Kai Chang
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- Neuroscience and Neuropharmacology Research 16
- Photoreceptor and optogenetics research 2
- Developmental Neuroscience top 5%
- Cell Biology top 5%
- Biotechnology top 5%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 6
- Ion channel regulation and function 5
- Glycosylation and Glycoproteins Research 2
- Lipid Membrane Structure and Behavior 2
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- Monoclonal and Polyclonal Antibodies Research 5
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- Bacteriophages and microbial interactions 2
- Co-authors
- Robert J. WentholdIra PastanMark C. WillinghamKate PrybylowskiStefano ViciniNathalie SansRonald S. PetraliaYaxian Wang
- Journals
- Journal of Neuroscience (4 papers)International Journal of Cancer (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Kai Chang
25 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 991
- Developmental Neuroscience 97
- Cell Biology 303
- Biotechnology 124
- Molecular Biology 969
Countries citing papers authored by Kai Chang
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
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
The 25 scholars most cited alongside Kai Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 33 | |
| 2 | The expression and clinical significance of Treg cells in chronic myelocytic leukemia | 2017 | 1 |
| 3 | 2016 | 6 | |
| 4 | 2011 | 11 | |
| 5 | 2011 | 73 | |
| 6 | 2009 | 12 | |
| 7 | 2009 | 41 | |
| 8 | 2008 | 2 | |
| 9 | 2008 | 50 | |
| 10 | 2008 | 44 | |
| 11 | 2006 | 101 | |
| 12 | 2005 | 312 | |
| 13 | 2004 | 16 | |
| 14 | 2003 | 248 | |
| 15 | 1997 | 23 | |
| 16 | 1997 | 13 | |
| 17 | 1994 | 43 | |
| 18 | 1992 | 57 | |
| 19 | 1992 | 137 | |
| 20 | 1992 | 227 |
About Kai Chang
Kai Chang is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Developmental Neuroscience, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (6 papers), Ion channel regulation and function (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (2 papers), Bacteriophages and microbial interactions (2 papers), Photoreceptor and optogenetics research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (991 citations), Developmental Neuroscience (97 citations) and Cell Biology (303 citations). Kai Chang has collaborated with scholars based in United States, Australia and South Korea. Frequent 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. Their work appears in journals such as Journal of Neuroscience, International Journal of Cancer, Journal of Biological Chemistry, Channels and FEBS Letters.
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.