Mikiko Ohno
Impact in
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- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
Papers in
- Oncology 8
- Peptidase Inhibition and Analysis 5
- HER2/EGFR in Cancer Research 2
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- Signaling Pathways in Disease 2
- Receptor Mechanisms and Signaling 2
- Co-authors
- Eiichiro Nishi (18 shared papers)Yoshinori Hiraoka (10 shared papers)Toru Kita (7 shared papers)Hidekazu Tomimoto (3 shared papers)Kazuhiro Yoshida (2 shared papers)Kiyoto Nishi (11 shared papers)Takeshi Kimura (8 shared papers)Katsuya Okawa (1 shared paper)
- Journals
- Scientific Reports (3 papers)Biochemical and Biophysical Research Communications (3 papers)Alzheimer s & Dementia (1 paper)Clinical Cancer Research (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Mikiko Ohno
20 papers receiving 266 citations
Peers
Comparison fields: 5 of 63
- Oncology 79
- Neurology 22
- Physiology 64
- Rehabilitation 15
- Developmental Neuroscience 9
Countries citing papers authored by Mikiko Ohno
This map shows the geographic impact of Mikiko Ohno'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 Mikiko Ohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikiko Ohno more than expected).
Fields of papers citing papers by Mikiko Ohno
This network shows the impact of papers produced by Mikiko Ohno. 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 Mikiko Ohno. The network helps show where Mikiko Ohno may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikiko Ohno, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 60 | |
| 2 | 2007 | 39 | |
| 3 | 2008 | 34 | |
| 4 | 2012 | 33 | |
| 5 | 2014 | 30 | |
| 6 | 2013 | 22 | |
| 7 | 2018 | 10 | |
| 8 | 2017 | 8 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2020 | 3 | |
| 13 | 2022 | 2 | |
| 14 | [Periventricular leukomalacia]. | 1993 | 2 |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 1999 | 1 | |
| 20 | 2011 | 1 |
About Mikiko Ohno
Mikiko Ohno is a scholar working on Oncology, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 22 papers that have together received 266 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Adipose Tissue and Metabolism (3 papers), Signaling Pathways in Disease (2 papers), Alzheimer's disease research and treatments (2 papers), HER2/EGFR in Cancer Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Exercise and Physiological Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (79 citations), Neurology (22 citations), Physiology (64 citations), Rehabilitation (15 citations) and Developmental Neuroscience (9 citations). Mikiko Ohno has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Eiichiro Nishi, Yoshinori Hiraoka, Toru Kita, Hidekazu Tomimoto, Kazuhiro Yoshida, Kiyoto Nishi, Takeshi Kimura, Katsuya Okawa, Takeshi Kimura and Keizo Takao. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, Alzheimer s & Dementia, Clinical Cancer Research and International Journal of Cardiology.
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.