Cheryl Chia

937 total citations
10 papers, 724 citations indexed

About

Cheryl Chia is a scholar working on Immunology, Molecular Biology and Pharmacology. According to data from OpenAlex, Cheryl Chia has authored 10 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Cheryl Chia's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Alzheimer's disease research and treatments (2 papers). Cheryl Chia is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Alzheimer's disease research and treatments (2 papers). Cheryl Chia collaborates with scholars based in United States, Australia and China. Cheryl Chia's co-authors include Dunfang Zhang, Peter Zanvit, Wenwen Jin, Joanne E. Konkel, Wanjun Chen, Shimpei Kasagi, Ruiqing Wu, Xue Jiao, Songlin Wang and Qianming Chen and has published in prestigious journals such as Nature Medicine, Nature Communications and Immunity.

In The Last Decade

Cheryl Chia

10 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheryl Chia United States	8	362	298	103	86	72	10	724
Lihuang Zhang China	16	388 1.1×	331 1.1×	125 1.2×	143 1.7×	49 0.7×	40	873
Tiina Kelkka Finland	18	703 1.9×	295 1.0×	129 1.3×	87 1.0×	55 0.8×	30	1.1k
Katherine Bao United States	9	411 1.1×	325 1.1×	115 1.1×	99 1.2×	61 0.8×	13	921
Claudia Kammerbauer Germany	13	598 1.7×	539 1.8×	139 1.3×	98 1.1×	214 3.0×	19	1.1k
Satoshi Tanaka Japan	6	728 2.0×	229 0.8×	133 1.3×	41 0.5×	42 0.6×	7	1.1k
Jia‐Jun Liao United States	9	304 0.8×	447 1.5×	57 0.6×	49 0.6×	36 0.5×	15	710
Akemi Araki Japan	14	547 1.5×	295 1.0×	109 1.1×	74 0.9×	17 0.2×	35	817
Pirkko Mattila Finland	17	261 0.7×	382 1.3×	59 0.6×	156 1.8×	28 0.4×	37	854
Esen Yonca Bassoy Switzerland	9	285 0.8×	210 0.7×	67 0.7×	56 0.7×	90 1.3×	16	538
Françoise Horand France	15	373 1.0×	211 0.7×	78 0.8×	201 2.3×	222 3.1×	26	878

Countries citing papers authored by Cheryl Chia

Since Specialization

Citations

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

Fields of papers citing papers by Cheryl Chia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheryl Chia

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

All Works

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10 of 10 papers shown

1.

Shen, Meixin, Joey Ming Er Lim, Cheryl Chia, & Ee Chee Ren. (2019). CD39+ regulatory T cells modulate the immune response to carbamazepine in HLA-B*15:02 carriers. Immunobiology. 225(1). 151868–151868. 8 indexed citations

2.

Chen, Hua, Shimpei Kasagi, Cheryl Chia, et al.. (2019). Extracellular Vesicles from Apoptotic Cells Promote TGFβ Production in Macrophages and Suppress Experimental Colitis. Scientific Reports. 9(1). 5875–5875. 42 indexed citations

3.

Tu, Eric, Cheryl Chia, Weiwei Chen, et al.. (2018). T Cell Receptor-Regulated TGF-β Type I Receptor Expression Determines T Cell Quiescence and Activation. Immunity. 48(4). 745–759.e6. 63 indexed citations

4.

Konkel, Joanne E., Dunfang Zhang, Peter Zanvit, et al.. (2017). Transforming Growth Factor-β Signaling in Regulatory T Cells Controls T Helper-17 Cells and Tissue-Specific Immune Responses. Immunity. 46(4). 660–674. 178 indexed citations

5.

Zhang, Dunfang, Cheryl Chia, Xue Jiao, et al.. (2017). D-mannose induces regulatory T cells and suppresses immunopathology. Nature Medicine. 23(9). 1036–1045. 184 indexed citations

6.

Zanvit, Peter, Joanne E. Konkel, Xue Jiao, et al.. (2015). Antibiotics in neonatal life increase murine susceptibility to experimental psoriasis. Nature Communications. 6(1). 8424–8424. 135 indexed citations

7.

Ramdzan, Yasmin M., Cheryl Chia, Ivan H. W. Ng, et al.. (2012). Tracking protein aggregation and mislocalization in cells with flow cytometry. Nature Methods. 9(5). 467–470. 84 indexed citations

8.

Tu, Eric, Desmond K. Y. Ang, Thea Hogan, et al.. (2011). A Convenient Model of Severe, High Incidence Autoimmune Gastritis Caused by Polyclonal Effector T Cells and without Perturbation of Regulatory T Cells. PLoS ONE. 6(11). e27153–e27153. 3 indexed citations

9.

Chia, Cheryl, et al.. (2011). Intracellular trafficking of the β-secretase and processing of amyloid precursor protein. IUBMB Life. 63(9). spcone–spcone. 4 indexed citations

10.

Chia, Cheryl, et al.. (2011). Intracellular trafficking of the β-secretase and processing of amyloid precursor protein. IUBMB Life. 63(9). n/a–n/a. 23 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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