Mitsuhiro Yoneda
- Co-authors
- Judith A. WelshAaron J. SchetterCurtis C. HarrisNiels H. H. HeegaardElise D. BowmanShioko KimuraTakeya NakagawaTakashi Ito
- Topics
- Genomics and Chromatin Dynamics (9 papers)Epigenetics and DNA Methylation (7 papers)Cancer-related gene regulation (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular Cell
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Mitsuhiro Yoneda
40 papers receiving 767 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 562
- Cancer Research 263
- Pulmonary and Respiratory Medicine 158
- Surgery 95
- Oncology 64
Countries citing papers authored by Mitsuhiro Yoneda
This map shows the geographic impact of Mitsuhiro Yoneda'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 Mitsuhiro Yoneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Yoneda more than expected).
Fields of papers citing papers by Mitsuhiro Yoneda
This network shows the impact of papers produced by Mitsuhiro Yoneda. 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 Mitsuhiro Yoneda. The network helps show where Mitsuhiro Yoneda may publish in the future.
Co-authorship network of co-authors of Mitsuhiro Yoneda
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Yoneda. A scholar is included among the top collaborators of Mitsuhiro Yoneda 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 Mitsuhiro Yoneda. Mitsuhiro Yoneda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 16 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | Actualization of Causality-Based Transparency and Accuracy in System Modeling with Human-Machine Collaboration | 0 |
| 12 | 2 | |
| 13 | 247 | |
| 14 | 9 | |
| 15 | Causality-based transparency and accuracy in system modeling with human-machine collaboration | 2 |
| 16 | 42 | |
| 17 | 28 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | Multimode Oscillations in Two Coupled van der Pol Oscillators with Ninth-Power Nonlinear Characteristics | 4 |
About Mitsuhiro Yoneda
Mitsuhiro Yoneda is a scholar working on Molecular Biology, Software and Cancer Research, having authored 41 papers that have together received 779 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (562 citations) and Pulmonary and Respiratory Medicine (158 citations). Mitsuhiro Yoneda has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Judith A. Welsh, Aaron J. Schetter, Curtis C. Harris, Niels H. H. Heegaard, Elise D. Bowman, Shioko Kimura, Takeya Nakagawa, Takashi Ito, Yan Cai and Tadashi Yamamoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.
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.