Eijiro Nakamura
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 11
- Cancer Genomics and Diagnostics 5
- Biochemistry top 2%
- Molecular Biology top 5%
- Renal and related cancers 5
- Epigenetics and DNA Methylation 4
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology top 10%
- Peptidase Inhibition and Analysis 4
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- Renal cell carcinoma treatment 9
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- Adrenal and Paraganglionic Tumors 4
- Co-authors
- William G. KaelinKeiichi KondoMirna LechpammerOsamu OgawaBruce CarterWenyi WeiRobert S. FreemanSusanne Schlisio
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Eijiro Nakamura
35 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 1.3k
- Biochemistry 239
- Molecular Biology 1.4k
- Oncology 441
- Pulmonary and Respiratory Medicine 524
Countries citing papers authored by Eijiro Nakamura
This map shows the geographic impact of Eijiro 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 Eijiro Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eijiro Nakamura more than expected).
Fields of papers citing papers by Eijiro Nakamura
This network shows the impact of papers produced by Eijiro 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 Eijiro Nakamura. The network helps show where Eijiro Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eijiro 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 | 2023 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 6 | |
| 6 | 2017 | 36 | |
| 7 | 2017 | 45 | |
| 8 | 2015 | 33 | |
| 9 | 2011 | 47 | |
| 10 | 2008 | 93 | |
| 11 | 2008 | 57 | |
| 12 | 2007 | 28 | |
| 13 | 2006 | 55 | |
| 14 | 2006 | 45 | |
| 15 | 2005 | 18 | |
| 16 | Neuronal apoptosis linked to EglN3 prolyl hydroxylase and familial pheochromocytoma genes: Developmental culling and cancerbreakdown → | 2005 | 417 |
| 17 | 2003 | 150 | |
| 18 | 1999 | 277 | |
| 19 | 1995 | 28 | |
| 20 | [ABEP chemotherapy in the treatment of advanced non-Hodgkin's lymphomas]. | 1986 | 1 |
About Eijiro Nakamura
Eijiro Nakamura is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), Renal cell carcinoma treatment (9 papers), Renal and related cancers (5 papers), Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers), Peptidase Inhibition and Analysis (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (1.3k citations), Biochemistry (239 citations) and Molecular Biology (1.4k citations). Eijiro Nakamura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include William G. Kaelin, Keiichi Kondo, Mirna Lechpammer, Osamu Ogawa, Bruce Carter, Wenyi Wei, Robert S. Freeman, Susanne Schlisio, Mini P. Sajan and Robert V. Farese. Their work appears in journals such as Cancer Science, The Journal of Urology, Cancer Medicine, Molecular Endocrinology and Journal of Biological Chemistry.
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.