Wanling Peng
Impact in
- Microbiology top 5%
- Biological Psychiatry top 10%
Papers in
-
- CRISPR and Genetic Engineering 3
- Receptor Mechanisms and Signaling 2
- Phytochemical Studies and Bioactivities 2
- Co-authors
- Min Xu (7 shared papers)Yulong Li (4 shared papers)Kun Song (3 shared papers)Siyu Zhang (4 shared papers)Zhaofa Wu (3 shared papers)Hubiao Chen (3 shared papers)Zhongzhen Zhao (3 shared papers)Tao Yi (3 shared papers)
- Journals
- Nature Neuroscience (2 papers)Cell Biochemistry and Biophysics (2 papers)Gene (1 paper)Nature Communications (1 paper)Cell Discovery (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wanling Peng
21 papers receiving 908 citations
Wanling Peng's Hit Papers
Peers
Comparison fields: 5 of 112
- Microbiology 30
- Biological Psychiatry 39
- Cellular and Molecular Neuroscience 273
- Endocrine and Autonomic Systems 94
- Biochemistry 66
Countries citing papers authored by Wanling Peng
This map shows the geographic impact of Wanling Peng'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 Wanling Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanling Peng more than expected).
Fields of papers citing papers by Wanling Peng
This network shows the impact of papers produced by Wanling Peng. 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 Wanling Peng. The network helps show where Wanling Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanling Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A genetically encoded sensor for measuring serotonin dynamics Hit paper breakdown → | 2021 | 184 |
| 2 | 2020 | 163 | |
| 3 | 2015 | 143 | |
| 4 | 2014 | 96 | |
| 5 | 2015 | 59 | |
| 6 | 2023 | 39 | |
| 7 | 2011 | 37 | |
| 8 | 2022 | 36 | |
| 9 | 2023 | 32 | |
| 10 | 2021 | 24 | |
| 11 | 2009 | 20 | |
| 12 | 2011 | 19 | |
| 13 | 2011 | 18 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 9 | |
| 16 | 2011 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2013 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Wanling Peng
Wanling Peng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 21 papers that have together received 922 indexed citations. Recurring topics across this work include Pregnancy and Medication Impact (5 papers), Pregnancy and preeclampsia studies (3 papers), CRISPR and Genetic Engineering (3 papers), Reproductive System and Pregnancy (3 papers), Sleep and Wakefulness Research (3 papers), Adenosine and Purinergic Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers) and Phytochemical Studies and Bioactivities (2 papers). The work is most often cited by research in Microbiology (30 citations), Biological Psychiatry (39 citations), Cellular and Molecular Neuroscience (273 citations), Endocrine and Autonomic Systems (94 citations) and Biochemistry (66 citations). Wanling Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Xu, Yulong Li, Kun Song, Siyu Zhang, Zhaofa Wu, Hubiao Chen, Zhongzhen Zhao, Tao Yi, Hongli Chen and Xi-Cheng He. Their work appears in journals such as Nature Neuroscience, Cell Biochemistry and Biophysics, Gene, Nature Communications and Cell Discovery.
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.