Takashi Kido
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Surgery
- Co-authors
- Kazuhiro YateraHiroshi MukaeHiroshi IshimotoToshinori KawanamiShingo NoguchiKei YamasakiKeishi OdaKazumasa Fukuda
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (38 papers)Pneumonia and Respiratory Infections (17 papers)Medical Imaging and Pathology Studies (12 papers)
- Cited by
- Critical Care and Intensive Care MedicineHealth, Toxicology and MutagenesisPulmonary and Respiratory Medicine
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Takashi Kido
96 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Pulmonary and Respiratory Medicine 428
- Epidemiology 291
- Molecular Biology 212
- Health, Toxicology and Mutagenesis 182
- Surgery 154
Countries citing papers authored by Takashi Kido
This map shows the geographic impact of Takashi Kido'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 Takashi Kido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kido more than expected).
Fields of papers citing papers by Takashi Kido
This network shows the impact of papers produced by Takashi Kido. 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 Takashi Kido. The network helps show where Takashi Kido may publish in the future.
Co-authorship network of co-authors of Takashi Kido
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kido. A scholar is included among the top collaborators of Takashi Kido 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 Takashi Kido. Takashi Kido 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | Ambient Intelligence and Crowdsourced Genetics for Understanding Loss Aversion in Decision Making. | 1 |
About Takashi Kido
Takashi Kido is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Epidemiology, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (38 papers), Pneumonia and Respiratory Infections (17 papers) and Medical Imaging and Pathology Studies (12 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (78 citations), Health, Toxicology and Mutagenesis (182 citations) and Pulmonary and Respiratory Medicine (428 citations). Takashi Kido has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuhiro Yatera, Hiroshi Mukae, Hiroshi Ishimoto, Toshinori Kawanami, Shingo Noguchi, Kei Yamasaki, Keishi Oda, Kazumasa Fukuda, Stephan F. van Eeden and Ni Bai. Their work appears in journals such as PLoS ONE, Diabetes Care and American Journal of Respiratory and Critical Care Medicine.
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.