Tetsuya Mitsudomi
- Pulmonary and Respiratory Medicine top 0.01%
- Oncology top 0.02%
- Molecular Biology top 0.1%
- Cancer Research top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Co-authors
- Yasushi YatabeTakashi TakahashiTakayuki KosakaHideki EndohKenichi SudaToyoaki HidaHiroyuki KuwanoHirotaka Osada
- Topics
- Lung Cancer Treatments and Mutations (344 papers)Lung Cancer Diagnosis and Treatment (138 papers)Lung Cancer Research Studies (107 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tetsuya Mitsudomi
508 papers receiving 35.9k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Pulmonary and Respiratory Medicine 22.7k
- Oncology 18.1k
- Molecular Biology 14.6k
- Cancer Research 8.5k
- Radiology, Nuclear Medicine and Imaging 2.7k
Countries citing papers authored by Tetsuya Mitsudomi
This map shows the geographic impact of Tetsuya Mitsudomi'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 Tetsuya Mitsudomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Mitsudomi more than expected).
Fields of papers citing papers by Tetsuya Mitsudomi
This network shows the impact of papers produced by Tetsuya Mitsudomi. 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 Tetsuya Mitsudomi. The network helps show where Tetsuya Mitsudomi may publish in the future.
Co-authorship network of co-authors of Tetsuya Mitsudomi
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Mitsudomi. A scholar is included among the top collaborators of Tetsuya Mitsudomi 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 Tetsuya Mitsudomi. Tetsuya Mitsudomi 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 | 25 | |
| 3 | 6 | |
| 4 | 55 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 39 | |
| 8 | 57 | |
| 9 | 15 | |
| 10 | 164 | |
| 11 | 74 | |
| 12 | 22 | |
| 13 | 170 | |
| 14 | 31 | |
| 15 | Hepatocyte Growth Factor Induces Gefitinib Resistance of Lung Adenocarcinoma with Epidermal Growth Factor Receptor–Activating Mutationsbreakdown → | 513 |
| 16 | MET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signalingbreakdown → | 3570 |
| 17 | 165 | |
| 18 | Reduced Expression of the let-7 MicroRNAs in Human Lung Cancers in Association with Shortened Postoperative Survivalbreakdown → | 1938 |
| 19 | 92 | |
| 20 | 34 |
About Tetsuya Mitsudomi
Tetsuya Mitsudomi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 529 papers that have together received 36.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (344 papers), Lung Cancer Diagnosis and Treatment (138 papers) and Lung Cancer Research Studies (107 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (22.7k citations), Oncology (18.1k citations) and Cancer Research (8.5k citations). Tetsuya Mitsudomi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasushi Yatabe, Takashi Takahashi, Takayuki Kosaka, Hideki Endoh, Kenichi Suda, Toyoaki Hida, Hiroyuki Kuwano, Hirotaka Osada, Yoshihisa Kobayashi and Shuta Tomida. Their work appears in journals such as Science, New England Journal of Medicine and The Lancet.
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.