Lian Wu
- Pulmonary and Respiratory Medicine
- Physiology
- Molecular Biology
- Clinical Biochemistry top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Peter BlackLouise NicholsonLi MaJing ZhangJieming QuS.J.M. SkinnerFrancesco BlasiNeil Lambie
- Topics
- Connective tissue disorders research (5 papers)Neonatal Respiratory Health Research (4 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineJournal of Cellular and Molecular MedicineCytokine
- Partner nations
- ChinaNew ZealandSpain
In The Last Decade
Lian Wu
13 papers receiving 345 citations
Peers
Comparison fields: 5 of 76
- Pulmonary and Respiratory Medicine 188
- Physiology 96
- Molecular Biology 55
- Clinical Biochemistry 51
- Public Health, Environmental and Occupational Health 45
Countries citing papers authored by Lian Wu
This map shows the geographic impact of Lian Wu'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 Lian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian Wu more than expected).
Fields of papers citing papers by Lian Wu
This network shows the impact of papers produced by Lian Wu. 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 Lian Wu. The network helps show where Lian Wu may publish in the future.
Co-authorship network of co-authors of Lian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Lian Wu. A scholar is included among the top collaborators of Lian Wu 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 Lian Wu. Lian Wu 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 | 4 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | Progress in integrated traditional Chinese and Western medicine diagnosis and treatment for advanced schistosomiasis | 1 |
| 6 | 4 | |
| 7 | Specific knockdown of versican 1 ameliorated the impairment of elastin deposit in pulmonary fibroblasts co-cultured with cigarette smoke | 2 |
| 8 | 35 | |
| 9 | 63 | |
| 10 | 38 | |
| 11 | 27 | |
| 12 | 10 | |
| 13 | 96 | |
| 14 | 57 |
About Lian Wu
Lian Wu is a scholar working on Parasitology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 14 papers that have together received 348 indexed citations. Recurring topics across this work include Connective tissue disorders research (5 papers), Neonatal Respiratory Health Research (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). The work is most often cited by research in Clinical Biochemistry (51 citations), Pulmonary and Respiratory Medicine (188 citations) and Microbiology (34 citations). Lian Wu has collaborated with scholars based in China, New Zealand and Spain. Frequent co-authors include Peter Black, Louise Nicholson, Li Ma, Jing Zhang, Jieming Qu, S.J.M. Skinner, Francesco Blasi, Neil Lambie, Mervyn J. Merrilees and Chunxue Bai. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Cellular and Molecular Medicine and Cytokine.
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.