Takeshi Nawa
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Genetics
- Surgery
- Co-authors
- Tohru NakagawaSuzushi KusanoHajime NakataTetsuya MizoueTatsuya ChonanShimao FukaiTakanobu ShioyaYasuhiko Wada
- Topics
- Lung Cancer Diagnosis and Treatment (11 papers)Lung Cancer Treatments and Mutations (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takeshi Nawa
21 papers receiving 506 citations
Peers
Comparison fields: 5 of 52
- Pulmonary and Respiratory Medicine 451
- Radiology, Nuclear Medicine and Imaging 231
- Oncology 84
- Genetics 69
- Surgery 45
Countries citing papers authored by Takeshi Nawa
This map shows the geographic impact of Takeshi Nawa'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 Takeshi Nawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Nawa more than expected).
Fields of papers citing papers by Takeshi Nawa
This network shows the impact of papers produced by Takeshi Nawa. 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 Takeshi Nawa. The network helps show where Takeshi Nawa may publish in the future.
Co-authorship network of co-authors of Takeshi Nawa
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Nawa. A scholar is included among the top collaborators of Takeshi Nawa 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 Takeshi Nawa. Takeshi Nawa 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 34 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 43 | |
| 12 | 70 | |
| 13 | 24 | |
| 14 | 5 | |
| 15 | [A case of postcardiac injury syndrome with repeated pleuritis after blunt chest trauma]. | 1 |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 249 | |
| 19 | 3 | |
| 20 | [A rare case of the inferior epigastric artery originated from the obturator artery (author's transl)]. | 1 |
About Takeshi Nawa
Takeshi Nawa is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 23 papers that have together received 521 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (11 papers), Lung Cancer Treatments and Mutations (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (451 citations), Radiology, Nuclear Medicine and Imaging (231 citations) and Genetics (69 citations). Takeshi Nawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tohru Nakagawa, Suzushi Kusano, Hajime Nakata, Tetsuya Mizoue, Tatsuya Chonan, Shimao Fukai, Takanobu Shioya, Yasuhiko Wada, Satoshi Morikawa and Yukihiko Sugiyama. Their work appears in journals such as CHEST Journal, Lung Cancer and International Journal of Radiation Biology.
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.