Pengfei Cheng
- Biological Psychiatry top 0.2%
- Pharmacology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Electrical and Electronic Engineering top 10%
- Co-authors
- Megumi AdachiLisa M. MonteggiaAnita E. AutryE. D. NosyrevaElisa S. NaEge T. KavalaliR. Nick HoganChristopher J. Gilpin
- Topics
- Advanced Battery Materials and Technologies (6 papers)Advancements in Battery Materials (6 papers)Tryptophan and brain disorders (6 papers)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Pengfei Cheng
38 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Biological Psychiatry 1.0k
- Pharmacology 1.0k
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 604
- Electrical and Electronic Engineering 593
Countries citing papers authored by Pengfei Cheng
This map shows the geographic impact of Pengfei 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 Pengfei Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Cheng more than expected).
Fields of papers citing papers by Pengfei Cheng
This network shows the impact of papers produced by Pengfei 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 Pengfei Cheng. The network helps show where Pengfei Cheng may publish in the future.
Co-authorship network of co-authors of Pengfei Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Cheng. A scholar is included among the top collaborators of Pengfei 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 Pengfei Cheng. Pengfei 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 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 35 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 36 | |
| 10 | 44 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | 21 | |
| 14 | 35 | |
| 15 | 17 | |
| 16 | 53 | |
| 17 | 81 | |
| 18 | NMDA receptor blockade at rest triggers rapid behavioural antidepressant responsesbreakdown → | 1530 |
| 19 | 126 | |
| 20 | Autophagy Gene-Dependent Clearance of Apoptotic Cells during Embryonic Developmentbreakdown → | 515 |
About Pengfei Cheng
Pengfei Cheng is a scholar working on Biological Psychiatry, Neurology and Behavioral Neuroscience, having authored 39 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (6 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Biological Psychiatry (1.0k citations), Behavioral Neuroscience (395 citations) and Pharmacology (1.0k citations). Pengfei Cheng has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Megumi Adachi, Lisa M. Monteggia, Anita E. Autry, E. D. Nosyreva, Elisa S. Na, Ege T. Kavalali, R. Nick Hogan, Christopher J. Gilpin, Xueping Qu and Katherine Luby‐Phelps. Their work appears in journals such as Nature, Cell and Angewandte Chemie International Edition.
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.