Tatsuya Tsukui
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Oncology top 10%
- Surgery
- Co-authors
- Dean SheppardPaul J. WoltersKouji MatsushimaSatoshi UehaJun AbeMichael A. MatthayMichio TomuraShigeyuki Shichino
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers)Neonatal Respiratory Health Research (10 papers)Medical Imaging and Pathology Studies (8 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tatsuya Tsukui
27 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 567
- Pulmonary and Respiratory Medicine 555
- Molecular Biology 436
- Oncology 251
- Surgery 164
Countries citing papers authored by Tatsuya Tsukui
This map shows the geographic impact of Tatsuya Tsukui'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 Tatsuya Tsukui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Tsukui more than expected).
Fields of papers citing papers by Tatsuya Tsukui
This network shows the impact of papers produced by Tatsuya Tsukui. 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 Tatsuya Tsukui. The network helps show where Tatsuya Tsukui may publish in the future.
Co-authorship network of co-authors of Tatsuya Tsukui
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Tsukui. A scholar is included among the top collaborators of Tatsuya Tsukui 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 Tatsuya Tsukui. Tatsuya Tsukui 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 | 4 | |
| 4 | 27 | |
| 5 | Alveolar fibroblast lineage orchestrates lung inflammation and fibrosisbreakdown → | 88 |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 42 | |
| 9 | 69 | |
| 10 | Collagen-producing lung cell atlas identifies multiple subsets with distinct localization and relevance to fibrosisbreakdown → | 400 |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 19 | |
| 16 | 25 | |
| 17 | 69 | |
| 18 | 23 | |
| 19 | 150 | |
| 20 | 26 |
About Tatsuya Tsukui
Tatsuya Tsukui is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Neonatal Respiratory Health Research (10 papers) and Medical Imaging and Pathology Studies (8 papers). The work is most often cited by research in Immunology (567 citations), Pulmonary and Respiratory Medicine (555 citations) and Oncology (251 citations). Tatsuya Tsukui has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Dean Sheppard, Paul J. Wolters, Kouji Matsushima, Satoshi Ueha, Jun Abe, Michael A. Matthay, Michio Tomura, Shigeyuki Shichino, Neil C. Henderson and Makoto Kurachi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.