Changjun Shi

1.5k citations
11 papers · 1.2k · h-index 7

Impact in

Papers in

Changjun Shi

11 papers receiving 1.2k citations

Peers

Changjun Shi
Comparison fields: 5 of 72
  • Behavioral Neuroscience 360
  • Cognitive Neuroscience 681
  • Cellular and Molecular Neuroscience 572
  • Endocrine and Autonomic Systems 120
  • Biological Psychiatry 40
Replace Tammy Hatfield with:
Tammy Hatfield United States
Jörg Lesting Germany
Thenkanidiyoor Rao Laxmi India
Ruud N.J.M.A. Joosten Netherlands
Munsoo Kim South Korea
Pamela P. Auerbach United States
Tomasz Werka Poland
Beatrice M. De United States
Maric Tse Canada
Jenna A. McHenry United States
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Citations per field
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Tammy Hatfield · 1×
Citations per year

Countries citing papers authored by Changjun Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

11 of 11 papers shown
#Work
1 1999278
2 1999255
3 1999247
4 1999226
5 2001135
6 200042
7 199311
8 20225
9 20043
10 20222
11
Chinese character operating system of traditional Chinese medicine and pharmacology (TCMP).
19951

About Changjun Shi

Changjun Shi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience, Genetics and Complementary and alternative medicine, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Stress Responses and Cortisol (3 papers), Glioma Diagnosis and Treatment (2 papers), Microtubule and mitosis dynamics (1 paper), Sleep and Wakefulness Research (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (360 citations), Cognitive Neuroscience (681 citations), Cellular and Molecular Neuroscience (572 citations), Endocrine and Autonomic Systems (120 citations) and Biological Psychiatry (40 citations). Changjun Shi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael E Davis, Martin D. Cassell, Lorin J. Freedman, Michael E. Davis, Alexander Joseph McDonald, Michael John Davis, Michael L. Davis, Yanming Chen, Jun Dong and Liping Wang. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Neuroscience, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Current Biology 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.

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