Ken-Ichi Oinuma
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 16
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 3
- Endocrinology top 10%
- Enterobacteriaceae and Cronobacter Research 3
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- Porphyrin Metabolism and Disorders 6
- Bacterial biofilms and quorum sensing 6
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- Bacterial Identification and Susceptibility Testing 7
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- Hemoglobin structure and function 5
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- Mycobacterium research and diagnosis 4
- Co-authors
- Yoshiteru HashimotoMichihiko KobayashiNaoki TakayaHiroki HigashibataTakehiro OhtaHiroshi KakeyaYukihiro KanekoMasahiko Goda
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (1 paper)
- Partner nations
- JapanVenezuelaUnited States
In The Last Decade
Ken-Ichi Oinuma
46 papers receiving 767 citations
Peers
Comparison fields: 5 of 78
- Molecular Medicine 146
- Biochemistry 91
- Applied Microbiology and Biotechnology 23
- Endocrinology 54
- Molecular Biology 494
Countries citing papers authored by Ken-Ichi Oinuma
This map shows the geographic impact of Ken-Ichi Oinuma'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 Ken-Ichi Oinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken-Ichi Oinuma more than expected).
Fields of papers citing papers by Ken-Ichi Oinuma
This network shows the impact of papers produced by Ken-Ichi Oinuma. 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 Ken-Ichi Oinuma. The network helps show where Ken-Ichi Oinuma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken-Ichi Oinuma, 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 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 19 | |
| 16 | 2016 | 6 | |
| 17 | 2012 | 20 | |
| 18 | 2005 | 34 | |
| 19 | 2004 | 18 | |
| 20 | 2002 | 19 |
About Ken-Ichi Oinuma
Ken-Ichi Oinuma is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 47 papers that have together received 778 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Bacterial Identification and Susceptibility Testing (7 papers), Porphyrin Metabolism and Disorders (6 papers), Bacterial biofilms and quorum sensing (6 papers), Hemoglobin structure and function (5 papers), Mycobacterium research and diagnosis (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). The work is most often cited by research in Molecular Medicine (146 citations), Biochemistry (91 citations) and Applied Microbiology and Biotechnology (23 citations). Ken-Ichi Oinuma has collaborated with scholars based in Japan, Venezuela and United States. Frequent co-authors include Yoshiteru Hashimoto, Michihiko Kobayashi, Naoki Takaya, Hiroki Higashibata, Takehiro Ohta, Hiroshi Kakeya, Yukihiro Kaneko, Masahiko Goda, Shunsuke Masuo and Koichi Yamada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.