Li Liang
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 2%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 5%
- Co-authors
- Gregg C. FonarowEric D. PetersonAdrian F. HernandezJay A. TischfieldNancy M. AlbertLee H. SchwammEric E. SmithChunlin Wang
- Topics
- Acute Ischemic Stroke Management (16 papers)DNA Repair Mechanisms (11 papers)Birth, Development, and Health (11 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Liang
133 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cardiology and Cardiovascular Medicine 1.6k
- Epidemiology 1.4k
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 493
- Cancer Research 492
Countries citing papers authored by Li Liang
This map shows the geographic impact of Li Liang'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 Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Liang more than expected).
Fields of papers citing papers by Li Liang
This network shows the impact of papers produced by Li Liang. 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 Liang. The network helps show where Li Liang may publish in the future.
Co-authorship network of co-authors of Li Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Li Liang. A scholar is included among the top collaborators of Li Liang 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 Liang. Li Liang 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 52 | |
| 8 | 23 | |
| 9 | The Review of Organic Additives in Plant Tissue Culture | 1 |
| 10 | Studies on rice starch branching enzyme (RBE4) as endogenous reference gene for the matrix reference material of transgenic rice (Oryza sativa L.). | 1 |
| 11 | 25 | |
| 12 | 42 | |
| 13 | 17 | |
| 14 | 10 | |
| 15 | Effects of glucose and insulin on the activity and transcription of fatty acid synthase in goose hepatocytes. | 1 |
| 16 | 228 | |
| 17 | 13 | |
| 18 | 282 | |
| 19 | 23 | |
| 20 | 11 |
About Li Liang
Li Liang is a scholar working on Internal Medicine, Rehabilitation and Endocrine and Autonomic Systems, having authored 138 papers that have together received 4.9k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (16 papers), DNA Repair Mechanisms (11 papers) and Birth, Development, and Health (11 papers). The work is most often cited by research in Internal Medicine (306 citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Rehabilitation (299 citations). Li Liang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gregg C. Fonarow, Eric D. Peterson, Adrian F. Hernandez, Jay A. Tischfield, Nancy M. Albert, Lee H. Schwamm, Eric E. Smith, Chunlin Wang, Yanlan Fang and Hong Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.