Annie Xin

2.4k total citations
14 papers, 1.4k citations indexed

About

Annie Xin is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Annie Xin has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Annie Xin's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). Annie Xin is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). Annie Xin collaborates with scholars based in Australia, United States and China. Annie Xin's co-authors include Axel Kallies, Stephen L. Nutt, Gabrielle T. Belz, Gordon K. Smyth, Wei Shi, Maria Miasari, Frédérick Masson, Martina Minnich, Meinrad Busslinger and Erika Cretney and has published in prestigious journals such as The EMBO Journal, Immunity and Nature Immunology.

In The Last Decade

Annie Xin

11 papers receiving 1.4k citations

Peers

Annie Xin
Dong‐Mei Zhao China
Jason G. Cyster United States
J. Adam Best United States
Maria Miasari Australia
Afonso R. M. Almeida Portugal
Sophie Degouve France
Kito Nzingha United States
Martin S. Naradikian United States
Motonao Osaki Japan
Jae-Ho Cho South Korea
Dong‐Mei Zhao China
Annie Xin
Citations per year, relative to Annie Xin Annie Xin (= 1×) peers Dong‐Mei Zhao

Countries citing papers authored by Annie Xin

Since Specialization
Citations

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

Fields of papers citing papers by Annie Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Annie Xin. A scholar is included among the top collaborators of Annie Xin 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 Annie Xin. Annie Xin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Huang, Lujun, Yating Huang, Qingyu Yan, et al.. (2025). Dendrite-suppressed garnet-amorphous glass biphasic electrolyte via in-situ liquid phase sintering for high-performance solid-state batteries. Energy storage materials. 82. 104573–104573.
3.
Dennis, A.T., Annie Xin, & Michaela K. Farber. (2025). Perioperative Management of Patients with Preeclampsia: A Comprehensive Review. Anesthesiology. 142(2). 378–402. 3 indexed citations
4.
Xin, Annie, Anneke Grobler, Graham Bell, et al.. (2024). Neurodevelopmental Outcomes after Multiple General Anesthetic Exposures before 5 Years of Age: A Cohort Study. Anesthesiology. 142(2). 308–319. 7 indexed citations
5.
6.
Xin, Annie, Melissa Lee, Yifang Hu, et al.. (2018). Identifying low-grade cellular rejection after heart transplantation in children by using gene expression profiling. Physiological Genomics. 50(3). 190–196. 4 indexed citations
7.
Masson, Frédérick, Annie Xin, Yi‐Ting Liao, et al.. (2016). A combinatorial threshold model for effector differentiation of CD8( ) T cells mediated by Blimp-1 and T-bet. European Journal of Immunology. 46.
8.
Xin, Annie, Frédérick Masson, Yang Liao, et al.. (2016). A molecular threshold for effector CD8+ T cell differentiation controlled by transcription factors Blimp-1 and T-bet. Nature Immunology. 17(4). 422–432. 126 indexed citations
9.
Man, Kevin, Maria Miasari, Wei Shi, et al.. (2014). The transcription factor IRF4 is essential for TCR affinity-mediated metabolic programming and clonal expansion of T cells (vol 14, pg 1155, 2013). Nature Immunology. 15(9). 2 indexed citations
10.
Man, Kevin, Maria Miasari, Wei Shi, et al.. (2013). The transcription factor IRF4 is essential for TCR affinity–mediated metabolic programming and clonal expansion of T cells. Nature Immunology. 14(11). 1155–1165. 293 indexed citations
11.
Jackson, Jacob T., Yifang Hu, Ruijie Liu, et al.. (2011). Id2 expression delineates differential checkpoints in the genetic program of CD8α + and CD103 + dendritic cell lineages. The EMBO Journal. 30(13). 2690–2704. 110 indexed citations
12.
Cretney, Erika, Annie Xin, Wei Shi, et al.. (2011). The transcription factors Blimp-1 and IRF4 jointly control the differentiation and function of effector regulatory T cells. Nature Immunology. 12(4). 304–311. 473 indexed citations
13.
Xin, Annie, Stephen L. Nutt, Gabrielle T. Belz, & Axel Kallies. (2011). Blimp1: Driving Terminal Differentiation to a T. Advances in experimental medicine and biology. 780. 85–100. 13 indexed citations
14.
Kallies, Axel, Annie Xin, Gabrielle T. Belz, & Stephen L. Nutt. (2009). Blimp-1 Transcription Factor Is Required for the Differentiation of Effector CD8+ T Cells and Memory Responses. Immunity. 31(2). 283–295. 389 indexed citations

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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