Yoko Shibata
- Molecular Biology top 1%
- Cell Biology top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Pulmonary and Respiratory Medicine top 2%
- Epidemiology top 2%
- Co-authors
- Tom A. RapoportWilliam A. PrinzGia K. VoeltzJunjie HuYihong YeChristopher G. TateMichael M. KozlovFrancesca Magnani
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (52 papers)Respiratory Support and Mechanisms (24 papers)Asthma and respiratory diseases (21 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yoko Shibata
163 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 4.7k
- Cell Biology 3.0k
- Cellular and Molecular Neuroscience 1.2k
- Pulmonary and Respiratory Medicine 1.2k
- Epidemiology 1.1k
Countries citing papers authored by Yoko Shibata
This map shows the geographic impact of Yoko Shibata'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 Yoko Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Shibata more than expected).
Fields of papers citing papers by Yoko Shibata
This network shows the impact of papers produced by Yoko Shibata. 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 Yoko Shibata. The network helps show where Yoko Shibata may publish in the future.
Co-authorship network of co-authors of Yoko Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Shibata. A scholar is included among the top collaborators of Yoko Shibata 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 Yoko Shibata. Yoko Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 21 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 16 | |
| 14 | 9 | |
| 15 | Comorbidity of airflow limitation in patients with cardiovascular disease | 0 |
| 16 | 32 | |
| 17 | Precise volume controlled multireagents injective microwell array for efficient cell function analysis | 1 |
| 18 | 34 | |
| 19 | 33 | |
| 20 | 51 |
About Yoko Shibata
Yoko Shibata is a scholar working on Pulmonary and Respiratory Medicine, Nephrology and Physiology, having authored 167 papers that have together received 8.8k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (52 papers), Respiratory Support and Mechanisms (24 papers) and Asthma and respiratory diseases (21 papers). The work is most often cited by research in Cell Biology (3.0k citations), Molecular Biology (4.7k citations) and Cellular and Molecular Neuroscience (1.2k citations). Yoko Shibata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tom A. Rapoport, William A. Prinz, Gia K. Voeltz, Junjie Hu, Yihong Ye, Christopher G. Tate, Michael M. Kozlov, Francesca Magnani, María J. Serrano‐Vega and David Ron. Their work appears in journals such as Nature, Science and Cell.
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.