Jun Takezawa
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Surgery
- Molecular Biology
- Critical Care and Intensive Care Medicine top 5%
- Co-authors
- Nobuyuki TaenakaJohn J. O’NeilFrederick J. MillerYasuhiro ShimadaIkuto YoshiyaKouichi YamadaMachi SukaKatsumi Yoshida
- Topics
- Respiratory Support and Mechanisms (16 papers)Nosocomial Infections in ICU (14 papers)Sepsis Diagnosis and Treatment (12 papers)
- Cited by
- Critical Care and Intensive Care MedicineAnesthesiology and Pain MedicineEmergency Medicine
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jun Takezawa
76 papers receiving 891 citations
Peers
Comparison fields: 5 of 109
- Pulmonary and Respiratory Medicine 309
- Epidemiology 221
- Surgery 195
- Molecular Biology 169
- Critical Care and Intensive Care Medicine 148
Countries citing papers authored by Jun Takezawa
This map shows the geographic impact of Jun Takezawa'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 Jun Takezawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takezawa more than expected).
Fields of papers citing papers by Jun Takezawa
This network shows the impact of papers produced by Jun Takezawa. 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 Jun Takezawa. The network helps show where Jun Takezawa may publish in the future.
Co-authorship network of co-authors of Jun Takezawa
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Takezawa. A scholar is included among the top collaborators of Jun Takezawa 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 Jun Takezawa. Jun Takezawa 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 | 20 | |
| 4 | Advantages and Disadvantages of Neural Networks for Predicting Clinical Outcomes. | 2 |
| 5 | 13 | |
| 6 | 32 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | [Critical appraisal of treatments in emergency settings]. | 1 |
| 16 | 1 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | 31 | |
| 20 | 0 |
About Jun Takezawa
Jun Takezawa is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Emergency Medicine, having authored 81 papers that have together received 941 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (16 papers), Nosocomial Infections in ICU (14 papers) and Sepsis Diagnosis and Treatment (12 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (148 citations), Anesthesiology and Pain Medicine (70 citations) and Emergency Medicine (93 citations). Jun Takezawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Nobuyuki Taenaka, John J. O’Neil, Frederick J. Miller, Yasuhiro Shimada, Ikuto Yoshiya, Kouichi Yamada, Machi Suka, Katsumi Yoshida, Masaji Nishimura and Tomomasa Kimura. Their work appears in journals such as Molecular Cell, Journal of Applied Physiology and International Journal of Molecular Sciences.
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.