Etsuo Nakamura
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
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- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
Papers in
- Surgery 8
- Pancreatic function and diabetes 7
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- Receptor Mechanisms and Signaling 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Hiroshi Teraoka (13 shared papers)Mikio Tamaki (9 shared papers)Mitsuhiro Okamoto (3 shared papers)Masaru Shin (4 shared papers)Yuji Tsuruta (2 shared papers)Osamu Ohara (2 shared papers)Takashi Ono (2 shared papers)Hiromasa Tojo (2 shared papers)
In The Last Decade
Etsuo Nakamura
18 papers receiving 530 citations
Peers
Comparison fields: 5 of 95
- Biotechnology 70
- Molecular Biology 300
- Oncology 96
- Endocrinology, Diabetes and Metabolism 58
- Cell Biology 58
Countries citing papers authored by Etsuo Nakamura
This map shows the geographic impact of Etsuo 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 Etsuo Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etsuo Nakamura more than expected).
Fields of papers citing papers by Etsuo Nakamura
This network shows the impact of papers produced by Etsuo 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 Etsuo Nakamura. The network helps show where Etsuo Nakamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Etsuo 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 | 1989 | 92 | |
| 2 | 1989 | 89 | |
| 3 | 1986 | 86 | |
| 4 | 1996 | 41 | |
| 5 | 1988 | 37 | |
| 6 | 1994 | 35 | |
| 7 | 1987 | 34 | |
| 8 | 1993 | 32 | |
| 9 | 1992 | 27 | |
| 10 | 1989 | 21 | |
| 11 | 2014 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 1990 | 8 | |
| 14 | 1992 | 6 | |
| 15 | 1995 | 6 | |
| 16 | 1992 | 5 | |
| 17 | 1995 | 4 | |
| 18 | 1990 | 1 | |
| 19 | 1996 | 0 |
About Etsuo Nakamura
Etsuo Nakamura is a scholar working on Surgery, Molecular Biology, Oncology, Biotechnology and Materials Chemistry, having authored 19 papers that have together received 547 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Peptidase Inhibition and Analysis (6 papers), Enzyme Structure and Function (3 papers), Cellular transport and secretion (2 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Biotechnology (70 citations), Molecular Biology (300 citations), Oncology (96 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Cell Biology (58 citations). Etsuo Nakamura has collaborated with scholars based in Japan and China. Frequent co-authors include Hiroshi Teraoka, Mikio Tamaki, Mitsuhiro Okamoto, Masaru Shin, Yuji Tsuruta, Osamu Ohara, Takashi Ono, Hiromasa Tojo, Tsuneaki Sakata and Nobuo Yoshida. Their work appears in journals such as Biochemical and Biophysical Research Communications, Pancreas, Journal of Leukocyte Biology, Applied Microbiology and Biotechnology and Analytical Biochemistry.
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.