Michio Ogawa
- Molecular Biology top 10%
- Oncology top 5%
- Surgery top 10%
- Immunology top 10%
- Cancer Research top 5%
- Co-authors
- Yoichi FurukawaMitsuru EmiTakahiro NishideHiroshi EgamiJun‐ichi YamashitaGoro KōsakiKenichi MatsubaraYasuharu Nishimura
- Topics
- Peptidase Inhibition and Analysis (10 papers)Enzyme Production and Characterization (9 papers)Glycosylation and Glycoproteins Research (9 papers)
- Cited by
- BiotechnologyHepatologyOncology
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Michio Ogawa
90 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.3k
- Oncology 610
- Surgery 355
- Immunology 344
- Cancer Research 324
Countries citing papers authored by Michio Ogawa
This map shows the geographic impact of Michio Ogawa'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 Michio Ogawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michio Ogawa more than expected).
Fields of papers citing papers by Michio Ogawa
This network shows the impact of papers produced by Michio Ogawa. 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 Michio Ogawa. The network helps show where Michio Ogawa may publish in the future.
Co-authorship network of co-authors of Michio Ogawa
This figure shows the co-authorship network connecting the top 25 collaborators of Michio Ogawa. A scholar is included among the top collaborators of Michio Ogawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michio Ogawa. Michio Ogawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Correlation of translocation of tight junction protein Zonula occludens-1 and activation of epidermal growth factor receptor in the regulation of invasion of pancreatic cancer cells. | 36 |
| 2 | 8 | |
| 3 | 21 | |
| 4 | 34 | |
| 5 | 56 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 22 | |
| 17 | 12 | |
| 18 | 45 | |
| 19 | 2 | |
| 20 | LETTERS TO THE EDITOR:METABOLIC AND RESPIRATORY CHANGES IN ACUTE CARBON MONOXIDE POISONING TREATED BY HYPERBARIC OXYGENATION | 1 |
About Michio Ogawa
Michio Ogawa is a scholar working on Biotechnology, Oncology and Immunology and Allergy, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (10 papers), Enzyme Production and Characterization (9 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Biotechnology (259 citations), Hepatology (211 citations) and Oncology (610 citations). Michio Ogawa has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yoichi Furukawa, Mitsuru Emi, Takahiro Nishide, Hiroshi Egami, Jun‐ichi Yamashita, Goro Kōsaki, Kenichi Matsubara, Yasuharu Nishimura, Tetsuya Nakatsura and Satoru Senju. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer.
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.