Kah-Chung Leong
- Social Psychology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Behavioral Neuroscience top 2%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Mark G. PackardCarmela M. ReichelJarid GoodmanShannon M. GheeRonald E. SeeHoward C. BeckerCourtney KingStewart S. Cox
- Topics
- Neuroendocrine regulation and behavior (17 papers)Stress Responses and Cortisol (14 papers)Memory and Neural Mechanisms (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesNeuroscience
- Partner nations
- United States
In The Last Decade
Kah-Chung Leong
23 papers receiving 667 citations
Peers
Comparison fields: 5 of 61
- Social Psychology 323
- Cellular and Molecular Neuroscience 317
- Cognitive Neuroscience 250
- Behavioral Neuroscience 235
- Endocrine and Autonomic Systems 149
Countries citing papers authored by Kah-Chung Leong
This map shows the geographic impact of Kah-Chung Leong'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 Kah-Chung Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kah-Chung Leong more than expected).
Fields of papers citing papers by Kah-Chung Leong
This network shows the impact of papers produced by Kah-Chung Leong. 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 Kah-Chung Leong. The network helps show where Kah-Chung Leong may publish in the future.
Co-authorship network of co-authors of Kah-Chung Leong
This figure shows the co-authorship network connecting the top 25 collaborators of Kah-Chung Leong. A scholar is included among the top collaborators of Kah-Chung Leong 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 Kah-Chung Leong. Kah-Chung Leong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 60 | |
| 8 | 58 | |
| 9 | 43 | |
| 10 | 42 | |
| 11 | 31 | |
| 12 | 29 | |
| 13 | 24 | |
| 14 | 24 | |
| 15 | 25 | |
| 16 | 21 | |
| 17 | 26 | |
| 18 | 52 | |
| 19 | 33 | |
| 20 | 76 |
About Kah-Chung Leong
Kah-Chung Leong is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Social Psychology, having authored 26 papers that have together received 672 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (17 papers), Stress Responses and Cortisol (14 papers) and Memory and Neural Mechanisms (11 papers). The work is most often cited by research in Behavioral Neuroscience (235 citations), Endocrine and Autonomic Systems (149 citations) and Cellular and Molecular Neuroscience (317 citations). Kah-Chung Leong has collaborated with scholars based in United States. Frequent co-authors include Mark G. Packard, Carmela M. Reichel, Jarid Goodman, Shannon M. Ghee, Ronald E. See, Howard C. Becker, Courtney King, Stewart S. Cox, Luyi Zhou and M.G. Packard. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Neuroscience.
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.