Dennis Kai Ming Ip

658 citations
13 papers · 311 indexed · 1 hit paper · h-index 6
Topics
SARS-CoV-2 and COVID-19 Research (8 papers)Influenza Virus Research Studies (5 papers)COVID-19 Clinical Research Studies (4 papers)
Partner nations
Hong KongAustraliaChina

In The Last Decade

Dennis Kai Ming Ip

13 papers receiving 306 citations

Hit Papers

Diagnostic performance of different sampling approaches f...2021202620222024202150100150

Peers

Dennis Kai Ming Ip
Comparison fields: 5 of 55
  • Infectious Diseases 210
  • Biomedical Engineering 74
  • Epidemiology 58
  • Molecular Biology 49
  • Surgery 46
Replace Nicole Ngai Yung Tsang with:
Nicole Ngai Yung Tsang Hong Kong
Timmy Wing‐Kuk Au China
Paul Terpeluk United States
Yasemin Coşgun Türkiye
Jan Van Elslande Belgium
Gab Jung Kim South Korea
Marta Żuchowski Germany
Monika Patel United Kingdom
Eamon O’Murchu Ireland
Julia Tesch Germany
Dennis Kai Ming Ip relative to Nicole Ngai Yung Tsang Hong Kong Nicole Ngai Yung Tsang's profile →
Citations per field
00.5×1.5×1.8×
Nicole Ngai Yung Tsang · 1×
Citations per year

Countries citing papers authored by Dennis Kai Ming Ip

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Kai Ming Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis Kai Ming Ip. 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 Dennis Kai Ming Ip. The network helps show where Dennis Kai Ming Ip may publish in the future.

Co-authorship network of co-authors of Dennis Kai Ming Ip

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 3
3 2
4 4
5 6
6 10
7 4
8 41
9 13
10 3
11 40
12
Diagnostic performance of different sampling approaches for SARS-CoV-2 RT-PCR testing: a systematic review and meta-analysisbreakdown →
179
13 5

About Dennis Kai Ming Ip

Dennis Kai Ming Ip is a scholar working on Infectious Diseases, Health and Modeling and Simulation, having authored 13 papers that have together received 311 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Influenza Virus Research Studies (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (210 citations), Modeling and Simulation (30 citations) and General Dentistry (10 citations). Dennis Kai Ming Ip has collaborated with scholars based in Hong Kong, Australia and China. Frequent co-authors include Benjamin J. Cowling, Hau Chi So, GM Leung, Nicole Ngai Yung Tsang, Ka Yan Ng, Bhy Chung, Greta Tam, Vincent Chi Hang Lui, Lin He and Paul Kwong Hang Tam. Their work appears in journals such as Clinical Infectious Diseases, Scientific Reports and The Journal of 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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