Sunnie Wong

33 total papers · 1.9k total citations
14 papers, 1.1k citations indexed

About

Sunnie Wong is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Sunnie Wong has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Sunnie Wong's work include CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (4 papers) and Digestive system and related health (2 papers). Sunnie Wong is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (4 papers) and Digestive system and related health (2 papers). Sunnie Wong collaborates with scholars based in United States, France and India. Sunnie Wong's co-authors include Philip D. Gregory, Michael C. Holmes, Edward J. Rebar, Yannick Doyon, Katherine A. High, Virginia Haurigot, Xavier M. Anguela, Hojun Li, Rajiv P. Sharma and Shangzhen Zhou and has published in prestigious journals such as Nature, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sunnie Wong

13 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Sunnie Wong 827 360 183 65 64 14 1.1k
Mitch O. Rotenberg 1.0k 1.3× 145 0.4× 80 0.4× 125 1.9× 35 0.5× 19 1.2k
Matthew Glyn 771 0.9× 175 0.5× 155 0.8× 72 1.1× 22 0.3× 26 1.3k
Qing Chai 717 0.9× 87 0.2× 84 0.5× 53 0.8× 14 0.2× 29 1.1k
Chadd E. Nesbit 891 1.1× 81 0.2× 367 2.0× 26 0.4× 8 0.1× 15 1.2k
Todd M. Kinsella 589 0.7× 141 0.4× 234 1.3× 54 0.8× 4 0.1× 11 981
Jennifer L. Fiori 541 0.7× 201 0.6× 122 0.7× 77 1.2× 12 0.2× 19 1.1k
Gerald A. Vuocolo 608 0.7× 239 0.7× 356 1.9× 224 3.4× 10 0.2× 16 1.2k
Andrea Bianchini 1.1k 1.3× 174 0.5× 110 0.6× 88 1.4× 4 0.1× 18 1.4k
Tianqing Kong 490 0.6× 171 0.5× 80 0.4× 107 1.6× 7 0.1× 21 1.2k
Vishram Kedar 1.1k 1.4× 71 0.2× 139 0.8× 128 2.0× 6 0.1× 16 1.4k

Countries citing papers authored by Sunnie Wong

Since Specialization
Citations

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

Fields of papers citing papers by Sunnie Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunnie Wong

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