Pei-Feng Cheng
- Molecular Biology top 10%
- Genetics top 10%
- Immunology
- Oncology
- Cell Biology
- Co-authors
- Harold WeintraubRobert L. DavisAndrew B. LassarYuan ZhuangRobert N. EisenmanChul Geun KimLi ZhaoStephen H. Bartelmez
- Topics
- Muscle Physiology and Disorders (3 papers)Asphalt Pavement Performance Evaluation (3 papers)Infrastructure Maintenance and Monitoring (3 papers)
- Cited by
- Molecular BiologyAgingImmunology
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Pei-Feng Cheng
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 963
- Genetics 190
- Immunology 190
- Oncology 107
- Cell Biology 88
Countries citing papers authored by Pei-Feng Cheng
This map shows the geographic impact of Pei-Feng 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 Pei-Feng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Feng Cheng more than expected).
Fields of papers citing papers by Pei-Feng Cheng
This network shows the impact of papers produced by Pei-Feng 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 Pei-Feng Cheng. The network helps show where Pei-Feng Cheng may publish in the future.
Co-authorship network of co-authors of Pei-Feng Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Feng Cheng. A scholar is included among the top collaborators of Pei-Feng 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 Pei-Feng Cheng. Pei-Feng 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 | Noncoding RNAs in sepsis-associated acute liver injury: Roles, mechanisms, and therapeutic applicationsbreakdown → | 18 |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Enhancing the interfacial compatibility and self-healing performance of microbial mortars by nano-SiO2-modified basalt fibersbreakdown → | 52 |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 51 | |
| 12 | 16 | |
| 13 | 34 | |
| 14 | 40 | |
| 15 | 273 | |
| 16 | 55 | |
| 17 | The MyoD DNA binding domain contains a recognition code for muscle-specific gene activationbreakdown → | 714 |
About Pei-Feng Cheng
Pei-Feng Cheng is a scholar working on Genetics, Civil and Structural Engineering and Biotechnology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Asphalt Pavement Performance Evaluation (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Molecular Biology (963 citations), Aging (21 citations) and Immunology (190 citations). Pei-Feng Cheng has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Harold Weintraub, Robert L. Davis, Andrew B. Lassar, Yuan Zhuang, Robert N. Eisenman, Chul Geun Kim, Li Zhao, Stephen H. Bartelmez, Mark Groudine and Cen Liu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.
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.