Keiko Maruyama
- Molecular Biology
- Physiology top 10%
- Neurology top 10%
- Pathology and Forensic Medicine top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Kazutoshi NakamuraShu‐ichi IkedaTokuhiro IshiharaTakafumi NagatomoN YanagisawaDavid AllsopHiroshi TsuchihashiNobuo Yanagisawa
- Topics
- Receptor Mechanisms and Signaling (15 papers)Blood Coagulation and Thrombosis Mechanisms (12 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Keiko Maruyama
71 papers receiving 856 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 262
- Physiology 226
- Neurology 133
- Pathology and Forensic Medicine 116
- Public Health, Environmental and Occupational Health 91
Countries citing papers authored by Keiko Maruyama
This map shows the geographic impact of Keiko Maruyama'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 Keiko Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Maruyama more than expected).
Fields of papers citing papers by Keiko Maruyama
This network shows the impact of papers produced by Keiko Maruyama. 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 Keiko Maruyama. The network helps show where Keiko Maruyama may publish in the future.
Co-authorship network of co-authors of Keiko Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Maruyama. A scholar is included among the top collaborators of Keiko Maruyama 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 Keiko Maruyama. Keiko Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | An approach to introducing music therapy to the elderly with dementia in small-scale, multi-functional facilities : Aiming to practice empowerment | 1 |
| 9 | 88 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | [An Alzheimer's disease case showing recurrent subcortical hemorrhage: an autopsy findings with immunohistochemical studies of cerebral amyloid deposits]. | 1 |
| 20 | 25 |
About Keiko Maruyama
Keiko Maruyama is a scholar working on Hematology, Genetics and Internal Medicine, having authored 74 papers that have together received 888 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Blood Coagulation and Thrombosis Mechanisms (12 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (77 citations), Neurology (133 citations) and Physiology (226 citations). Keiko Maruyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazutoshi Nakamura, Shu‐ichi Ikeda, Tokuhiro Ishihara, Takafumi Nagatomo, N Yanagisawa, David Allsop, Hiroshi Tsuchihashi, Nobuo Yanagisawa, Eriko Morishita and Hidesaku Asakura. Their work appears in journals such as Blood, PLoS ONE and Neurology.
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.