Kin Cheung Ng

39 total papers · 1.0k total citations
20 papers, 630 citations indexed

About

Kin Cheung Ng is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Kin Cheung Ng has authored 20 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Kin Cheung Ng's work include Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers) and Virus-based gene therapy research (4 papers). Kin Cheung Ng is often cited by papers focused on Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers) and Virus-based gene therapy research (4 papers). Kin Cheung Ng collaborates with scholars based in United States, Canada and Ireland. Kin Cheung Ng's co-authors include Gang Li, W Krause, Jo Miller, Michael Houghton, David Chien, Mark Selby, Magdalena Martinka, Eric I. Campos, Noelle K. Polakos and Xavier Paliard and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Virology.

In The Last Decade

Kin Cheung Ng

19 papers receiving 604 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kin Cheung Ng 249 199 170 96 94 20 630
Francisca Molina‐Jiménez 285 1.1× 154 0.8× 301 1.8× 78 0.8× 47 0.5× 20 627
Cheng‐Po Hu 217 0.9× 284 1.4× 149 0.9× 135 1.4× 59 0.6× 27 698
Jama M. Darling 219 0.9× 142 0.7× 224 1.3× 124 1.3× 27 0.3× 26 741
Eugene Dempsey 140 0.6× 317 1.6× 111 0.7× 162 1.7× 30 0.3× 24 681
Melia Paizi 279 1.1× 129 0.6× 221 1.3× 58 0.6× 78 0.8× 23 706
Peggy T. Tinkey 110 0.4× 131 0.7× 95 0.6× 67 0.7× 77 0.8× 30 623
Yinghui Shi 151 0.6× 180 0.9× 119 0.7× 200 2.1× 27 0.3× 19 623
Fon-Jou Hsieh 246 1.0× 190 1.0× 150 0.9× 41 0.4× 14 0.1× 18 695
Heechung Kwon 142 0.6× 235 1.2× 69 0.4× 64 0.7× 34 0.4× 21 570
Nobuhiko Kanazawa 290 1.2× 124 0.6× 423 2.5× 108 1.1× 20 0.2× 16 617

Countries citing papers authored by Kin Cheung Ng

Since Specialization
Citations

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

Fields of papers citing papers by Kin Cheung Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin Cheung Ng. 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 Kin Cheung Ng. The network helps show where Kin Cheung Ng may publish in the future.

Co-authorship network of co-authors of Kin Cheung Ng

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

All Works

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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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