Chan Fong Chang

745 total citations
19 papers, 605 citations indexed

About

Chan Fong Chang is a scholar working on Physiology, Sensory Systems and Molecular Biology. According to data from OpenAlex, Chan Fong Chang has authored 19 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 10 papers in Sensory Systems and 7 papers in Molecular Biology. Recurrent topics in Chan Fong Chang's work include Calcium signaling and nucleotide metabolism (15 papers), Ion Channels and Receptors (10 papers) and Adenosine and Purinergic Signaling (5 papers). Chan Fong Chang is often cited by papers focused on Calcium signaling and nucleotide metabolism (15 papers), Ion Channels and Receptors (10 papers) and Adenosine and Purinergic Signaling (5 papers). Chan Fong Chang collaborates with scholars based in Singapore, United States and China. Chan Fong Chang's co-authors include M. Marlene Hosey, Eduardo Rı́os, Xiaolan Zhao, Tipu S. Puri, Roman Shirokov, Dandan Sun, Andy J. Chien, Hon Cheung Lee, Alamgir Hussain and Liling Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Chan Fong Chang

19 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan Fong Chang Singapore 13 376 225 147 144 108 19 605
Rita Padányi Hungary 16 470 1.3× 78 0.3× 71 0.5× 17 0.1× 77 0.7× 27 624
Sylwia Jones United Kingdom 6 289 0.8× 25 0.1× 143 1.0× 52 0.4× 29 0.3× 6 382
Ursula Brandt Germany 11 280 0.7× 30 0.1× 80 0.5× 83 0.6× 22 0.2× 11 506
Sen Ji China 15 506 1.3× 24 0.1× 216 1.5× 377 2.6× 15 0.1× 23 796
Aleksander Baldys United States 14 336 0.9× 20 0.1× 60 0.4× 38 0.3× 19 0.2× 17 534
Carmen Ludwig Germany 7 229 0.6× 64 0.3× 58 0.4× 18 0.1× 18 0.2× 8 422
Mireia Pérez-Verdaguer Spain 13 419 1.1× 14 0.1× 85 0.6× 154 1.1× 27 0.3× 18 520
Bruno Rinaldi France 11 689 1.8× 84 0.4× 83 0.6× 48 0.3× 5 0.0× 16 896
Udo Maier Germany 6 477 1.3× 19 0.1× 91 0.6× 58 0.4× 10 0.1× 8 572

Countries citing papers authored by Chan Fong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chan Fong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Fong Chang. 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 Chan Fong Chang. The network helps show where Chan Fong Chang may publish in the future.

Co-authorship network of co-authors of Chan Fong Chang

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

All Works

19 of 19 papers shown
1.
Chang, Chan Fong, Jingshu Meng, Fang Zhu, et al.. (2017). Expression of Nischarin negatively correlates with estrogen receptor and alters apoptosis, migration and invasion in human breast cancer. Biochemical and Biophysical Research Communications. 484(3). 536–542. 12 indexed citations
2.
Wu, Gang, Chan Fong Chang, Fang Zhu, et al.. (2015). Disulfiram inhibits TGF-β-induced epithelial-mesenchymal transition and stem-like features in breast cancer via ERK/NF-κB/Snail pathway. Oncotarget. 6(38). 40907–40919. 79 indexed citations
3.
Wong, Lee Lee, Daohai Zhang, Chan Fong Chang, & Evelyn SC Koay. (2010). Silencing of the PP2A catalytic subunit causes HER-2/neu positive breast cancer cells to undergo apoptosis. Experimental Cell Research. 316(20). 3387–3396. 14 indexed citations
4.
Bay, Boon‐Huat, et al.. (2005). Altered CD38 expression in thioacetamide‐induced rat model of liver cirrhosis. Liver International. 25(6). 1233–1242. 7 indexed citations
5.
Chang, Chan Fong, et al.. (2004). Expression and purification of the recombinant His-tagged GST-CD38 fusion protein using the baculovirus/insect cell expression system. Protein Expression and Purification. 40(2). 396–403. 6 indexed citations
6.
Liang, Fubo, Robert Z. Qi, & Chan Fong Chang. (2002). CD157 undergoes ligand-independent dimerization and colocalizes with caveolin in CHO and MCA102 fibroblasts. Cellular Signalling. 14(11). 933–939. 7 indexed citations
7.
Chang, Chan Fong, et al.. (2002). Identification and characterization of nuclear CD38 in the rat spleen. The International Journal of Biochemistry & Cell Biology. 34(1). 43–54. 14 indexed citations
8.
Chang, Chan Fong, et al.. (2001). Signalling of GPI‐anchored CD157 via focal adhesion kinase in MCA102 fibroblasts. FEBS Letters. 506(3). 207–210. 19 indexed citations
9.
Chang, Chan Fong, et al.. (2000). Localization of Plasma Membrane CD38 Is Domain Specific in Rat Hepatocyte. Archives of Biochemistry and Biophysics. 373(1). 35–43. 17 indexed citations
10.
Han, Myung‐Kwan, Jin Bong Park, Soo‐Wan Chae, et al.. (2000). Localization of the Cyclic ADP-ribose-dependent Calcium Signaling Pathway in Hepatocyte Nucleus. Journal of Biological Chemistry. 275(32). 24807–24817. 67 indexed citations
11.
Hussain, Alamgir, Hon Cheung Lee, & Chan Fong Chang. (2000). Modulation of CD157 expression in multi-lineage myeloid differentiation of promyelocytic cell lines. European Journal of Cell Biology. 79(10). 697–706. 10 indexed citations
12.
Hussain, Alamgir & Chan Fong Chang. (1999). Novel Kinetics, Behaviour and Cell-Type Specificity of CD157-Mediated Tyrosine Kinase Signalling. Cellular Signalling. 11(12). 891–897. 13 indexed citations
13.
Chang, Chan Fong, et al.. (1999). NADP+-Dependent Internalization of Recombinant CD38 in CHO Cells. Archives of Biochemistry and Biophysics. 363(2). 267–272. 10 indexed citations
14.
Chang, Chan Fong, et al.. (1999). Characterization and localization of CD38 in the vertebrate eye. Brain Research. 821(1). 17–25. 36 indexed citations
15.
Chang, Chan Fong, et al.. (1998). Purification and characterization of CD38/ADP‐ribosyl cyclase from rat lung. IUBMB Life. 44(4). 841–850. 12 indexed citations
16.
Chang, Chan Fong, et al.. (1998). Functional role of glycosylation on the recombinant CD38/ADP-ribosyl cyclase in CHO cells. The International Journal of Biochemistry & Cell Biology. 30(9). 1011–1018. 7 indexed citations
17.
Hussain, Alamgir, Hon Cheung Lee, & Chan Fong Chang. (1998). Functional Expression of Secreted Mouse BST-1 in Yeast. Protein Expression and Purification. 12(1). 133–137. 34 indexed citations
18.
Wong, Ee Tsin, et al.. (1998). Differential oligomerization of membrane‐bound CD38/ADP‐ribosyl cyclase in porcine heart microsomes. IUBMB Life. 44(6). 1225–1233. 18 indexed citations
19.
Chien, Andy J., Xiaolan Zhao, Roman Shirokov, et al.. (1995). Roles of a Membrane-localized βSubunit in the Formation and Targeting of Functional L-type Ca2+ Channels. Journal of Biological Chemistry. 270(50). 30036–30044. 223 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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