Keishi Oda
- Pulmonary and Respiratory Medicine top 5%
- Physiology
- Epidemiology
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Kazuhiro YateraHiroshi MukaeHiroshi IshimotoToshinori KawanamiTakashi KidoTakaaki OgoshiKei YamasakiShingo Noguchi
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (23 papers)Sarcoidosis and Beryllium Toxicity Research (9 papers)Occupational and environmental lung diseases (6 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineRespiratory MedicineRespiratory Research
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Keishi Oda
33 papers receiving 696 citations
Peers
Comparison fields: 5 of 73
- Pulmonary and Respiratory Medicine 536
- Physiology 182
- Epidemiology 139
- Public Health, Environmental and Occupational Health 86
- Molecular Biology 66
Countries citing papers authored by Keishi Oda
This map shows the geographic impact of Keishi Oda'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 Keishi Oda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keishi Oda more than expected).
Fields of papers citing papers by Keishi Oda
This network shows the impact of papers produced by Keishi Oda. 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 Keishi Oda. The network helps show where Keishi Oda may publish in the future.
Co-authorship network of co-authors of Keishi Oda
This figure shows the co-authorship network connecting the top 25 collaborators of Keishi Oda. A scholar is included among the top collaborators of Keishi Oda 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 Keishi Oda. Keishi Oda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 20 | |
| 7 | Factors Associated with a Non-histopathological Diagnosis by EBUS-TBNA in Patients with Sarcoidosis | 0 |
| 8 | 4 | |
| 9 | 92 | |
| 10 | 28 | |
| 11 | 53 | |
| 12 | 35 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 19 | |
| 16 | 36 | |
| 17 | 79 | |
| 18 | 4 | |
| 19 | 21 | |
| 20 | 0 |
About Keishi Oda
Keishi Oda is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Rheumatology, having authored 36 papers that have together received 701 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (23 papers), Sarcoidosis and Beryllium Toxicity Research (9 papers) and Occupational and environmental lung diseases (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (536 citations), Physiology (182 citations) and Epidemiology (139 citations). Keishi Oda has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Kazuhiro Yatera, Hiroshi Mukae, Hiroshi Ishimoto, Toshinori Kawanami, Takashi Kido, Takaaki Ogoshi, Kei Yamasaki, Shingo Noguchi, Hiroyuki Nakao and Keisuke Naito. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Respiratory Medicine and Respiratory Research.
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.