Sara Quon

1.0k total citations · 1 hit paper
7 papers, 203 citations indexed

About

Sara Quon is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Sara Quon has authored 7 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Sara Quon's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Sara Quon is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Sara Quon collaborates with scholars based in United States, Australia and South Korea. Sara Quon's co-authors include Ananda W. Goldrath, Amir Ferry, Nicole E. Scharping, Kyla Omilusik, Ilkka Liikanen, Jason T. Yustein, John Goulding, Anthony T. Phan, Joyce Chen and James Scott‐Browne and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Immunity.

In The Last Decade

Sara Quon

7 papers receiving 203 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tissue-resident memory CD8 T cell diversity is spatiotemporally imprinted

2025 23 citations Miguel Reina‐Campos, Alexander Monell et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sara Quon United States	6	110	71	65	61	13	7	203
Daniel Gromer United States	3	144 1.3×	85 1.2×	99 1.5×	57 0.9×	16 1.2×	4	244
Ana Henriques Greece	7	144 1.3×	84 1.2×	93 1.4×	31 0.5×	15 1.2×	14	244
Ajit Elhance United States	7	129 1.2×	114 1.6×	79 1.2×	48 0.8×	25 1.9×	10	270
Shuanglin Han Australia	6	72 0.7×	180 2.5×	66 1.0×	141 2.3×	23 1.8×	7	293
Yifan Sun China	6	59 0.5×	101 1.4×	42 0.6×	48 0.8×	14 1.1×	8	173
Phil Vourtzoumis Canada	5	256 2.3×	64 0.9×	112 1.7×	35 0.6×	8 0.6×	9	340
Ravi K. Dinesh United States	8	168 1.5×	64 0.9×	66 1.0×	17 0.3×	9 0.7×	11	267
Adam Kornberg United States	4	97 0.9×	51 0.7×	85 1.3×	25 0.4×	27 2.1×	5	202
Alfie T. Baker United Kingdom	8	214 1.9×	63 0.9×	118 1.8×	13 0.2×	12 0.9×	10	302
Andrew Baessler United States	5	151 1.4×	67 0.9×	147 2.3×	21 0.3×	20 1.5×	6	267

Countries citing papers authored by Sara Quon

Since Specialization

Citations

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

Fields of papers citing papers by Sara Quon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Quon

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

All Works

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7 of 7 papers shown

1.

Reina‐Campos, Miguel, Alexander Monell, Amir Ferry, et al.. (2025). Tissue-resident memory CD8 T cell diversity is spatiotemporally imprinted. Nature. 639(8054). 483–492. 23 indexed citations breakdown →

2.

Wang, Liwen, Sara Quon, Bingfei Yu, et al.. (2024). T-bet deficiency and Hic1 induction override TGF-β-dependency in the formation of CD103+ intestine-resident memory CD8+ T cells. Cell Reports. 43(6). 114258–114258. 6 indexed citations

3.

Nguyen, Quynh, Kennidy K. Takehara, Tianda Deng, et al.. (2023). Transcriptional programming of CD4 ⁺ T _RM differentiation in viral infection balances effector- and memory-associated gene expression. Science Immunology. 8(83). eabq7486–eabq7486. 10 indexed citations

4.

Quon, Sara, Bingfei Yu, Brendan E. Russ, et al.. (2023). DNA architectural protein CTCF facilitates subset-specific chromatin interactions to limit the formation of memory CD8+ T cells. Immunity. 56(5). 959–978.e10. 12 indexed citations

5.

Liikanen, Ilkka, Sara Quon, Kyla Omilusik, et al.. (2021). Hypoxia-inducible factor activity promotes antitumor effector function and tissue residency by CD8+ T cells. Journal of Clinical Investigation. 131(7). 103 indexed citations

6.

Quon, Sara, Bingfei Yu, Zhaoren He, et al.. (2019). CTCF is necessary for CD8+ effector T cell differentiation. The Journal of Immunology. 202(1_Supplement). 125.6–125.6. 1 indexed citations

7.

Huang, Tse-Shun, Kuei-Chun Wang, Sara Quon, et al.. (2017). LINC00341 exerts an anti-inflammatory effect on endothelial cells by repressing VCAM1. Physiological Genomics. 49(7). 339–345. 48 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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