Junya Mitoma
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 8
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 9
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 6
- Developmental Neuroscience top 5%
- Immunology top 5%
- Galectins and Cancer Biology 5
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- Glycosylation and Glycoproteins Research 15
- Epigenetics and DNA Methylation 6
- Lipid Membrane Structure and Behavior 6
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Yoshio HirabayashiShigeki FuruyaMinoru FukudaMiwako YamasakiMasahiko WatanabeKeiko YamadaJohn B. LoweAsami Makino
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Histochemistry & Cytochemistry (3 papers)Methods in enzymology on CD-ROM/Methods in enzymology (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Junya Mitoma
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 85
- Biochemistry 415
- Immunology and Allergy 227
- Clinical Biochemistry 210
- Developmental Neuroscience 107
- Immunology 434
Countries citing papers authored by Junya Mitoma
This map shows the geographic impact of Junya Mitoma'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 Junya Mitoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Mitoma more than expected).
Fields of papers citing papers by Junya Mitoma
This network shows the impact of papers produced by Junya Mitoma. 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 Junya Mitoma. The network helps show where Junya Mitoma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junya Mitoma, 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 | 2015 | 40 | |
| 2 | 2015 | 7 | |
| 3 | 2012 | 8 | |
| 4 | 2012 | 8 | |
| 5 | 2011 | 34 | |
| 6 | 2010 | 4 | |
| 7 | 2008 | 28 | |
| 8 | 2007 | 1 | |
| 9 | 2007 | 138 | |
| 10 | 2006 | 14 | |
| 11 | 2006 | 5 | |
| 12 | 2005 | 144 | |
| 13 | 2004 | 15 | |
| 14 | 2004 | 56 | |
| 15 | 2004 | 121 | |
| 16 | 2004 | 13 | |
| 17 | 2003 | 73 | |
| 18 | 1998 | 83 | |
| 19 | 1998 | 70 | |
| 20 | 1998 | 108 |
About Junya Mitoma
Junya Mitoma is a scholar working on Immunology and Allergy, Biochemistry, Clinical Biochemistry, Developmental Neuroscience and Immunology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Cell Adhesion Molecules Research (9 papers), Amino Acid Enzymes and Metabolism (8 papers), Epigenetics and DNA Methylation (6 papers), Metabolism and Genetic Disorders (6 papers), Lipid Membrane Structure and Behavior (6 papers), Galectins and Cancer Biology (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biochemistry (415 citations), Immunology and Allergy (227 citations), Clinical Biochemistry (210 citations), Developmental Neuroscience (107 citations) and Immunology (434 citations). Junya Mitoma has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshio Hirabayashi, Shigeki Furuya, Minoru Fukuda, Miwako Yamasaki, Masahiko Watanabe, Keiko Yamada, John B. Lowe, Asami Makino, Jun Nakayama and Nobuyoshi Hiraoka. Their work appears in journals such as Journal of Biological Chemistry, Journal of Histochemistry & Cytochemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Proceedings of the National Academy of Sciences and Nature Immunology.
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.