Teiichi Motoyama
- Molecular Biology top 2%
- Surgery top 2%
- Oncology top 2%
- Reproductive Medicine top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Gen TamuraHidenobu WatanabeNoriko KatoSatoshi NishizukaYasushi EndohTakayoshi WakiT HondaShunichi Sasou
- Topics
- Ovarian cancer diagnosis and treatment (27 papers)Epigenetics and DNA Methylation (25 papers)Cancer-related gene regulation (22 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Teiichi Motoyama
184 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 3.1k
- Surgery 1.3k
- Oncology 1.1k
- Reproductive Medicine 1.1k
- Pulmonary and Respiratory Medicine 935
Countries citing papers authored by Teiichi Motoyama
This map shows the geographic impact of Teiichi Motoyama'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 Teiichi Motoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teiichi Motoyama more than expected).
Fields of papers citing papers by Teiichi Motoyama
This network shows the impact of papers produced by Teiichi Motoyama. 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 Teiichi Motoyama. The network helps show where Teiichi Motoyama may publish in the future.
Co-authorship network of co-authors of Teiichi Motoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Teiichi Motoyama. A scholar is included among the top collaborators of Teiichi Motoyama 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 Teiichi Motoyama. Teiichi Motoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 34 | |
| 3 | 34 | |
| 4 | 7 | |
| 5 | Inverse correlation between EGFR mutation and FHIT, RASSF1A and RUNX3 methylation in lung adenocarcinoma: relation with smoking status. | 31 |
| 6 | 72 | |
| 7 | 57 | |
| 8 | 14 | |
| 9 | 69 | |
| 10 | 124 | |
| 11 | 81 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 19 | |
| 19 | Biological characterization including sensitivity to mitomycin C of cultured human ovarian cancers | 5 |
| 20 | 1 |
About Teiichi Motoyama
Teiichi Motoyama is a scholar working on Reproductive Medicine, Pathology and Forensic Medicine and Rheumatology, having authored 185 papers that have together received 5.8k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (27 papers), Epigenetics and DNA Methylation (25 papers) and Cancer-related gene regulation (22 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Obstetrics and Gynecology (603 citations) and Cancer Research (825 citations). Teiichi Motoyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Gen Tamura, Hidenobu Watanabe, Noriko Kato, Satoshi Nishizuka, Yasushi Endoh, Takayoshi Waki, Gen Tamura, T Honda, Shunichi Sasou and Naoki Yanagawa. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Cancer.
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.