Ming Zheng
- Molecular Biology top 2%
- Genetics top 2%
- Plant Science top 5%
- Cell Biology top 5%
- Nutrition and Dietetics top 5%
- Co-authors
- Gisela StorzFredrik ÅslundRobert A. LaRossaXunde WangJon BeckwithDana R. SmulskiLori J. TempletonThomas D. Schneider
- Topics
- Bacterial Genetics and Biotechnology (5 papers)Gear and Bearing Dynamics Analysis (4 papers)Redox biology and oxidative stress (4 papers)
- Partner nations
- ChinaUnited StatesCameroon
In The Last Decade
Ming Zheng
34 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 3.4k
- Genetics 925
- Plant Science 401
- Cell Biology 290
- Nutrition and Dietetics 287
Countries citing papers authored by Ming Zheng
This map shows the geographic impact of Ming Zheng'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 Ming Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zheng more than expected).
Fields of papers citing papers by Ming Zheng
This network shows the impact of papers produced by Ming Zheng. 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 Ming Zheng. The network helps show where Ming Zheng may publish in the future.
Co-authorship network of co-authors of Ming Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zheng. A scholar is included among the top collaborators of Ming Zheng 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 Ming Zheng. Ming Zheng 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 | 9 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Transcription factors interact with RNA to regulate genesbreakdown → | 123 |
| 6 | 15 | |
| 7 | 33 | |
| 8 | 7 | |
| 9 | RNA-Mediated Feedback Control of Transcriptional Condensatesbreakdown → | 365 |
| 10 | 4 | |
| 11 | 37 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 64 | |
| 15 | 75 | |
| 16 | A high-resolution map of active promoters in the human genomebreakdown → | 726 |
| 17 | 168 | |
| 18 | DNA Microarray-Mediated Transcriptional Profiling of the Escherichia coli Response to Hydrogen Peroxidebreakdown → | 663 |
| 19 | 209 | |
| 20 | 130 |
About Ming Zheng
Ming Zheng is a scholar working on General Engineering, Health Informatics and Transplantation, having authored 35 papers that have together received 4.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Gear and Bearing Dynamics Analysis (4 papers) and Redox biology and oxidative stress (4 papers). The work is most often cited by research in Endocrinology (259 citations), Molecular Biology (3.4k citations) and Biochemistry (282 citations). Ming Zheng has collaborated with scholars based in China, United States and Cameroon. Frequent co-authors include Gisela Storz, Fredrik Åslund, Robert A. LaRossa, Xunde Wang, Jon Beckwith, Dana R. Smulski, Lori J. Templeton, Thomas D. Schneider, Bing Ren and Roland D. Green. Their work appears in journals such as Nature, Science and Cell.
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.