Wee Loong Chin

445 total citations
9 papers, 162 citations indexed

About

Wee Loong Chin is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Wee Loong Chin has authored 9 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Wee Loong Chin's work include Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Wee Loong Chin is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Wee Loong Chin collaborates with scholars based in Australia, United Kingdom and Netherlands. Wee Loong Chin's co-authors include Anna K. Nowak, Michael Millward, W. Joost Lesterhuis, Richard Lake, Rachael M. Zemek, Alistair Cook, Alison M. McDonnell, Timo Lassmann, Chris P. Ponting and Laura S. Itzhaki and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Wee Loong Chin

9 papers receiving 161 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wee Loong Chin Australia	7	96	81	42	34	15	9	162
Shaun Tiwari United States	3	112 1.2×	100 1.2×	33 0.8×	20 0.6×	18 1.2×	3	178
Blanca Navarro Rodrigo Switzerland	3	115 1.2×	79 1.0×	33 0.8×	38 1.1×	17 1.1×	6	160
L. Resano Spain	3	110 1.1×	117 1.4×	40 1.0×	15 0.4×	9 0.6×	5	158
Mohsen Abu-Akeel United States	3	137 1.4×	139 1.7×	26 0.6×	14 0.4×	16 1.1×	3	193
Guilhem Pupier France	3	136 1.4×	124 1.5×	35 0.8×	18 0.5×	15 1.0×	4	194
Siham Farhane France	6	105 1.1×	70 0.9×	25 0.6×	20 0.6×	8 0.5×	7	162
Andrew Baessler United States	5	147 1.5×	151 1.9×	67 1.6×	23 0.7×	21 1.4×	6	267
Rachel Marcone Switzerland	5	95 1.0×	100 1.2×	54 1.3×	11 0.3×	14 0.9×	9	163
Anne Calvez France	2	92 1.0×	85 1.0×	29 0.7×	13 0.4×	13 0.9×	2	139
Lloyd Bod United States	4	99 1.0×	130 1.6×	40 1.0×	17 0.5×	9 0.6×	6	189

Countries citing papers authored by Wee Loong Chin

Since Specialization

Citations

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

Fields of papers citing papers by Wee Loong Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wee Loong Chin. 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 Wee Loong Chin. The network helps show where Wee Loong Chin may publish in the future.

Co-authorship network of co-authors of Wee Loong Chin

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

All Works

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9 of 9 papers shown

Tilsed, Caitlin M., Wee Loong Chin, Rachael M. Zemek, et al.. (2022). CD4+ T cells drive an inflammatory, TNF-α/IFN-rich tumor microenvironment responsive to chemotherapy. Cell Reports. 41(13). 111874–111874. 8 indexed citations

Zemek, Rachael M., Wee Loong Chin, Vanessa S. Fear, et al.. (2022). Temporally restricted activation of IFNβ signaling underlies response to immune checkpoint therapy in mice. Nature Communications. 13(1). 4895–4895. 25 indexed citations

Tilsed, Caitlin M., Scott Fisher, Louis Boon, et al.. (2022). Comprehensive Testing of Chemotherapy and Immune Checkpoint Blockade in Preclinical Cancer Models Identifies Additive Combinations. Frontiers in Immunology. 13. 872295–872295. 12 indexed citations

Nowak, Anna K., Wee Loong Chin, Synat Keam, & Alistair Cook. (2021). Immune checkpoint inhibitor therapy for malignant pleural mesothelioma. Lung Cancer. 162. 162–168. 6 indexed citations

Cook, Alistair, Michael Millward, Alison M. McDonnell, et al.. (2021). Changes in expression of PD-L1 on peripheral T cells in patients with melanoma and lung cancer treated with PD-1 inhibitors. Scientific Reports. 11(1). 15312–15312. 16 indexed citations

Zemek, Rachael M., Wee Loong Chin, Anna K. Nowak, et al.. (2020). Sensitizing the Tumor Microenvironment to Immune Checkpoint Therapy. Frontiers in Immunology. 11. 223–223. 53 indexed citations

Chin, Wee Loong, Rachael M. Zemek, W. Joost Lesterhuis, & Timo Lassmann. (2019). Functional genomics in cancer immunotherapy: computational approaches for biomarker and drug discovery. Molecular Systems Design & Engineering. 4(4). 689–700. 3 indexed citations

Lam, Wei‐Sen, Jenette Creaney, Fred K. Chen, et al.. (2019). A phase II trial of single oral FGF inhibitor, AZD4547, as second or third line therapy in malignant pleural mesothelioma. Lung Cancer. 140. 87–92. 27 indexed citations

Chin, Wee Loong, et al.. (2010). Characterising the Binding Specificities of the Subunits Associated with the KMT2/Set1 Histone Lysine Methyltransferase. Journal of Molecular Biology. 398(4). 481–488. 12 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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