Jie Cheng
- Molecular Biology top 5%
- Genetics top 5%
- Pharmacology top 0.5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Frank J. GonzalezWilliam B. GugginoKristopher W. KrauszXiaochao MaYatrik M. ShahHua WangGarry R. CuttingBruce A. Stanton
- Topics
- Cystic Fibrosis Research Advances (12 papers)Pharmacogenetics and Drug Metabolism (11 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Jie Cheng
126 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 1.4k
- Genetics 540
- Pharmacology 487
- Oncology 432
- Pulmonary and Respiratory Medicine 401
Countries citing papers authored by Jie Cheng
This map shows the geographic impact of Jie 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 Jie Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Cheng more than expected).
Fields of papers citing papers by Jie Cheng
This network shows the impact of papers produced by Jie 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 Jie Cheng. The network helps show where Jie Cheng may publish in the future.
Co-authorship network of co-authors of Jie Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Cheng. A scholar is included among the top collaborators of Jie 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 Jie Cheng. Jie 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 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | Abstract 17119: Substrate Stiffness Alters Human Induced Pluripotent Stem Cell-derived Cardiomyocyte Differentiation And Maturation | 2 |
| 16 | 37 | |
| 17 | Single-Cell Transcriptome Profiling of Human Stem Cell-Derived Retinal Ganglion Cells in a Dominant Optic Atrophy Model | 1 |
| 18 | 3 | |
| 19 | 29 | |
| 20 | A novel GJA8 mutation (p.I31T) causing autosomal dominant congenital cataract in a Chinese family. | 25 |
About Jie Cheng
Jie Cheng is a scholar working on Aging, Pharmacology and Genetics, having authored 131 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (12 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers). The work is most often cited by research in Pharmacology (487 citations), Molecular Biology (1.4k citations) and Genetics (540 citations). Jie Cheng has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Frank J. Gonzalez, William B. Guggino, Kristopher W. Krausz, Xiaochao Ma, Yatrik M. Shah, Hua Wang, Garry R. Cutting, Bruce A. Stanton, John Y.L. Chiang and Naoki Tanaka. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.