Jianjun Cheng
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Organic Chemistry top 10%
- Clinical Psychology top 10%
- Co-authors
- Wenzhong YanLiang TanSheng WangJohn D. McCorvySuwen ZhaoLuyu FanZhangcheng ChenAlan P. Kozikowski
- Topics
- Receptor Mechanisms and Signaling (19 papers)Neurotransmitter Receptor Influence on Behavior (16 papers)Neuropeptides and Animal Physiology (9 papers)
- Journals
- ScienceCellChemical Reviews
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jianjun Cheng
47 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 890
- Cellular and Molecular Neuroscience 606
- Cognitive Neuroscience 333
- Organic Chemistry 286
- Clinical Psychology 189
Countries citing papers authored by Jianjun Cheng
This map shows the geographic impact of Jianjun Cheng'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 Jianjun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Cheng more than expected).
Fields of papers citing papers by Jianjun Cheng
This network shows the impact of papers produced by Jianjun Cheng. 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 Jianjun Cheng. The network helps show where Jianjun Cheng may publish in the future.
Co-authorship network of co-authors of Jianjun Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Cheng. A scholar is included among the top collaborators of Jianjun Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianjun Cheng. Jianjun Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | Structure-based discovery of nonhallucinogenic psychedelic analogsbreakdown → | 200 |
| 6 | 15 | |
| 7 | 11 | |
| 8 | 21 | |
| 9 | 43 | |
| 10 | 16 | |
| 11 | 75 | |
| 12 | 9 | |
| 13 | Molecular compositions and structural properties of proteins in millet. | 3 |
| 14 | 27 | |
| 15 | 14 | |
| 16 | 12 | |
| 17 | 15 | |
| 18 | 27 | |
| 19 | 327 | |
| 20 | Study on the enzyme browning mechanism of Pingguo pear and Duck pear | 1 |
About Jianjun Cheng
Jianjun Cheng is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Neuropeptides and Animal Physiology (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (606 citations), Biological Psychiatry (53 citations) and Cognitive Neuroscience (333 citations). Jianjun Cheng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Wenzhong Yan, Liang Tan, Sheng Wang, John D. McCorvy, Suwen Zhao, Luyu Fan, Zhangcheng Chen, Alan P. Kozikowski, Yiran Wu and Zhipu Luo. Their work appears in journals such as Science, Cell and Chemical Reviews.
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.