Jiro Arima
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Enzyme Production and Characterization 9
- Oncology 26
- Peptidase Inhibition and Analysis 26
- Co-authors
- Tadashi Hatanaka (33 shared papers)Masaki Iwabuchi (18 shared papers)Yoshiko Uesugi (18 shared papers)Hirokazu Usuki (13 shared papers)Yuya Kumagai (4 shared papers)Takafumi Mukaihara (3 shared papers)Misugi Uraji (10 shared papers)Nobuhiro Mori (19 shared papers)
In The Last Decade
Jiro Arima
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Biotechnology 226
- Biochemistry 107
- Oncology 289
- Molecular Biology 699
- Cellular and Molecular Neuroscience 134
Countries citing papers authored by Jiro Arima
This map shows the geographic impact of Jiro Arima'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 Jiro Arima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiro Arima more than expected).
Fields of papers citing papers by Jiro Arima
This network shows the impact of papers produced by Jiro Arima. 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 Jiro Arima. The network helps show where Jiro Arima may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiro Arima, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 231 | |
| 2 | 2015 | 64 | |
| 3 | 2009 | 60 | |
| 4 | 2011 | 39 | |
| 5 | 2003 | 39 | |
| 6 | 2008 | 38 | |
| 7 | 2005 | 37 | |
| 8 | 2004 | 32 | |
| 9 | 2014 | 31 | |
| 10 | 2010 | 31 | |
| 11 | 2006 | 29 | |
| 12 | 2005 | 25 | |
| 13 | 2007 | 24 | |
| 14 | 2006 | 21 | |
| 15 | 2005 | 21 | |
| 16 | 2024 | 21 | |
| 17 | 2017 | 20 | |
| 18 | 2008 | 19 | |
| 19 | 2006 | 17 | |
| 20 | 2005 | 17 |
About Jiro Arima
Jiro Arima is a scholar working on Biotechnology, Oncology, Biochemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (26 papers), Amino Acid Enzymes and Metabolism (13 papers), Chemical Synthesis and Analysis (12 papers), Enzyme Production and Characterization (9 papers), Neuropeptides and Animal Physiology (8 papers), Biofuel production and bioconversion (7 papers), Studies on Chitinases and Chitosanases (6 papers) and Polyamine Metabolism and Applications (6 papers). The work is most often cited by research in Biotechnology (226 citations), Biochemistry (107 citations), Oncology (289 citations), Molecular Biology (699 citations) and Cellular and Molecular Neuroscience (134 citations). Jiro Arima has collaborated with scholars based in Japan, Canada and Sudan. Frequent co-authors include Tadashi Hatanaka, Masaki Iwabuchi, Yoshiko Uesugi, Hirokazu Usuki, Yuya Kumagai, Takafumi Mukaihara, Misugi Uraji, Nobuhiro Mori, Kayoko Kawakami and Katsuhiko Shimizu. Their work appears in journals such as Applied and Environmental Microbiology, Bioscience Biotechnology and Biochemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, World Journal of Microbiology and Biotechnology and Applied Microbiology and Biotechnology.
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.