Li Zhang
- Molecular Biology top 0.05%
- Cancer Research top 0.05%
- Physiology top 0.1%
- Pediatrics, Perinatology and Child Health top 0.02%
- Cardiology and Cardiovascular Medicine top 0.2%
- Co-authors
- Daliao XiaoEdward F. PlowMichael ChoppShumei YangXiang‐Qun HuChiranjib DasguptaThomas A. HaasJoseph C. Loftus
- Topics
- Birth, Development, and Health (176 papers)MicroRNA in disease regulation (155 papers)Pregnancy and preeclampsia studies (132 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Zhang
1.8k papers receiving 59.1k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Molecular Biology 28.5k
- Cancer Research 7.4k
- Physiology 6.8k
- Pediatrics, Perinatology and Child Health 6.5k
- Cardiology and Cardiovascular Medicine 5.7k
Countries citing papers authored by Li Zhang
This map shows the geographic impact of Li Zhang'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 Li Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Zhang more than expected).
Fields of papers citing papers by Li Zhang
This network shows the impact of papers produced by Li Zhang. 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 Li Zhang. The network helps show where Li Zhang may publish in the future.
Co-authorship network of co-authors of Li Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Li Zhang. A scholar is included among the top collaborators of Li Zhang 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 Li Zhang. Li Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | Identification of the Different Roles and Potential Mechanisms of T Isoforms in the Tumor Recurrence and Cell Cycle of Chordomas | 1 |
| 12 | Suppression of miR-21-3p enhances TRAIL-mediated apoptosis in liver cancer stem cells by suppressing PI3K/Akt/Bad cascade via regulating PTEN | 3 |
| 13 | 11 | |
| 14 | 11 | |
| 15 | Nonlinear Analysis of Diastolic Heart Sounds Based on EMD and Correlation Dimension | 1 |
| 16 | 6 | |
| 17 | 113 | |
| 18 | 45 | |
| 19 | 176 | |
| 20 | 60 |
About Li Zhang
Li Zhang is a scholar working on Obstetrics and Gynecology, Cancer Research and Developmental Neuroscience, having authored 1.9k papers that have together received 60.1k indexed citations. Recurring topics across this work include Birth, Development, and Health (176 papers), MicroRNA in disease regulation (155 papers) and Pregnancy and preeclampsia studies (132 papers). The work is most often cited by research in Developmental Neuroscience (2.6k citations), Cancer Research (7.4k citations) and Obstetrics and Gynecology (3.8k citations). Li Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daliao Xiao, Edward F. Plow, Michael Chopp, Shumei Yang, Xiang‐Qun Hu, Chiranjib Dasgupta, Thomas A. Haas, Joseph C. Loftus, Jeffrey W. Smith and Stephen F. Badylak. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.