Hiroshi Sugimoto
- Numerical Analysis top 10%
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- Drug Transport and Resistance Mechanisms 4
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- Monoclonal and Polyclonal Antibodies Research 6
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- Biosimilars and Bioanalytical Methods 5
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- Viral Infectious Diseases and Gene Expression in Insects 3
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- Pharmacological Effects and Toxicity Studies 3
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- Amino Acid Enzymes and Metabolism 2
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- Synthesis and biological activity 2
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- Metabolism and Genetic Disorders 2
- Co-authors
- Hideki HirabayashiToshiya MoriwakiNobuyuki AmanoMasakazu MuramatsuMasakazu KojimaHayato WakiSunyoung KimShin-ichi Matsumoto
- Partner nations
- JapanUnited States
In The Last Decade
Hiroshi Sugimoto
24 papers receiving 345 citations
Peers
Comparison fields: 5 of 87
- Numerical Analysis 64
- Computational Theory and Mathematics 69
- Oncology 111
- Computational Mathematics 2
- Pharmacology 26
Countries citing papers authored by Hiroshi Sugimoto
This map shows the geographic impact of Hiroshi Sugimoto'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 Hiroshi Sugimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Sugimoto more than expected).
Fields of papers citing papers by Hiroshi Sugimoto
This network shows the impact of papers produced by Hiroshi Sugimoto. 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 Hiroshi Sugimoto. The network helps show where Hiroshi Sugimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroshi Sugimoto, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 11 | |
| 13 | 2015 | 16 | |
| 14 | 2015 | 11 | |
| 15 | 2013 | 16 | |
| 16 | 2011 | 23 | |
| 17 | 2011 | 35 | |
| 18 | 2010 | 46 | |
| 19 | 2008 | 102 | |
| 20 | Ultrastructural observation of intranuclear inclusion bodies in human myeloma cells. | 1972 | 3 |
About Hiroshi Sugimoto
Hiroshi Sugimoto is a scholar working on Clinical Biochemistry, Toxicology and Biochemistry, having authored 24 papers that have together received 363 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Biosimilars and Bioanalytical Methods (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Synthesis and biological activity (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Numerical Analysis (64 citations), Computational Theory and Mathematics (69 citations) and Oncology (111 citations). Hiroshi Sugimoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideki Hirabayashi, Toshiya Moriwaki, Nobuyuki Amano, Masakazu Muramatsu, Masakazu Kojima, Hayato Waki, Sunyoung Kim, Shin-ichi Matsumoto, Mark G. Qian and Susan Chen. Their work appears in journals such as Analytical Chemistry, Cancer Research 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.