Joe Yeong

84 papers and 2.4k indexed citations i.

About

Joe Yeong is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Joe Yeong has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Oncology, 29 papers in Immunology and 18 papers in Molecular Biology. Recurrent topics in Joe Yeong’s work include Cancer Immunotherapy and Biomarkers (38 papers), Immunotherapy and Immune Responses (15 papers) and Cancer Genomics and Diagnostics (11 papers). Joe Yeong is often cited by papers focused on Cancer Immunotherapy and Biomarkers (38 papers), Immunotherapy and Immune Responses (15 papers) and Cancer Genomics and Diagnostics (11 papers). Joe Yeong collaborates with scholars based in Singapore, United States and Australia. Joe Yeong's co-authors include Jeffrey Chun Tatt Lim, Tony Kiat Hon Lim, Valerie Chew, Aye Aye Thike, Jabed Iqbal, Puay Hoon Tan, Sanjna Nilesh Nerurkar, Han Chong Toh, Chun Jye Lim and Harry Ho Man Ng and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Joe Yeong i

Fields of papers citing papers by Joe Yeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joe Yeong

Since Specialization
Citations

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