Su‐Fern Tan

27 papers and 450 indexed citations i.

About

Su‐Fern Tan is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Su‐Fern Tan has authored 27 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Hematology and 9 papers in Oncology. Recurrent topics in Su‐Fern Tan’s work include Sphingolipid Metabolism and Signaling (21 papers), Acute Myeloid Leukemia Research (10 papers) and Drug Transport and Resistance Mechanisms (8 papers). Su‐Fern Tan is often cited by papers focused on Sphingolipid Metabolism and Signaling (21 papers), Acute Myeloid Leukemia Research (10 papers) and Drug Transport and Resistance Mechanisms (8 papers). Su‐Fern Tan collaborates with scholars based in United States, Egypt and Spain. Su‐Fern Tan's co-authors include David J. Feith, Thomas P. Loughran, Myles C. Cabot, Todd E. Fox, Samy A.F. Morad, Mark Kester, David F. Claxton, Jennifer M. Pearson, Shantu Amin and Dhimant Desai and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Su‐Fern Tan i

Fields of papers citing papers by Su‐Fern Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su‐Fern Tan

Since Specialization
Citations

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