Jialing Liu
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Hematology top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Co-authors
- Masanori IwaiGuodong CaoJun ChenWei YinR. Anne StetlerHuazhen LiuWei MaoXusheng Liu
- Topics
- Chronic Kidney Disease and Diabetes (4 papers)Acute Kidney Injury Research (3 papers)Health, Environment, Cognitive Aging (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaStrokeAmerican Journal Of Pathology
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Jialing Liu
17 papers receiving 379 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 97
- Pediatrics, Perinatology and Child Health 85
- Hematology 82
- Oncology 54
- Pulmonary and Respiratory Medicine 52
Countries citing papers authored by Jialing Liu
This map shows the geographic impact of Jialing Liu'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 Jialing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialing Liu more than expected).
Fields of papers citing papers by Jialing Liu
This network shows the impact of papers produced by Jialing Liu. 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 Jialing Liu. The network helps show where Jialing Liu may publish in the future.
Co-authorship network of co-authors of Jialing Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jialing Liu. A scholar is included among the top collaborators of Jialing Liu 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 Jialing Liu. Jialing Liu 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 74 | |
| 13 | 42 | |
| 14 | 2 | |
| 15 | 16 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 160 | |
| 19 | Leflunomide, a new disease-modifying drug for treating active rheumatoid arthritis in methotrexate-controlled phase II clinical trial | 7 |
| 20 | Leflunomide, a new disease-modifying drug for treating active rheumatoid arthritis in methotrexate-controlled phase II clinical trial. | 29 |
About Jialing Liu
Jialing Liu is a scholar working on Nephrology, Biological Psychiatry and Statistics and Probability, having authored 20 papers that have together received 382 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Acute Kidney Injury Research (3 papers) and Health, Environment, Cognitive Aging (3 papers). The work is most often cited by research in Developmental Neuroscience (31 citations), Hematology (82 citations) and Nephrology (37 citations). Jialing Liu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Masanori Iwai, Guodong Cao, Jun Chen, Wei Yin, R. Anne Stetler, Huazhen Liu, Wei Mao, Xusheng Liu, Lei Zhang and Yanmei Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and American Journal Of Pathology.
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.