Tianju Liu
- Pulmonary and Respiratory Medicine top 1%
- Molecular Biology top 10%
- Immunology top 5%
- Surgery top 10%
- Physiology top 5%
- Co-authors
- Sem H. PhanHongjian JinNaozumi HashimotoStephen W. ChensueFrancina Gonzalez De Los SantosBiao HuMatthew UllenbruchBridget McGarry
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (27 papers)Occupational and environmental lung diseases (9 papers)Neonatal Respiratory Health Research (8 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Tianju Liu
43 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Pulmonary and Respiratory Medicine 1.9k
- Molecular Biology 837
- Immunology 815
- Surgery 484
- Physiology 455
Countries citing papers authored by Tianju Liu
This map shows the geographic impact of Tianju 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 Tianju Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianju Liu more than expected).
Fields of papers citing papers by Tianju Liu
This network shows the impact of papers produced by Tianju 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 Tianju Liu. The network helps show where Tianju Liu may publish in the future.
Co-authorship network of co-authors of Tianju Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianju Liu. A scholar is included among the top collaborators of Tianju 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 Tianju Liu. Tianju 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 | 0 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 44 | |
| 5 | 11 | |
| 6 | 37 | |
| 7 | Detection of porcine diarrhea associated virus and genetic variation analysis of S gene of porcine epidemic diarrhea virus in Hebei Province. | 1 |
| 8 | The Bleomycin Model of Pulmonary Fibrosisbreakdown → | 253 |
| 9 | 54 | |
| 10 | 40 | |
| 11 | 21 | |
| 12 | 51 | |
| 13 | 71 | |
| 14 | 23 | |
| 15 | 386 | |
| 16 | 54 | |
| 17 | 99 | |
| 18 | Bone marrow–derived progenitor cells in pulmonary fibrosisbreakdown → | 549 |
| 19 | 90 | |
| 20 | 187 |
About Tianju Liu
Tianju Liu is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 44 papers that have together received 3.4k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (27 papers), Occupational and environmental lung diseases (9 papers) and Neonatal Respiratory Health Research (8 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.9k citations), Immunology (815 citations) and Genetics (354 citations). Tianju Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Sem H. Phan, Hongjian Jin, Naozumi Hashimoto, Stephen W. Chensue, Francina Gonzalez De Los Santos, Biao Hu, Matthew Ullenbruch, Bridget McGarry, François Huaux and Zhe Wu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.