Hai‐Hui Xue

145 total papers · 9.2k total citations
98 papers, 6.4k citations indexed

About

Hai‐Hui Xue is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hai‐Hui Xue has authored 98 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Immunology, 32 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in Hai‐Hui Xue's work include Immune Cell Function and Interaction (66 papers), T-cell and B-cell Immunology (55 papers) and Immunotherapy and Immune Responses (18 papers). Hai‐Hui Xue is often cited by papers focused on Immune Cell Function and Interaction (66 papers), T-cell and B-cell Immunology (55 papers) and Immunotherapy and Immune Responses (18 papers). Hai‐Hui Xue collaborates with scholars based in United States, China and Japan. Hai‐Hui Xue's co-authors include Qiang Shan, John T. Harty, Vladimir P. Badovinac, Shuyang Yu, Xinyuan Zhou, Dong‐Mei Zhao, Fengyin Li, Shaojun Xing, Weiqun Peng and Junghwa Lee and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hai‐Hui Xue

97 papers receiving 6.3k citations

Hit Papers

Defining CD8+ T cells tha... 2010 2026 2015 2020 2016 2010 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hai‐Hui Xue 4.8k 2.1k 1.7k 397 297 98 6.4k
Peter T. Sage 4.4k 0.9× 2.1k 1.0× 1.1k 0.7× 377 0.9× 301 1.0× 64 6.3k
Michio Tomura 3.9k 0.8× 1.4k 0.7× 1.5k 0.9× 394 1.0× 259 0.9× 90 5.7k
Edward Greenfield 5.8k 1.2× 2.6k 1.2× 1.7k 1.0× 430 1.1× 342 1.2× 117 8.1k
David Chantry 3.0k 0.6× 1.8k 0.9× 1.1k 0.7× 398 1.0× 231 0.8× 74 5.5k
Masahisa Jinushi 3.9k 0.8× 2.1k 1.0× 1.4k 0.8× 572 1.4× 287 1.0× 71 5.5k
Michael D. Rosenblum 4.0k 0.8× 2.2k 1.0× 1.3k 0.8× 375 0.9× 263 0.9× 74 6.5k
Kunio Hieshima 4.5k 0.9× 3.0k 1.4× 1.2k 0.7× 558 1.4× 313 1.1× 69 6.8k
Michael A. Farrar 5.0k 1.1× 1.8k 0.9× 1.7k 1.0× 442 1.1× 365 1.2× 88 7.1k
Fernando Bazán 3.9k 0.8× 1.4k 0.7× 1.5k 0.9× 556 1.4× 246 0.8× 68 6.7k
Daniel F. Legler 4.3k 0.9× 2.7k 1.3× 2.1k 1.3× 407 1.0× 249 0.8× 96 7.1k

Countries citing papers authored by Hai‐Hui Xue

Since Specialization
Citations

This map shows the geographic impact of Hai‐Hui Xue'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 Hai‐Hui Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Hui Xue more than expected).

Fields of papers citing papers by Hai‐Hui Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Hui Xue. 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 Hai‐Hui Xue. The network helps show where Hai‐Hui Xue may publish in the future.

Co-authorship network of co-authors of Hai‐Hui Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Hui Xue. A scholar is included among the top collaborators of Hai‐Hui Xue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hai‐Hui Xue. Hai‐Hui Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026