martin C. S. Wong, Martin C.W. Chan, E. Anthony S. Nelson, Wendy C. S. Ho, Margaret Ip, Mamie Hui and Ting Fan Leung. Their work appears in journals such as PLoS ONE, Biochemistry and Clinical Infectious Diseases.

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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