Xingyi Que

18 papers and 371 indexed citations i.

About

Xingyi Que is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Xingyi Que has authored 18 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Xingyi Que’s work include Organ Transplantation Techniques and Outcomes (4 papers), Transplantation: Methods and Outcomes (4 papers) and T-cell and B-cell Immunology (3 papers). Xingyi Que is often cited by papers focused on Organ Transplantation Techniques and Outcomes (4 papers), Transplantation: Methods and Outcomes (4 papers) and T-cell and B-cell Immunology (3 papers). Xingyi Que collaborates with scholars based in United States, China and Puerto Rico. Xingyi Que's co-authors include Fotini Debonera, Kim M. Olthoff, Andrew E. Gelman, Xavier Aldeguer, Rebecca Taub, Emma E. Furth, Haval Shirwan, Shi‐You Chen, Dunpeng Cai and Gideon Zamir and has published in prestigious journals such as Cell, Circulation Research and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Xingyi Que i

Fields of papers citing papers by Xingyi Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingyi Que

Since Specialization
Citations

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