Zaijie Wang
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Receptor Mechanisms and Signaling 9
- Pharmacological Receptor Mechanisms and Effects 5
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- Neuropeptides and Animal Physiology 10
- Neuroscience and Neuropharmacology Research 3
- Neurobiology and Insect Physiology Research 1
- Co-authors
- Yu Zhang (1 shared paper)Richard A. Gemeinhart (1 shared paper)Wolfgang Sadée (9 shared papers)James Arden (4 shared papers)Veronica Segredo (3 shared papers)George R. Uhl (1 shared paper)Ichiro Sora (1 shared paper)Jelveh Lameh (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (1 paper)Life Sciences (1 paper)Advances in experimental medicine and biology (1 paper)FEBS Letters (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United States
In The Last Decade
Zaijie Wang
14 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 794
- Cancer Research 337
- Physiology 462
- Anesthesiology and Pain Medicine 94
- Molecular Biology 1.0k
Countries citing papers authored by Zaijie Wang
This map shows the geographic impact of Zaijie Wang'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 Zaijie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaijie Wang more than expected).
Fields of papers citing papers by Zaijie Wang
This network shows the impact of papers produced by Zaijie Wang. 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 Zaijie Wang. The network helps show where Zaijie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zaijie Wang, 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 | 2013 | 481 | |
| 2 | 1995 | 271 | |
| 3 | 2001 | 243 | |
| 4 | 1999 | 163 | |
| 5 | 1994 | 133 | |
| 6 | 1996 | 97 | |
| 7 | 1996 | 41 | |
| 8 | 2000 | 31 | |
| 9 | 1995 | 17 | |
| 10 | 1999 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 1994 | 7 | |
| 13 | 2016 | 5 | |
| 14 | 1994 | 1 |
About Zaijie Wang
Zaijie Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Neurology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (9 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Pain Mechanisms and Treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurobiology and Insect Physiology Research (1 paper), MicroRNA in disease regulation (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (794 citations), Cancer Research (337 citations), Physiology (462 citations), Anesthesiology and Pain Medicine (94 citations) and Molecular Biology (1.0k citations). Zaijie Wang has collaborated with scholars based in United States. Frequent co-authors include Yu Zhang, Richard A. Gemeinhart, Wolfgang Sadée, James Arden, Veronica Segredo, George R. Uhl, Ichiro Sora, Jelveh Lameh, Edward J. Bilsky and Frank Porreca. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Life Sciences, Advances in experimental medicine and biology, FEBS Letters and Journal of 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.