Kai Chang

2.4k total citations
25 papers, 1.9k citations indexed

About

Kai Chang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kai Chang has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kai Chang's work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (6 papers) and Ion channel regulation and function (5 papers). Kai Chang is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (6 papers) and Ion channel regulation and function (5 papers). Kai Chang collaborates with scholars based in United States, Australia and South Korea. Kai Chang's co-authors include Robert J. Wenthold, Ira Pastan, Mark C. Willingham, Kate Prybylowski, Stefano Vicini, Nathalie Sans, Ronald S. Petralia, Yaxian Wang, Lee H. Pai and Changyu Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Kai Chang

25 papers receiving 1.9k citations

Peers

Kai Chang

CMN

PRM

ONCOL

Corinna Klein Germany

Leslayann Schecterson United States

Marie-Catherine Tiveron France

Ralf S. Schmid United States

Sovann Kaing United States

Iris Killisch Germany

Eloı́sa Herrera Spain

Michele H. Jacob United States

Enrique Escandón United States

Yiai Tong Canada

Corinna Klein Germany

Kai Chang

731 ×0.7

CMN

1.4k ×1.4

188 ×0.5

PRM

270 ×0.9

798 ×4.0

ONCOL

Citations per year, relative to Kai Chang Kai Chang (= 1×) peers Corinna Klein

Countries citing papers authored by Kai Chang

Since Specialization

Citations

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

Fields of papers citing papers by Kai Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Suh, Young Ho, Kai Chang, & Katherine W. Roche. (2018). Metabotropic glutamate receptor trafficking. Molecular and Cellular Neuroscience. 91. 10–24. 33 indexed citations

Cheng, Yi, et al.. (2017). The expression and clinical significance of Treg cells in chronic myelocytic leukemia. Biomedical Research-tokyo. 28(21). 9188–9192. 1 indexed citations

Chang, Kai & Katherine W. Roche. (2016). Structural and molecular determinants regulating mGluR5 surface expression. Neuropharmacology. 115. 10–19. 6 indexed citations

Seabold, Gail K., Ronald S. Petralia, Kai Chang, et al.. (2011). Dileucine and PDZ-binding Motifs Mediate Synaptic Adhesion-like Molecule 1 (SALM1) Trafficking in Hippocampal Neurons. Journal of Biological Chemistry. 287(7). 4470–4484. 11 indexed citations

Choi, Kyu Yeong, Kai Chang, James Pickel, John D. Badger, & Katherine W. Roche. (2011). Expression of the metabotropic glutamate receptor 5 (mGluR5) induces melanoma in transgenic mice. Proceedings of the National Academy of Sciences. 108(37). 15219–15224. 73 indexed citations

Chang, Kai, et al.. (2009). Reticulon 3 is an interacting partner of the SALM family of adhesion molecules. Journal of Neuroscience Research. 88(2). 266–274. 12 indexed citations

Swanwick, Catherine Croft, et al.. (2009). NMDA receptors interact with flotillin‐1 and ‐2, lipid raft‐associated proteins. FEBS Letters. 583(8). 1226–1230. 41 indexed citations

Hořák, Martin, et al.. (2008). Role of the fourth membrane domain of the NR2B subunit in the assembly of the NMDA receptor. Channels. 2(3). 159–160. 2 indexed citations

Hořák, Martin, Kai Chang, & Robert J. Wenthold. (2008). Masking of the Endoplasmic Reticulum Retention Signals during Assembly of the NMDA Receptor. Journal of Neuroscience. 28(13). 3500–3509. 50 indexed citations

10.

Seabold, Gail K., Kai Chang, Changyu Wang, et al.. (2008). The SALM Family of Adhesion-like Molecules Forms Heteromeric and Homomeric Complexes. Journal of Biological Chemistry. 283(13). 8395–8405. 44 indexed citations

11.

Wang, Changyu, Kai Chang, Ronald S. Petralia, et al.. (2006). A Novel Family of Adhesion-Like Molecules That Interacts with the NMDA Receptor. Journal of Neuroscience. 26(8). 2174–2183. 101 indexed citations

12.

Prybylowski, Kate, et al.. (2005). The Synaptic Localization of NR2B-Containing NMDA Receptors Is Controlled by Interactions with PDZ Proteins and AP-2. Neuron. 47(6). 845–857. 312 indexed citations

13.

Petralia, Ronald S., Nathalie Sans, Ya‐Xian Wang, et al.. (2004). Loss of GLUR2 α‐amino‐3‐hydroxy‐5‐methyl‐4‐isoxazoleproprionic acid receptor subunit differentially affects remaining synaptic glutamate receptors in cerebellum and cochlear nuclei. European Journal of Neuroscience. 19(8). 2017–2029. 16 indexed citations

14.

Sans, Nathalie, Kate Prybylowski, Ronald S. Petralia, et al.. (2003). NMDA receptor trafficking through an interaction between PDZ proteins and the exocyst complex. Nature Cell Biology. 5(6). 520–530. 248 indexed citations

15.

Chowdhury, Partha S., Kai Chang, & I Pastan. (1997). Isolation of anti-mesothelin antibodies from a phage display library. Molecular Immunology. 34(1). 9–20. 23 indexed citations

16.

Brinkmann, Ulrich, Keith O. Webber, Angelina Di Carlo, et al.. (1997). Cloning and expression of the recombinant FAb fragment of monoclonal antibody K1 that reacts with mesothelin present on mesotheliomas and ovarian cancers. International Journal of Cancer. 71(4). 638–644. 13 indexed citations

17.

Chang, Kai & Ira Pastan. (1994). Molecular cloning and expression of a cDNA encoding a protein detected by the ki antibody from an ovarian carcinoma (OVCAR‐3) cell line. International Journal of Cancer. 57(1). 90–97. 43 indexed citations

18.

Chang, Kai, et al.. (1992). Frequent expression of the tumor antigen cak1 in squamous‐cell carcinomas. International Journal of Cancer. 51(4). 548–554. 57 indexed citations

19.

Chang, Kai, Lee H. Pai, Harvey I. Pass, et al.. (1992). Monoclonal Antibody K1 Reacts With Epithelial Mesothelioma but not With Lung Adenocarcinoma. The American Journal of Surgical Pathology. 16(3). 259–268. 137 indexed citations

20.

Chang, Kai, Ira Pastan, & Mark C. Willingham. (1992). Isolation and characterization of a monoclonal antibody, K1, reactive with ovarian cancers and normal mesothelium. International Journal of Cancer. 50(3). 373–381. 227 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.

Explore authors with similar magnitude of impact