Kazuhide Nakamura
- Oncology top 10%
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- Angiogenesis and VEGF in Cancer 6
- PI3K/AKT/mTOR signaling in cancer 5
- Protein Tyrosine Phosphatases 3
- Melanoma and MAPK Pathways 3
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- Cancer, Hypoxia, and Metabolism 3
- Pharmacology top 10%
- Hepatology top 10%
- Liver physiology and pathology 2
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- Acute Myeloid Leukemia Research 2
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- Synthesis and biological activity 2
- Co-authors
- Masabumi ShibuyaKazuo KuboToshiyuki IsoeEri TaguchiShinobu IwaiSachie HiratsukaYoichiro IwakuraMai Yamauchi
- Journals
- Molecular Cancer Therapeutics (4 papers)Bioorganic & Medicinal Chemistry (2 papers)Cancer Science (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazuhide Nakamura
27 papers receiving 985 citations
Peers
Comparison fields: 5 of 89
- Oncology 249
- Molecular Biology 601
- Cancer Research 130
- Pharmacology 71
- Hepatology 64
Countries citing papers authored by Kazuhide Nakamura
This map shows the geographic impact of Kazuhide Nakamura'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 Kazuhide Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhide Nakamura more than expected).
Fields of papers citing papers by Kazuhide Nakamura
This network shows the impact of papers produced by Kazuhide Nakamura. 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 Kazuhide Nakamura. The network helps show where Kazuhide Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuhide Nakamura, 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 | 2024 | 2 | |
| 2 | 2018 | 7 | |
| 3 | 2017 | 66 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 18 | |
| 6 | 2013 | 27 | |
| 7 | 2013 | 16 | |
| 8 | 2013 | 48 | |
| 9 | 2008 | 28 | |
| 10 | 2006 | 164 | |
| 11 | 2006 | 147 | |
| 12 | 2005 | 18 | |
| 13 | 2005 | 131 | |
| 14 | 2003 | 19 | |
| 15 | Synthesis and structure-activity relationship of Quinazoline-Urea derivatives as novel orally active VEGF receptor tyrosine kinase selective inhibitors | 2002 | 1 |
| 16 | 2001 | 21 | |
| 17 | 1997 | 15 | |
| 18 | 1994 | 37 | |
| 19 | 1993 | 58 | |
| 20 | 1985 | 21 |
About Kazuhide Nakamura
Kazuhide Nakamura is a scholar working on Immunology and Allergy, Oncology and Molecular Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Protein Tyrosine Phosphatases (3 papers), Melanoma and MAPK Pathways (3 papers), Acute Myeloid Leukemia Research (2 papers), Synthesis and biological activity (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Oncology (249 citations), Molecular Biology (601 citations) and Cancer Research (130 citations). Kazuhide Nakamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masabumi Shibuya, Kazuo Kubo, Toshiyuki Isoe, Eri Taguchi, Shinobu Iwai, Sachie Hiratsuka, Yoichiro Iwakura, Mai Yamauchi, Masato Murakami and Kazumi Takahashi. Their work appears in journals such as Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry, Cancer Science, Cancer Research and Clinical 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.