Hideki Terai
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Lung Cancer Treatments and Mutations
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Fibroblast Growth Factor Research 3
- Epigenetics and DNA Methylation 3
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- Lung Cancer Treatments and Mutations 15
- Co-authors
- Kenzo Soejima (26 shared papers)Shinnosuke Ikemura (24 shared papers)Katsuhiko Naoki (16 shared papers)Takashi Sato (14 shared papers)Sohei Nakayama (13 shared papers)Satoshi Yoda (11 shared papers)Tomoko Betsuyaku (9 shared papers)Ryosuke Satomi (10 shared papers)
- Journals
- Lung Cancer (4 papers)Molecular Cancer Research (4 papers)Cancer Chemotherapy and Pharmacology (2 papers)Molecular Cancer Therapeutics (2 papers)Cancer Research (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hideki Terai
38 papers receiving 786 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 154
- Pulmonary and Respiratory Medicine 312
- Oncology 231
- Molecular Biology 420
- Immunology and Allergy 29
Countries citing papers authored by Hideki Terai
This map shows the geographic impact of Hideki Terai'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 Hideki Terai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Terai more than expected).
Fields of papers citing papers by Hideki Terai
This network shows the impact of papers produced by Hideki Terai. 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 Hideki Terai. The network helps show where Hideki Terai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Terai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 175 | |
| 2 | 2017 | 57 | |
| 3 | 2013 | 54 | |
| 4 | 2015 | 46 | |
| 5 | 2013 | 41 | |
| 6 | 2018 | 40 | |
| 7 | 2014 | 39 | |
| 8 | 2020 | 39 | |
| 9 | 2011 | 39 | |
| 10 | FOXD1 expression is associated with poor prognosis in non-small cell lung cancer. | 2015 | 35 |
| 11 | 2015 | 26 | |
| 12 | 2010 | 24 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 17 | |
| 15 | 2010 | 17 | |
| 16 | 2014 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2021 | 10 |
About Hideki Terai
Hideki Terai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Cancer Research, having authored 41 papers that have together received 792 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Fibroblast Growth Factor Research (3 papers), Lung Cancer Research Studies (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (154 citations), Pulmonary and Respiratory Medicine (312 citations), Oncology (231 citations), Molecular Biology (420 citations) and Immunology and Allergy (29 citations). Hideki Terai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenzo Soejima, Shinnosuke Ikemura, Katsuhiko Naoki, Takashi Sato, Sohei Nakayama, Satoshi Yoda, Tomoko Betsuyaku, Ryosuke Satomi, Hiroyuki Yasuda and Junko Hamamoto. Their work appears in journals such as Lung Cancer, Molecular Cancer Research, Cancer Chemotherapy and Pharmacology, Molecular Cancer Therapeutics and Cancer Research.
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.