Shawna Tan

7 papers and 537 indexed citations i.

About

Shawna Tan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shawna Tan has authored 7 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shawna Tan’s work include Cancer Cells and Metastasis (5 papers), Renal and related cancers (3 papers) and Pluripotent Stem Cells Research (2 papers). Shawna Tan is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Renal and related cancers (3 papers) and Pluripotent Stem Cells Research (2 papers). Shawna Tan collaborates with scholars based in Singapore, United Kingdom and Japan. Shawna Tan's co-authors include Nick Barker, Hans Clevers, Marc Leushacke, Annie Ng, Swathi Yada, Pamela Rizk, Tuan Zea Tan, Ruby Yun‐Ju Huang, Maarten B. Rookmaaker and Meritxell Huch and has published in prestigious journals such as Nature Cell Biology, Development and Cell Reports.

In The Last Decade

Co-authorship network of co-authors of Shawna Tan i

Fields of papers citing papers by Shawna Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shawna Tan

Since Specialization
Citations

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