Noel Chia

438 total citations
10 papers, 282 citations indexed

About

Noel Chia is a scholar working on Oncology, Surgery and Immunology. According to data from OpenAlex, Noel Chia has authored 10 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Surgery and 4 papers in Immunology. Recurrent topics in Noel Chia's work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (2 papers) and Head and Neck Cancer Studies (2 papers). Noel Chia is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (2 papers) and Head and Neck Cancer Studies (2 papers). Noel Chia collaborates with scholars based in Australia, Singapore and United Kingdom. Noel Chia's co-authors include Joe Yeong, Puay Hoon Tan, Clara Chong Hui Ong, Ruta Gupta, Jeffrey Chun Tatt Lim, Jonathan R. Clark, Jabed Iqbal, Trina Lum, Carsten E. Palme and Laveniya Satgunaseelan and has published in prestigious journals such as Frontiers in Immunology, Breast Cancer Research and Treatment and International Archives of Allergy and Immunology.

In The Last Decade

Noel Chia

10 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noel Chia Australia 7 201 111 54 46 45 10 282
Hilary S. Serracino United States 6 189 0.9× 65 0.6× 61 1.1× 96 2.1× 62 1.4× 9 334
Astrid De Meulenaere Belgium 10 261 1.3× 107 1.0× 65 1.2× 75 1.6× 65 1.4× 16 329
Songran Liu China 9 147 0.7× 26 0.2× 78 1.4× 91 2.0× 65 1.4× 28 328
Daiyuan Ma China 10 139 0.7× 65 0.6× 60 1.1× 110 2.4× 11 0.2× 40 274
Bayan Alzumaili United States 11 101 0.5× 18 0.2× 150 2.8× 35 0.8× 40 0.9× 20 291
Consuelo López Spain 5 31 0.2× 108 1.0× 30 0.6× 15 0.3× 19 0.4× 9 229
Nick van Dijk Netherlands 8 180 0.9× 65 0.6× 151 2.8× 72 1.6× 8 0.2× 16 273
Vatche Tchekmedyian United States 7 187 0.9× 14 0.1× 163 3.0× 34 0.7× 30 0.7× 12 310
Mariela Blum‐Murphy United States 6 140 0.7× 25 0.2× 74 1.4× 102 2.2× 10 0.2× 9 242
Anna Bozzola Italy 8 74 0.4× 19 0.2× 130 2.4× 10 0.2× 36 0.8× 22 235

Countries citing papers authored by Noel Chia

Since Specialization
Citations

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

Fields of papers citing papers by Noel Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noel Chia

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

All Works

10 of 10 papers shown
1.
Chia, Noel, Mihir Gudi, Emad A. Rakha, & Puay Hoon Tan. (2024). HER2-low breast cancers: challenges in the interpretation of immunohistochemistry. Singapore Medical Journal. 2 indexed citations
2.
Chia, Noel, Andrea L.A. Wong, Kejia Teo, et al.. (2021). H3K27M-mutant, hemispheric diffuse glioma in an adult patient with prolonged survival. Neuro-Oncology Advances. 3(1). vdab135–vdab135. 4 indexed citations
3.
Chia, Noel & Fredrik Petersson. (2020). Adenoid cystic carcinoma with dedifferentiation/expansion of the luminal cell component and preserved biphasic morphology – Early high-grade transformation. Annals of Diagnostic Pathology. 50. 151650–151650. 4 indexed citations
4.
Yeong, Joe, Noel Chia, Jeffrey Chun Tatt Lim, et al.. (2020). Tertiary lymphoid structures and associated plasma cells play an important role in the biology of triple-negative breast cancers. Breast Cancer Research and Treatment. 180(2). 369–377. 39 indexed citations
5.
Gao, Kan, et al.. (2019). Association of PD-L1 expression in oral squamous cell carcinoma with smoking, sex, and p53 expression. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 128(6). 631–638. 20 indexed citations
6.
Chia, Noel, Rakesh Kumar, Paul S. Foster, & Cristan Herbert. (2018). Enhanced Pro-Inflammatory Response of Macrophages to Interleukin-33 in an Allergic Environment. International Archives of Allergy and Immunology. 176(1). 74–82. 10 indexed citations
7.
Yeong, Joe, Jeffrey Chun Tatt Lim, Bernett Lee, et al.. (2018). High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer. Frontiers in Immunology. 9. 1209–1209. 100 indexed citations
8.
Satgunaseelan, Laveniya, Noel Chia, Sohaib Virk, et al.. (2017). p16 expression in cutaneous squamous cell carcinoma of the head and neck is not associated with integration of high risk HPV DNA or prognosis. Pathology. 49(5). 494–498. 30 indexed citations
9.
Satgunaseelan, Laveniya, Ruta Gupta, Jason Madore, et al.. (2016). Programmed cell death-ligand 1 expression in oral squamous cell carcinoma is associated with an inflammatory phenotype. Pathology. 48(6). 574–580. 64 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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