Mariko Hatakeyama
- Molecular Biology top 10%
- Oncology
- Genetics
- Radiology, Nuclear Medicine and Imaging top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Shuhei KimuraNoriko YumotoAkihiko KonagayaShigeyuki YokoyamaKaori IdeBoris Ν. KholodenkoJan B. HoekMarc R. Birtwistle
- Topics
- Gene Regulatory Network Analysis (13 papers)HER2/EGFR in Cancer Research (12 papers)Bioinformatics and Genomic Networks (9 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Mariko Hatakeyama
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.0k
- Oncology 232
- Genetics 139
- Radiology, Nuclear Medicine and Imaging 136
- Computational Theory and Mathematics 121
Countries citing papers authored by Mariko Hatakeyama
This map shows the geographic impact of Mariko Hatakeyama'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 Mariko Hatakeyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Hatakeyama more than expected).
Fields of papers citing papers by Mariko Hatakeyama
This network shows the impact of papers produced by Mariko Hatakeyama. 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 Mariko Hatakeyama. The network helps show where Mariko Hatakeyama may publish in the future.
Co-authorship network of co-authors of Mariko Hatakeyama
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Hatakeyama. A scholar is included among the top collaborators of Mariko Hatakeyama 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 Mariko Hatakeyama. Mariko Hatakeyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 38 | |
| 4 | 32 | |
| 5 | Phosphoproteome and transcriptome analyses of ErbB ligand-stimulated MCF-7 cells. | 11 |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 204 | |
| 11 | 7 | |
| 12 | 43 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 179 | |
| 16 | 12 | |
| 17 | 12 | |
| 18 | Coronary artery bypass surgery in patients with abdominal aortic aneurysm: detection and treatment of concomitant coronary artery disease. | 18 |
| 19 | 21 | |
| 20 | 3 |
About Mariko Hatakeyama
Mariko Hatakeyama is a scholar working on Toxicology, Oncology and Molecular Biology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), HER2/EGFR in Cancer Research (12 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Modeling and Simulation (45 citations) and Oncology (232 citations). Mariko Hatakeyama has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Shuhei Kimura, Noriko Yumoto, Akihiko Konagaya, Shigeyuki Yokoyama, Kaori Ide, Boris Ν. Kholodenko, Jan B. Hoek, Marc R. Birtwistle, Babatunde A. Ogunnaike and Mikako Shirouzu. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.
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.