Soji Kakiuchi
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Cancer Research top 5%
- Immunology
- Co-authors
- Saburo SoneSeiji YanoYasuhiko NishiokaMasaki HanibuchiHisanori UeharaHirokazu OginoYataro DaigoTatsuhiko Tsunoda
- Topics
- Lung Cancer Treatments and Mutations (17 papers)Lung Cancer Research Studies (10 papers)Occupational and environmental lung diseases (9 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Soji Kakiuchi
40 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 998
- Pulmonary and Respiratory Medicine 910
- Oncology 850
- Cancer Research 313
- Immunology 153
Countries citing papers authored by Soji Kakiuchi
This map shows the geographic impact of Soji Kakiuchi'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 Soji Kakiuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soji Kakiuchi more than expected).
Fields of papers citing papers by Soji Kakiuchi
This network shows the impact of papers produced by Soji Kakiuchi. 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 Soji Kakiuchi. The network helps show where Soji Kakiuchi may publish in the future.
Co-authorship network of co-authors of Soji Kakiuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Soji Kakiuchi. A scholar is included among the top collaborators of Soji Kakiuchi 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 Soji Kakiuchi. Soji Kakiuchi 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 | 4 | |
| 3 | 20 | |
| 4 | 48 | |
| 5 | 41 | |
| 6 | 11 | |
| 7 | 29 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | Novel dual targeting strategy with vandetanib induces tumor cell apoptosis and inhibits angiogenesis in malignant pleural mesothelioma cells expressing RET oncogenic rearrangement | 17 |
| 13 | 15 | |
| 14 | Hepatocyte Growth Factor Induces Gefitinib Resistance of Lung Adenocarcinoma with Epidermal Growth Factor Receptor–Activating Mutationsbreakdown → | 513 |
| 15 | 54 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 40 | |
| 19 | 39 | |
| 20 | 145 |
About Soji Kakiuchi
Soji Kakiuchi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Biotechnology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Research Studies (10 papers) and Occupational and environmental lung diseases (9 papers). The work is most often cited by research in Oncology (850 citations), Pulmonary and Respiratory Medicine (910 citations) and Cancer Research (313 citations). Soji Kakiuchi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Saburo Sone, Seiji Yano, Yasuhiko Nishioka, Masaki Hanibuchi, Hisanori Uehara, Hirokazu Ogino, Yataro Daigo, Tatsuhiko Tsunoda, Wei Wang and Hisatsugu Goto. Their work appears in journals such as Nature Communications, Cancer Research and Oncogene.
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.