Mitsuru Uchiyama
- Applied Mathematics top 2%
- Mathematical Inequalities and Applications 24
- Holomorphic and Operator Theory 16
- Mathematical functions and polynomials 10
- Functional Equations Stability Results 5
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- Matrix Theory and Algorithms 17
- Geometry and Topology top 5%
- Analytic and geometric function theory 7
- Biochemistry top 10%
- Pharmaceutical Science top 10%
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- Spectral Theory in Mathematical Physics 8
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- Neurobiology and Insect Physiology Research 4
- Co-authors
- Sin‐Ei TakahasiJean-Christophe BourinYasuo SuzukiYukio AsoKenji FukuzawaTadahiko OtakaA. KerkenaarSumie Yoshioka
- Journals
- Journal of Agricultural and Food Chemistry (2 papers)Biochemical Pharmacology (1 paper)Journal of Pharmaceutical Sciences (3 papers)
- Partner nations
- JapanIndiaNetherlands
In The Last Decade
Mitsuru Uchiyama
92 papers receiving 789 citations
Peers
Comparison fields: 5 of 138
- Applied Mathematics 282
- Computational Theory and Mathematics 173
- Geometry and Topology 91
- Biochemistry 49
- Pharmaceutical Science 47
Countries citing papers authored by Mitsuru Uchiyama
This map shows the geographic impact of Mitsuru Uchiyama'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 Mitsuru Uchiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuru Uchiyama more than expected).
Fields of papers citing papers by Mitsuru Uchiyama
This network shows the impact of papers produced by Mitsuru Uchiyama. 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 Mitsuru Uchiyama. The network helps show where Mitsuru Uchiyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitsuru Uchiyama, 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 | 2019 | 6 | |
| 2 | 2014 | 1 | |
| 3 | 2013 | 2 | |
| 4 | 2012 | 1 | |
| 5 | 2008 | 4 | |
| 6 | 2007 | 56 | |
| 7 | 2005 | 24 | |
| 8 | 2003 | 7 | |
| 9 | 2002 | 2 | |
| 10 | 2002 | 2 | |
| 11 | 2002 | 3 | |
| 12 | 2001 | 3 | |
| 13 | 1994 | 3 | |
| 14 | 1992 | 53 | |
| 15 | 1989 | 10 | |
| 16 | 1988 | 1 | |
| 17 | 1988 | 1 | |
| 18 | 1985 | 3 | |
| 19 | QUANTIFIABLE MORPHOLOGIC EVALUATION OF PARAQUAT PULMONARY TOXICITY IN RATS | 1984 | 2 |
| 20 | 1977 | 3 |
About Mitsuru Uchiyama
Mitsuru Uchiyama is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 100 papers that have together received 918 indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (24 papers), Matrix Theory and Algorithms (17 papers), Holomorphic and Operator Theory (16 papers), Mathematical functions and polynomials (10 papers), Spectral Theory in Mathematical Physics (8 papers), Analytic and geometric function theory (7 papers), Functional Equations Stability Results (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Applied Mathematics (282 citations), Computational Theory and Mathematics (173 citations) and Geometry and Topology (91 citations). Mitsuru Uchiyama has collaborated with scholars based in Japan, India and Netherlands. Frequent co-authors include Sin‐Ei Takahasi, Jean-Christophe Bourin, Yasuo Suzuki, Yukio Aso, Kenji Fukuzawa, Tadahiko Otaka, A. Kerkenaar, Sumie Yoshioka, Susumu Ogawa and Takeshi Yoshida. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical Pharmacology and Journal of Pharmaceutical Sciences.
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.