Gen Tamura
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Pathology and Forensic Medicine top 2%
- Oncology top 5%
- Co-authors
- Teiichi MotoyamaSatoshi NishizukaNaoki YanagawaTakayoshi WakiRyoichi SatodateKunio ShiratoTamotsu TakishimaChihaya Maesawa
- Topics
- Cancer-related gene regulation (25 papers)Epigenetics and DNA Methylation (22 papers)Genetic factors in colorectal cancer (21 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Gen Tamura
100 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.4k
- Pulmonary and Respiratory Medicine 1.4k
- Surgery 1.1k
- Pathology and Forensic Medicine 721
- Oncology 680
Countries citing papers authored by Gen Tamura
This map shows the geographic impact of Gen Tamura'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 Gen Tamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Tamura more than expected).
Fields of papers citing papers by Gen Tamura
This network shows the impact of papers produced by Gen Tamura. 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 Gen Tamura. The network helps show where Gen Tamura may publish in the future.
Co-authorship network of co-authors of Gen Tamura
This figure shows the co-authorship network connecting the top 25 collaborators of Gen Tamura. A scholar is included among the top collaborators of Gen Tamura 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 Gen Tamura. Gen Tamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Symptoms and Health-related Quality of Life of Patients with “Uncontrolled” Severe Asthma in Japan A Subanalysis of the Cross-sectional ACQUIRE-2 Study | 1 |
| 3 | 20 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 129 | |
| 8 | Inverse correlation between EGFR mutation and FHIT, RASSF1A and RUNX3 methylation in lung adenocarcinoma: relation with smoking status. | 31 |
| 9 | 1 | |
| 10 | 495 | |
| 11 | 57 | |
| 12 | 124 | |
| 13 | 142 | |
| 14 | 12 | |
| 15 | 30 | |
| 16 | 15 | |
| 17 | 39 | |
| 18 | 15 | |
| 19 | 32 | |
| 20 | [An epidemiologic study of cholinergic urticaria in students of junior and senior high schools in Miyagi Prefecture]. | 1 |
About Gen Tamura
Gen Tamura is a scholar working on Pathology and Forensic Medicine, Gastroenterology and Pulmonary and Respiratory Medicine, having authored 103 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer-related gene regulation (25 papers), Epigenetics and DNA Methylation (22 papers) and Genetic factors in colorectal cancer (21 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Pathology and Forensic Medicine (721 citations) and Molecular Biology (2.4k citations). Gen Tamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Teiichi Motoyama, Satoshi Nishizuka, Naoki Yanagawa, Takayoshi Waki, Ryoichi Satodate, Kunio Shirato, Tamotsu Takishima, Chihaya Maesawa, Shinya Ogata and Masanori Terashima. Their work appears in journals such as New England Journal of Medicine, The Journal of Immunology and Gastroenterology.
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.