Wing Ki Wong

39 total papers · 971 total citations
24 papers, 530 citations indexed

About

Wing Ki Wong is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Wing Ki Wong has authored 24 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Wing Ki Wong's work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (6 papers). Wing Ki Wong is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (6 papers). Wing Ki Wong collaborates with scholars based in United Kingdom, United States and Hong Kong. Wing Ki Wong's co-authors include Charlotte M. Deane, Guy Georges, Alexander Bujotzek, Brennan Abanades, Fergus Boyles, Jinwoo Leem, Matthew I. J. Raybould, Nelson L.S. Tang, Tze Kin Lau and Theodoric Wong and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Frontiers in Immunology.

In The Last Decade

Wing Ki Wong

21 papers receiving 502 citations

Hit Papers

ImmuneBuilder: Deep-Learn... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Wing Ki Wong 299 295 150 50 40 24 530
Krista Johnson 191 0.6× 125 0.4× 266 1.8× 9 0.2× 44 1.1× 23 600
Richard M. Jack 137 0.5× 70 0.2× 264 1.8× 53 1.1× 30 0.8× 17 593
Camilo Espinosa 117 0.4× 124 0.4× 216 1.4× 15 0.3× 28 0.7× 16 461
Mette Ramsing 151 0.5× 64 0.2× 49 0.3× 18 0.4× 10 0.3× 30 449
Shuang Ni 138 0.5× 114 0.4× 76 0.5× 8 0.2× 157 3.9× 46 526
Anita Kumari 104 0.3× 56 0.2× 101 0.7× 20 0.4× 26 0.7× 48 476
Jill Freeman 104 0.3× 84 0.3× 56 0.4× 71 1.4× 6 0.1× 15 495
Hongye Jiang 142 0.5× 21 0.1× 144 1.0× 68 1.4× 11 0.3× 29 471
Hao Yang 224 0.7× 25 0.1× 132 0.9× 39 0.8× 8 0.2× 29 566
Grzegorz B. Gmyrek 84 0.3× 31 0.1× 266 1.8× 118 2.4× 23 0.6× 31 493

Countries citing papers authored by Wing Ki Wong

Since Specialization
Citations

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

Fields of papers citing papers by Wing Ki Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing Ki Wong. 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 Wing Ki Wong. The network helps show where Wing Ki Wong may publish in the future.

Co-authorship network of co-authors of Wing Ki Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Wing Ki Wong. A scholar is included among the top collaborators of Wing Ki Wong 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 Wing Ki Wong. Wing Ki Wong 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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