Stephen E. Chang

16 papers receiving 322 citations

Peers

Stephen E. Chang
Comparison fields: 5 of 41
  • Behavioral Neuroscience 56
  • Biological Psychiatry 33
  • Cellular and Molecular Neuroscience 235
  • Cognitive Neuroscience 174
  • Social Psychology 81
Replace Céline Nicolas with:
Céline Nicolas France
Sybren F. de Kloet Netherlands
Andrew R. Abela Canada
Samantha J. Podurgiel United States
Anna Lei Italy
Nancy R. Mack United States
Victor Mathis France
Mickaël Puaud United Kingdom
Evan E. Hart United States
Stephen E. Chang relative to Céline Nicolas France Céline Nicolas's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Stephen E. Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen E. Chang Line = papers co-authored together Stephen E. Chang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201257
2 201551
3 201532
4 201229
5 201327
6 201626
7 201721
8 201216
9 201414
10 201814
11 202111
12 202110
13 20129
14 20224
15 20242
16 20212

About Stephen E. Chang

Stephen E. Chang is a scholar working on Cellular and Molecular Neuroscience, Social Psychology, Cognitive Neuroscience, Behavioral Neuroscience and Molecular Biology, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Neuroendocrine regulation and behavior (7 papers), Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Stress Responses and Cortisol (4 papers), Receptor Mechanisms and Signaling (2 papers), Attention Deficit Hyperactivity Disorder (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Behavioral Neuroscience (56 citations), Biological Psychiatry (33 citations), Cellular and Molecular Neuroscience (235 citations), Cognitive Neuroscience (174 citations) and Social Psychology (81 citations). Stephen E. Chang has collaborated with scholars based in United States. Frequent co-authors include Peter C. Holland, Daniel S. Wheeler, Kyle S. Smith, Travis P. Todd, David J. Bucci, Hermes H. Yeh, Pamela W. L. Yeh, Shelly B. Flagel, Paolo Campus and Michael A. McDannald. Their work appears in journals such as Neurobiology of Learning and Memory, Behavioural Brain Research, Psychopharmacology, Behavioral Neuroscience and Journal of the American Association for Laboratory Animal Science.

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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