Stephen E. Chang
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 9
- Neuroscience and Neuropharmacology Research 4
-
- Memory and Neural Mechanisms 6
- Co-authors
- Peter C. Holland (5 shared papers)Kyle S. Smith (4 shared papers)Daniel S. Wheeler (4 shared papers)Travis P. Todd (3 shared papers)David J. Bucci (2 shared papers)Hermes H. Yeh (1 shared paper)Pamela W. L. Yeh (1 shared paper)Shelly B. Flagel (4 shared papers)
- Journals
- Neurobiology of Learning and Memory (3 papers)Psychopharmacology (2 papers)Behavioural Brain Research (2 papers)Learning & Memory (1 paper)Frontiers in Behavioral Neuroscience (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen E. Chang
16 papers receiving 336 citations
Peers
Comparison fields: 5 of 46
- Behavioral Neuroscience 53
- Biological Psychiatry 33
- Cellular and Molecular Neuroscience 236
- Cognitive Neuroscience 168
- Social Psychology 81
Countries citing papers authored by Stephen E. Chang
This map shows the geographic impact of Stephen E. 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 Stephen E. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Chang more than expected).
Fields of papers citing papers by Stephen E. Chang
This network shows the impact of papers produced by Stephen E. 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 Stephen E. Chang. The network helps show where Stephen E. Chang may publish in the future.
Co-authors
The 16 scholars most cited alongside Stephen E. 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 | 2012 | 58 | |
| 2 | 2015 | 53 | |
| 3 | 2016 | 49 | |
| 4 | 2015 | 33 | |
| 5 | 2017 | 29 | |
| 6 | 2012 | 29 | |
| 7 | 2013 | 27 | |
| 8 | 2012 | 16 | |
| 9 | 2014 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2012 | 9 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 2 |
About Stephen E. Chang
Stephen E. Chang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology, Molecular Biology and Behavioral Neuroscience, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroendocrine regulation and behavior (6 papers), Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (2 papers), Stress Responses and Cortisol (2 papers), Animal Ecology and Behavior Studies (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (53 citations), Biological Psychiatry (33 citations), Cellular and Molecular Neuroscience (236 citations), Cognitive Neuroscience (168 citations) and Social Psychology (81 citations). Stephen E. Chang has collaborated with scholars based in United States. Frequent co-authors include Peter C. Holland, Kyle S. Smith, Daniel S. Wheeler, Travis P. Todd, David J. Bucci, Hermes H. Yeh, Pamela W. L. Yeh, Shelly B. Flagel, Michael A. McDannald and Brittany N. Kuhn. Their work appears in journals such as Neurobiology of Learning and Memory, Psychopharmacology, Behavioural Brain Research, Learning & Memory and Frontiers in Behavioral 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.