Teppei Sugano
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Lung Cancer Treatments and Mutations 12
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 9
- Brain Metastases and Treatment 3
- Oncology 18
- Cancer Immunotherapy and Biomarkers 8
- Peptidase Inhibition and Analysis 3
- Lung Cancer Research Studies 3
- Co-authors
- Masaru YamaizumiAkihiko GemmaMasahiro SeikeRintaro NoroKaoru KubotaAkihiko MiyanagaSatoshi TakahashiMasaru Matsumoto
- Journals
- British Journal of Cancer (2 papers)Anticancer Research (2 papers)BMC Cancer (2 papers)OncoTargets and Therapy (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Teppei Sugano
36 papers receiving 736 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 211
- Oncology 349
- Pulmonary and Respiratory Medicine 233
- Molecular Biology 404
- Biotechnology 49
Countries citing papers authored by Teppei Sugano
This map shows the geographic impact of Teppei Sugano'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 Teppei Sugano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teppei Sugano more than expected).
Fields of papers citing papers by Teppei Sugano
This network shows the impact of papers produced by Teppei Sugano. 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 Teppei Sugano. The network helps show where Teppei Sugano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teppei Sugano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 15 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 5 | |
| 12 | 2015 | 57 | |
| 13 | 2015 | 20 | |
| 14 | 2015 | 14 | |
| 15 | 2012 | 44 | |
| 16 | 2010 | 3 | |
| 17 | 2010 | 7 | |
| 18 | 2010 | 9 | |
| 19 | [The conditions that induce tumor-suppressor protein p53]. | 1995 | 1 |
| 20 | U.v.-induced nuclear accumulation of p53 is evoked through DNA damage of actively transcribed genes independent of the cell cycle. | 1994 | 194 |
About Teppei Sugano
Teppei Sugano is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Hepatology, Biotechnology and Cancer Research, having authored 37 papers that have together received 745 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Brain Metastases and Treatment (3 papers), Peptidase Inhibition and Analysis (3 papers), Lung Cancer Research Studies (3 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Cancer Research (211 citations), Oncology (349 citations), Pulmonary and Respiratory Medicine (233 citations), Molecular Biology (404 citations) and Biotechnology (49 citations). Teppei Sugano has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Masaru Yamaizumi, Akihiko Gemma, Masahiro Seike, Rintaro Noro, Kaoru Kubota, Akihiko Miyanaga, Satoshi Takahashi, Masaru Matsumoto, Nobuhiko Nishijima and Chie Soeno. Their work appears in journals such as British Journal of Cancer, Anticancer Research, BMC Cancer, OncoTargets and Therapy and International Journal of Oncology.
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.