Kai Chang

2.9k citations
12 papers · 282 indexed · h-index 8
Topics
Genetics, Aging, and Longevity in Model Organisms (3 papers)Neurobiology and Insect Physiology Research (3 papers)Developmental Biology and Gene Regulation (3 papers)

In The Last Decade

Kai Chang

11 papers receiving 279 citations

Peers

Kai Chang
Comparison fields: 5 of 52
  • Molecular Biology 187
  • Cellular and Molecular Neuroscience 67
  • Cell Biology 57
  • Aging 50
  • Epidemiology 35
Replace Christian Covill‐Cooke with:
Christian Covill‐Cooke United Kingdom
Susan Klinedinst United States
Elke Vermassen Belgium
Krzysztof Drabikowski Poland
Sushil Devkota South Korea
SoRi Jang United States
Mayuko Nishimura Japan
Neale Harrison United Kingdom
Marcel Tiebe Germany
Mariam Orme United Kingdom
Kai Chang relative to Christian Covill‐Cooke United Kingdom Christian Covill‐Cooke's profile →
Citations per field
00.5×1.5×1.9×
Christian Covill‐Cooke · 1×
Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 3
2 3
3 11
4 28
5 60
6 47
7 26
8 19
9 2
10 44
11 39
12
Cáncer de mama bilateral en el Hospital Universitario “Comandante Manuel Fajardo”, 1982-2003
0

About Kai Chang

Kai Chang is a scholar working on Aging, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 282 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Aging (50 citations), Cellular and Molecular Neuroscience (67 citations) and Cell Biology (57 citations). Kai Chang has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Hongyan Wang, Cheng Wang, Hua Bai, Ting Miao, Kerui Huang, Mithilesh Mishra, Yinyi Huang, Ventris M. D’souza, Ping Kang and Mohan K. Balasubramanian. Their work appears in journals such as Nature Communications, Development and Scientific Reports.

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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