Annie Xin

2.4k citations
14 papers · 1.4k · h-index 7

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • Immune cells in cancer
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Annie Xin

11 papers receiving 1.4k citations

Peers

Annie Xin
Comparison fields: 5 of 69
  • Immunology 1.3k
  • Oncology 332
  • Virology 23
  • Cancer Research 64
  • Transplantation 11
Replace Dong‐Mei Zhao with:
Dong‐Mei Zhao China
Maria Miasari Australia
Afonso R. M. Almeida Portugal
Ariel Madrigal United States
Martin S. Naradikian United States
Clara Toma United States
Sophie Degouve France
Anna Guralnik Germany
Motonao Osaki Japan
Jae-Ho Cho South Korea
Annie Xin relative to Dong‐Mei Zhao China Dong‐Mei Zhao's profile →
Citations per field
00.5×1.6×
Dong‐Mei Zhao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Annie Xin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Annie Xin Line = papers co-authored together Annie Xin links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011473
2 2009389
3 2013293
4 2016126
5 2011110
6 201113
7 20247
8 20184
9 20253
10
The transcription factor IRF4 is essential for TCR affinity-mediated metabolic programming and clonal expansion of T cells (vol 14, pg 1155, 2013)
20142
11 20221
12
A combinatorial threshold model for effector differentiation of CD8( ) T cells mediated by Blimp-1 and T-bet
20160
13 20250
14 20250

About Annie Xin

Annie Xin is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Anesthesiology and Pain Medicine, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Coronary Interventions and Diagnostics (1 paper), Pancreatic function and diabetes (1 paper) and Advanced Battery Materials and Technologies (1 paper). The work is most often cited by research in Immunology (1.3k citations), Oncology (332 citations), Virology (23 citations), Cancer Research (64 citations) and Transplantation (11 citations). Annie Xin has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Gabrielle T. Belz, Stephen L. Nutt, Axel Kallies, Gordon K. Smyth, Wei Shi, Maria Miasari, Frédérick Masson, Martina Minnich, Erika Cretney and Meinrad Busslinger. Their work appears in journals such as Nature Immunology, Anesthesiology, The EMBO Journal, Energy storage materials and Regional Anesthesia & Pain Medicine.

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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