Ken Takezawa
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Molecular Biology top 10%
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Kazuhiko NakagawaIsamu OkamotoKazuto NishioKiyoko KuwataHaruka YamaguchiJunko TanizakiErina HatashitaYelena Y. Janjigian
- Topics
- Lung Cancer Treatments and Mutations (12 papers)Lung Cancer Research Studies (8 papers)Cancer therapeutics and mechanisms (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ken Takezawa
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 1.0k
- Oncology 978
- Molecular Biology 969
- Cancer Research 271
- Pathology and Forensic Medicine 187
Countries citing papers authored by Ken Takezawa
This map shows the geographic impact of Ken 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 Ken Takezawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Takezawa more than expected).
Fields of papers citing papers by Ken Takezawa
This network shows the impact of papers produced by Ken 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 Ken Takezawa. The network helps show where Ken Takezawa may publish in the future.
Co-authorship network of co-authors of Ken Takezawa
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Takezawa. A scholar is included among the top collaborators of Ken 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 Ken Takezawa. Ken 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 | 126 | |
| 2 | HER2 Amplification: A Potential Mechanism of Acquired Resistance to EGFR Inhibition in EGFR -Mutant Lung Cancers That Lack the Second-Site EGFR T790M Mutationbreakdown → | 555 |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 47 | |
| 6 | 1 | |
| 7 | 115 | |
| 8 | 103 | |
| 9 | 145 | |
| 10 | 63 | |
| 11 | 58 | |
| 12 | 75 | |
| 13 | 55 | |
| 14 | 30 | |
| 15 | 5 | |
| 16 | 83 | |
| 17 | 12 | |
| 18 | 15 | |
| 19 | Potent antitumor activity of MS-247, a novel DNA minor groove binder, evaluated by an in vitro and in vivo human cancer cell line panel. | 246 |
About Ken Takezawa
Ken Takezawa is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), Lung Cancer Research Studies (8 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Oncology (978 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Cancer Research (271 citations). Ken Takezawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuhiko Nakagawa, Isamu Okamoto, Kazuto Nishio, Kiyoko Kuwata, Haruka Yamaguchi, Junko Tanizaki, Erina Hatashita, Yelena Y. Janjigian, Vincent A. Miller and Mary Ann Melnick. Their work appears in journals such as Cancer Research, Clinical Cancer Research and British Journal of Cancer.
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.