Takeo Nomura
- Molecular Biology top 5%
- Oncology top 5%
- Hematology top 1%
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 5%
- Co-authors
- Hiromitsu MimataYoshio NomuraHitoshi WakabayashiKoichi KanedaMutsushi YamasakiWen‐Chin HuangLeland W.K. ChungDaisuke Sato
- Topics
- Acute Myeloid Leukemia Research (30 papers)Sports Performance and Training (17 papers)Chronic Lymphocytic Leukemia Research (14 papers)
- Cited by
- HematologyGeneticsOncology
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takeo Nomura
200 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.3k
- Oncology 972
- Hematology 865
- Pulmonary and Respiratory Medicine 658
- Immunology 649
Countries citing papers authored by Takeo Nomura
This map shows the geographic impact of Takeo Nomura'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 Takeo Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeo Nomura more than expected).
Fields of papers citing papers by Takeo Nomura
This network shows the impact of papers produced by Takeo Nomura. 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 Takeo Nomura. The network helps show where Takeo Nomura may publish in the future.
Co-authorship network of co-authors of Takeo Nomura
This figure shows the co-authorship network connecting the top 25 collaborators of Takeo Nomura. A scholar is included among the top collaborators of Takeo Nomura 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 Takeo Nomura. Takeo Nomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 61 | |
| 3 | 21 | |
| 4 | 24 | |
| 5 | 12 | |
| 6 | 104 | |
| 7 | Proposal of manufacturing technology management as a new research framework in technology management | 0 |
| 8 | 35 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 37 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | [Japanese clinical statistical data of patients with aplastic anemia]. | 2 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Further Studies on the Structure of Polysaccharides from the Bark of Melia azadirachta (III) | 2 |
About Takeo Nomura
Takeo Nomura is a scholar working on Hematology, Physical Therapy, Sports Therapy and Rehabilitation and Orthopedics and Sports Medicine, having authored 208 papers that have together received 4.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Sports Performance and Training (17 papers) and Chronic Lymphocytic Leukemia Research (14 papers). The work is most often cited by research in Hematology (865 citations), Genetics (422 citations) and Oncology (972 citations). Takeo Nomura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hiromitsu Mimata, Yoshio Nomura, Hitoshi Wakabayashi, Koichi Kaneda, Mutsushi Yamasaki, Wen‐Chin Huang, Leland W.K. Chung, Daisuke Sato, Koiti Inokuchi and Fuminori Sato. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation 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.