Gen Tamura
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 2%
- Surgery top 5%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Teiichi MotoyamaRyoichi SatodateKunio ShiratoChihaya MaesawaKunio SanoSatoshi NishizukaYasushi SuzukiHidekazu Shirota
- Topics
- Asthma and respiratory diseases (35 papers)Genetic factors in colorectal cancer (17 papers)Epigenetics and DNA Methylation (11 papers)
- Journals
- The Journal of ImmunologyAmerican Journal of Respiratory and Critical Care MedicineOncogene
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Gen Tamura
94 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.3k
- Pathology and Forensic Medicine 744
- Surgery 676
- Physiology 646
- Pulmonary and Respiratory Medicine 626
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 | 0 | |
| 2 | 4 | |
| 3 | [A multicenter, open-label, randomized comparison of suppressive effects on asthmatic inflammation of lower airways and improved effects on health-related QOL between HFA-BDP and fluticasone propionate]. | 2 |
| 4 | 60 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 178 | |
| 8 | 18 | |
| 9 | 74 | |
| 10 | 29 | |
| 11 | 23 | |
| 12 | 101 | |
| 13 | 21 | |
| 14 | 31 | |
| 15 | 4 | |
| 16 | CONDYLOMA IN AN INFANT : A CASE REPORT | 1 |
| 17 | 2 | |
| 18 | 53 | |
| 19 | 48 | |
| 20 | 44 |
About Gen Tamura
Gen Tamura is a scholar working on Immunology and Allergy, Physiology and Pathology and Forensic Medicine, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (35 papers), Genetic factors in colorectal cancer (17 papers) and Epigenetics and DNA Methylation (11 papers). The work is most often cited by research in Pathology and Forensic Medicine (744 citations), Immunology and Allergy (212 citations) and Immunology (571 citations). Gen Tamura has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Teiichi Motoyama, Ryoichi Satodate, Kunio Shirato, Chihaya Maesawa, Kunio Sano, Satoshi Nishizuka, Yasushi Suzuki, Hidekazu Shirota, Yuichi Ohkawara and Stephen J. Meltzer. Their work appears in journals such as The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine 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.