Ying Yan

21 papers and 632 indexed citations i.

About

Ying Yan is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Ying Yan has authored 21 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Ying Yan’s work include Nutrition and Health in Aging (7 papers), Ovarian function and disorders (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Ying Yan is often cited by papers focused on Nutrition and Health in Aging (7 papers), Ovarian function and disorders (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Ying Yan collaborates with scholars based in United States, China and Australia. Ying Yan's co-authors include John Friend, Jennifer S. Temel, David C. Currow, Elizabeth Manning Duus, Kenneth C.H. Fearon, Amy P. Abernethy, Chao Wang, Shouqiang Cao, Tao Jiang and Ke Xu and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and The Lancet Oncology.

In The Last Decade

Co-authorship network of co-authors of Ying Yan i

Fields of papers citing papers by Ying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Yan

Since Specialization
Citations

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