Chi Ching Goh

4.0k total citations
37 papers, 2.2k citations indexed

About

Chi Ching Goh is a scholar working on Biomedical Engineering, Materials Chemistry and Immunology. According to data from OpenAlex, Chi Ching Goh has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 17 papers in Materials Chemistry and 9 papers in Immunology. Recurrent topics in Chi Ching Goh's work include Luminescence and Fluorescent Materials (15 papers), Nanoplatforms for cancer theranostics (14 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Chi Ching Goh is often cited by papers focused on Luminescence and Fluorescent Materials (15 papers), Nanoplatforms for cancer theranostics (14 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Chi Ching Goh collaborates with scholars based in Singapore, Hong Kong and China. Chi Ching Goh's co-authors include Lai Guan Ng, Bin Liu, Ben Zhong Tang, Zujin Zhao, Guangxue Feng, Shaowei Wang, Jie Liu, Junlong Geng, Wenbo Wu and Purnima Naresh Manghnani and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Chi Ching Goh

37 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi Ching Goh Singapore 24 1.3k 1.1k 546 399 278 37 2.2k
Zhihe Liu China 30 1.3k 1.0× 1.1k 1.0× 789 1.4× 177 0.4× 169 0.6× 66 2.7k
Alexeï Grichine France 32 1.3k 1.0× 631 0.6× 862 1.6× 255 0.6× 219 0.8× 75 3.0k
Xing Guo China 24 873 0.7× 618 0.6× 700 1.3× 237 0.6× 123 0.4× 89 2.0k
Qiong Yang China 22 1.6k 1.2× 1.1k 1.1× 882 1.6× 428 1.1× 366 1.3× 57 3.0k
Yukun Duan Singapore 28 1.9k 1.5× 2.3k 2.1× 819 1.5× 340 0.9× 523 1.9× 37 3.3k
Benhao Li China 27 2.6k 2.0× 2.9k 2.7× 822 1.5× 359 0.9× 364 1.3× 39 4.0k
Heqi Gao China 26 2.1k 1.6× 1.4k 1.3× 741 1.4× 718 1.8× 251 0.9× 46 3.1k
Haibin Shi China 25 657 0.5× 1.3k 1.2× 758 1.4× 152 0.4× 237 0.9× 76 2.2k
Olena Taratula United States 23 529 0.4× 772 0.7× 477 0.9× 218 0.5× 222 0.8× 45 1.9k
Changhuo Xu China 16 732 0.6× 1.1k 1.0× 440 0.8× 176 0.4× 169 0.6× 31 1.6k

Countries citing papers authored by Chi Ching Goh

Since Specialization
Citations

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

Fields of papers citing papers by Chi Ching Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Ching Goh. 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 Chi Ching Goh. The network helps show where Chi Ching Goh may publish in the future.

Co-authorship network of co-authors of Chi Ching Goh

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

All Works

20 of 20 papers shown
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Cheu, Jacinth Wing‐Sum, Derek Lee, Qidong Li, et al.. (2023). Ferroptosis Suppressor Protein 1 Inhibition Promotes Tumor Ferroptosis and Anti-tumor Immune Responses in Liver Cancer. Cellular and Molecular Gastroenterology and Hepatology. 16(1). 133–159. 80 indexed citations
3.
Yuen, Vincent Wai‐Hin, David Kung‐Chun Chiu, Cheuk‐Ting Law, et al.. (2022). Using mouse liver cancer models based on somatic genome editing to predict immune checkpoint inhibitor responses. Journal of Hepatology. 78(2). 376–389. 42 indexed citations
4.
Zhang, Misty Shuo, Vincent Wai‐Hin Yuen, David Kung‐Chun Chiu, et al.. (2022). Hypoxia-induced macropinocytosis represents a metabolic route for liver cancer. Nature Communications. 13(1). 954–954. 77 indexed citations
5.
Bao, Macus Hao‐Ran, Chunxue Yang, Aki Pui‐Wah Tse, et al.. (2021). Genome-wide CRISPR-Cas9 knockout library screening identified PTPMT1 in cardiolipin synthesis is crucial to survival in hypoxia in liver cancer. Cell Reports. 34(4). 108676–108676. 44 indexed citations
6.
Wang, Shaowei, Wenbo Wu, Purnima Naresh Manghnani, et al.. (2019). Polymerization-Enhanced Two-Photon Photosensitization for Precise Photodynamic Therapy. ACS Nano. 13(3). 3095–3105. 201 indexed citations
7.
Rathore, Abhay P. S., Chinmay Kumar Mantri, Ayesa Syenina, et al.. (2019). Dengue virus–elicited tryptase induces endothelial permeability and shock. Journal of Clinical Investigation. 129(10). 4180–4193. 64 indexed citations
8.
Feng, Guangxue, Duo Mao, Jie Liu, et al.. (2018). Polymeric nanorods with aggregation-induced emission characteristics for enhanced cancer targeting and imaging. Nanoscale. 10(13). 5869–5874. 29 indexed citations
9.
Li, J, Chi Ching Goh, & Lai Guan Ng. (2018). Imaging of Inflammatory Responses in the Mouse Ear Skin. Methods in molecular biology. 1763. 87–107. 4 indexed citations
10.
Tan, Yingrou, J Li, Chi Ching Goh, et al.. (2018). Streamlining volumetric multi-channel image cytometry using hue-saturation-brightness-based surface creation. Communications Biology. 1(1). 136–136. 7 indexed citations
11.
Chong, Shu Zhen, Maximilien Evrard, Chi Ching Goh, & Lai Guan Ng. (2017). Illuminating the covert mission of mononuclear phagocytes in their regional niches. Current Opinion in Immunology. 50. 94–101. 7 indexed citations
12.
Feng, Guangxue, J Li, Carla Claser, et al.. (2017). Dual modal ultra-bright nanodots with aggregation-induced emission and gadolinium-chelation for vascular integrity and leakage detection. Biomaterials. 152. 77–85. 38 indexed citations
13.
Goh, Chi Ching, J Li, David L. Becker, et al.. (2016). Inducing Ischemia-reperfusion Injury in the Mouse Ear Skin for Intravital Multiphoton Imaging of Immune Responses. Journal of Visualized Experiments. 12 indexed citations
14.
Geng, Junlong, Chi Ching Goh, Wei Qin, et al.. (2015). Silica shelled and block copolymer encapsulated red-emissive AIE nanoparticles with 50% quantum yield for two-photon excited vascular imaging. Chemical Communications. 51(69). 13416–13419. 41 indexed citations
15.
Mu, Jing, Fang Liu, Meng Shi, et al.. (2014). A Small‐Molecule FRET Reporter for the Real‐Time Visualization of Cell‐Surface Proteolytic Enzyme Functions. Angewandte Chemie International Edition. 53(52). 14357–14362. 66 indexed citations
16.
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Bakočević, Nadja, Carla Claser, Soichiro Yoshikawa, et al.. (2014). CD 41 is a reliable identification and activation marker for murine basophils in the steady state and during helminth and malarial infections. European Journal of Immunology. 44(6). 1823–1834. 12 indexed citations
18.
Goh, Chi Ching, et al.. (2013). Cerebellar Output in Zebrafish: An Analysis of Spatial Patterns and Topography in Eurydendroid Cell Projections. Frontiers in Neural Circuits. 7. 53–53. 62 indexed citations
19.
Li, J, Chi Ching Goh, Jo Keeble, et al.. (2012). Intravital multiphoton imaging of immune responses in the mouse ear skin. Nature Protocols. 7(2). 221–234. 145 indexed citations
20.

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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