Eva Chan

7 papers and 477 indexed citations i.

About

Eva Chan is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Eva Chan has authored 7 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Physiology. Recurrent topics in Eva Chan’s work include NF-κB Signaling Pathways (1 paper), Cell death mechanisms and regulation (1 paper) and Protein Tyrosine Phosphatases (1 paper). Eva Chan is often cited by papers focused on NF-κB Signaling Pathways (1 paper), Cell death mechanisms and regulation (1 paper) and Protein Tyrosine Phosphatases (1 paper). Eva Chan collaborates with scholars based in United States. Eva Chan's co-authors include Donald G. Payan, Betty Huang, Ying Luo, Mary Shen, Garry P. Nolan, Xiang Xu, James B. Lorens, Pei Yu, Richard Armstrong and Esteban S. Masuda and has published in prestigious journals such as Nature Genetics, Oncogene and Current Biology.

In The Last Decade

Co-authorship network of co-authors of Eva Chan i

Fields of papers citing papers by Eva Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Chan

Since Specialization
Citations

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