Sheng Zhao
- Molecular Biology top 5%
- Plant Science top 5%
- Developmental Neuroscience top 1%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Russell D. FernaldAna Martín-VillalbaEnric Llorens-BobadillaWayne J. KorzanRobert G. RutledgeKatleen De PreterJan HellemansGregory Boggy
- Topics
- Genomics and Phylogenetic Studies (5 papers)Cancer-related molecular mechanisms research (5 papers)MicroRNA in disease regulation (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Sheng Zhao
34 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.4k
- Plant Science 402
- Developmental Neuroscience 327
- Cancer Research 321
- Immunology 228
Countries citing papers authored by Sheng Zhao
This map shows the geographic impact of Sheng Zhao'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 Sheng Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Zhao more than expected).
Fields of papers citing papers by Sheng Zhao
This network shows the impact of papers produced by Sheng Zhao. 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 Sheng Zhao. The network helps show where Sheng Zhao may publish in the future.
Co-authorship network of co-authors of Sheng Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Zhao. A scholar is included among the top collaborators of Sheng Zhao 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 Sheng Zhao. Sheng Zhao 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 | 5 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 32 | |
| 7 | 18 | |
| 8 | 120 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | MicroRNA-205 inhibits the apoptosis of renal tubular epithelial cells via the PTEN/Akt pathway in renal ischemia-reperfusion injury. | 20 |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 27 | |
| 15 | 52 | |
| 16 | Single-Cell Transcriptomics Reveals a Population of Dormant Neural Stem Cells that Become Activated upon Brain Injurybreakdown → | 536 |
| 17 | 17 | |
| 18 | 54 | |
| 19 | 204 | |
| 20 | 6 |
About Sheng Zhao
Sheng Zhao is a scholar working on Developmental Neuroscience, Cancer Research and Neurology, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Developmental Neuroscience (327 citations), Cancer Research (321 citations) and Molecular Biology (1.4k citations). Sheng Zhao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Russell D. Fernald, Ana Martín-Villalba, Enric Llorens-Bobadilla, Wayne J. Korzan, Robert G. Rutledge, Katleen De Preter, Jan Hellemans, Gregory Boggy, Jan M. Ruijter and Davide Sisti. Their work appears in journals such as Development, Environmental Pollution and Cell stem 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.