Sayaka Mori
- Co-authors
- Kiwamu OkitaIsao SakaidaShomei RyozawaYasuhiro KuramitsuKazuyuki NakamuraMasaaki OkaKimikazu HamanoMasanori Fujimoto
- Topics
- T-cell and Retrovirus Studies (4 papers)Chronic Myeloid Leukemia Treatments (4 papers)Vector-Borne Animal Diseases (4 papers)
- Cited by
- HepatologyCancer ResearchOncology
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Sayaka Mori
25 papers receiving 340 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 112
- Oncology 89
- Epidemiology 78
- Cancer Research 66
- Immunology 54
Countries citing papers authored by Sayaka Mori
This map shows the geographic impact of Sayaka Mori'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 Sayaka Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Mori more than expected).
Fields of papers citing papers by Sayaka Mori
This network shows the impact of papers produced by Sayaka Mori. 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 Sayaka Mori. The network helps show where Sayaka Mori may publish in the future.
Co-authorship network of co-authors of Sayaka Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Mori. A scholar is included among the top collaborators of Sayaka Mori 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 Sayaka Mori. Sayaka Mori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | An instructive case suggesting warfarin resistance which is independent on the regulation of the CYP2C9 and VKORC1 genotype. | 1 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 122 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 55 | |
| 18 | [A case of AFP producing pancreatic acinar cell carcinoma diagnosed by EUS FNA and treated by intraarterial injection chemotherapy]. | 4 |
| 19 | Chronic myelogenous leukemia (CML) associated with granulocyte colony-stimulating factor (G-CSF)-producing mesothelioma. | 6 |
| 20 | [Clinical evaluation of ErbB-2 protein in tissue extract using an enzyme immuno assay (ErbB-2 EIA "Nichirei")]. | 5 |
About Sayaka Mori
Sayaka Mori is a scholar working on Hematology, Hepatology and Agronomy and Crop Science, having authored 25 papers that have together received 347 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Hepatology (50 citations), Cancer Research (66 citations) and Oncology (89 citations). Sayaka Mori has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kiwamu Okita, Isao Sakaida, Shomei Ryozawa, Yasuhiro Kuramitsu, Kazuyuki Nakamura, Masaaki Oka, Kimikazu Hamano, Masanori Fujimoto, Mase Lee and Ken Kanematsu. Their work appears in journals such as Blood, The Journal of Organic Chemistry and Vaccine.
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.