William T. Wong

12 papers and 643 indexed citations i.

About

William T. Wong is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, William T. Wong has authored 12 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in William T. Wong’s work include Protein Kinase Regulation and GTPase Signaling (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cellular transport and secretion (2 papers). William T. Wong is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cellular transport and secretion (2 papers). William T. Wong collaborates with scholars based in United States, Italy and United Kingdom. William T. Wong's co-authors include Pier Paolo Di Fiore, Cláudia Piccoli, Brona Matoskova, Marcia E. Newcomer, K.V. Radha Kishan, Giorgio Scita, Francesca Fazioli, Liliana Minichiello, Pier Giuseppe Pelicci and Anna Elisabetta Salcini and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Co-authorship network of co-authors of William T. Wong i

Fields of papers citing papers by William T. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William T. Wong

Since Specialization
Citations

This map shows the geographic impact of William T. 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 William T. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Wong more than expected).

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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2025