Jun‐ichi Suehiro
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
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- Angiogenesis and VEGF in Cancer 8
- Epigenetics and DNA Methylation 7
- Congenital heart defects research 4
- Polyamine Metabolism and Applications 2
- Oncology 4
- Co-authors
- Takashi Minami (10 shared papers)Tatsuhiko Kodama (8 shared papers)William C. Aird (5 shared papers)Takao Hamakubo (3 shared papers)Yasuharu Kanki (7 shared papers)Kiichiro Yano (4 shared papers)Youichiro Wada (6 shared papers)Hiroyuki Aburatani (4 shared papers)
- Journals
- iScience (2 papers)Blood (2 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)The Prostate (1 paper)
- Partner nations
- JapanUnited StatesBulgaria
In The Last Decade
Jun‐ichi Suehiro
21 papers receiving 530 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 77
- Immunology and Allergy 30
- Molecular Biology 314
- Oncology 97
- Immunology 67
Countries citing papers authored by Jun‐ichi Suehiro
This map shows the geographic impact of Jun‐ichi Suehiro'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 Jun‐ichi Suehiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Suehiro more than expected).
Fields of papers citing papers by Jun‐ichi Suehiro
This network shows the impact of papers produced by Jun‐ichi Suehiro. 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 Jun‐ichi Suehiro. The network helps show where Jun‐ichi Suehiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐ichi Suehiro, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 87 | |
| 2 | 2011 | 63 | |
| 3 | 2009 | 60 | |
| 4 | 2011 | 48 | |
| 5 | 2017 | 42 | |
| 6 | 2009 | 37 | |
| 7 | 2016 | 34 | |
| 8 | 2017 | 32 | |
| 9 | 2011 | 32 | |
| 10 | 2009 | 25 | |
| 11 | 2017 | 19 | |
| 12 | 2022 | 15 | |
| 13 | 2013 | 13 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Jun‐ichi Suehiro
Jun‐ichi Suehiro is a scholar working on Molecular Biology, Oncology, Biochemistry, Surgery and Immunology and Allergy, having authored 22 papers that have together received 536 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Epigenetics and DNA Methylation (7 papers), Amino Acid Enzymes and Metabolism (4 papers), Congenital heart defects research (4 papers), Cell Adhesion Molecules Research (3 papers), Barrier Structure and Function Studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Cancer Research (77 citations), Immunology and Allergy (30 citations), Molecular Biology (314 citations), Oncology (97 citations) and Immunology (67 citations). Jun‐ichi Suehiro has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Takashi Minami, Tatsuhiko Kodama, William C. Aird, Takao Hamakubo, Yasuharu Kanki, Kiichiro Yano, Youichiro Wada, Hiroyuki Aburatani, Hiroyuki Sakurai and Yukiko T. Matsunaga. Their work appears in journals such as iScience, Blood, Scientific Reports, Biochemical and Biophysical Research Communications and The Prostate.
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.