Takeshi Mori
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Co-authors
- Hiroaki NomoriKoei IkedaKentaro YoshimotoKoichi KawanakaHironori KobayashiYasuomi OhbaKenji ShiraishiKazunori Iwatani
- Topics
- Lung Cancer Diagnosis and Treatment (40 papers)Lung Cancer Treatments and Mutations (29 papers)Advanced Data Compression Techniques (15 papers)
- Journals
- The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takeshi Mori
143 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 131
- Pulmonary and Respiratory Medicine 1.3k
- Oncology 621
- Epidemiology 527
- Infectious Diseases 421
- Molecular Biology 390
Countries citing papers authored by Takeshi Mori
This map shows the geographic impact of Takeshi Mori'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 Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Mori more than expected).
Fields of papers citing papers by Takeshi Mori
This network shows the impact of papers produced by Takeshi Mori. 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 Mori. The network helps show where Takeshi Mori may publish in the future.
Co-authorship network of co-authors of Takeshi Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Mori. A scholar is included among the top collaborators of Takeshi Mori 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 Mori. Takeshi Mori 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 | 22 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | Speaker Age Estimation Using Age-Dependent Insensitive Loss | 4 |
| 7 | 0 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 68 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 33 | |
| 14 | 28 | |
| 15 | 2 | |
| 16 | G.711.1: A wideband extension to ITU-T G.711 | 9 |
| 17 | 22 | |
| 18 | 36 | |
| 19 | A real-time PHS music delivery system | 0 |
| 20 | 20 |
About Takeshi Mori
Takeshi Mori is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Oncology, having authored 154 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (40 papers), Lung Cancer Treatments and Mutations (29 papers) and Advanced Data Compression Techniques (15 papers). The work is most often cited by research in Microbiology (31 citations), Pulmonary and Respiratory Medicine (1.3k citations) and Oncology (621 citations). Takeshi Mori has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroaki Nomori, Koei Ikeda, Kentaro Yoshimoto, Koichi Kawanaka, Hironori Kobayashi, Yasuomi Ohba, Kenji Shiraishi, Kazunori Iwatani, Hidekatsu Shibata and Shinya Shiraishi. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.