Changjun Shi
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
Papers in
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- Stress Responses and Cortisol 3
-
- Neuroscience and Neuropharmacology Research 6
- Neurotransmitter Receptor Influence on Behavior 3
- Co-authors
- Michael DavisMartin D. CassellLorin J. FreedmanMichael J. DavisAlexander J. McDonaldQingxin ZhuJai‐Sing YangRong Rong
- Journals
- Annals of the New York Academy of Sciences (3 papers)Journal of Neuroscience (2 papers)Current Biology (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)Journal of Neuroscience Methods (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Changjun Shi
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Behavioral Neuroscience 365
- Cognitive Neuroscience 664
- Cellular and Molecular Neuroscience 555
- Endocrine and Autonomic Systems 120
- Biological Psychiatry 38
Countries citing papers authored by Changjun Shi
This map shows the geographic impact of Changjun Shi'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 Changjun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjun Shi more than expected).
Fields of papers citing papers by Changjun Shi
This network shows the impact of papers produced by Changjun Shi. 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 Changjun Shi. The network helps show where Changjun Shi may publish in the future.
Co-authors
The 22 scholars most cited alongside Changjun Shi, 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 | 2022 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2004 | 3 | |
| 4 | 2001 | 118 | |
| 5 | 2000 | 38 | |
| 6 | 1999 | 232 | |
| 7 | 1999 | 256 | |
| 8 | 1999 | 240 | |
| 9 | 1999 | 213 | |
| 10 | Chinese character operating system of traditional Chinese medicine and pharmacology (TCMP). | 1995 | 1 |
| 11 | 1993 | 11 |
About Changjun Shi
Changjun Shi is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Complementary and alternative medicine, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (5 papers), Stress Responses and Cortisol (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Glioma Diagnosis and Treatment (2 papers), Neurological disorders and treatments (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Behavioral Neuroscience (365 citations), Cognitive Neuroscience (664 citations), Cellular and Molecular Neuroscience (555 citations), Endocrine and Autonomic Systems (120 citations) and Biological Psychiatry (38 citations). Changjun Shi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael Davis, Martin D. Cassell, Lorin J. Freedman, Michael Davis, Michael J. Davis, Alexander J. McDonald, Michael Davis, Qingxin Zhu, Jai‐Sing Yang and Rong Rong. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Neuroscience, Current Biology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Journal of Neuroscience Methods.
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.