Rumi Maruyama
Impact in
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- Cardiac Fibrosis and Remodeling
- Chemotherapy-induced cardiotoxicity and mitigation
- Physiology top 2%
Papers in
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- Cardiac Fibrosis and Remodeling 15
- Chemotherapy-induced cardiotoxicity and mitigation 5
- Cardiac electrophysiology and arrhythmias 4
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- Cell death mechanisms and regulation 10
- Signaling Pathways in Disease 7
- RNA Interference and Gene Delivery 7
- Co-authors
- Hisayoshi Fujiwara (56 shared papers)Genzou Takemura (54 shared papers)Shinya Minatoguchi (53 shared papers)Takako Fujiwara (46 shared papers)Hideshi Okada (23 shared papers)Hiromitsu Kanamori (29 shared papers)Kazuko Goto (21 shared papers)Shusaku Miyata (19 shared papers)
In The Last Decade
Rumi Maruyama
58 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Cardiology and Cardiovascular Medicine 925
- Physiology 158
- Applied Microbiology and Biotechnology 44
- Geriatrics and Gerontology 67
- Epidemiology 601
Countries citing papers authored by Rumi Maruyama
This map shows the geographic impact of Rumi 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 Rumi Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rumi Maruyama more than expected).
Fields of papers citing papers by Rumi Maruyama
This network shows the impact of papers produced by Rumi 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 Rumi Maruyama. The network helps show where Rumi Maruyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Rumi Maruyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 180 | |
| 2 | 2006 | 179 | |
| 3 | 2011 | 178 | |
| 4 | 2005 | 160 | |
| 5 | 2012 | 151 | |
| 6 | 2006 | 124 | |
| 7 | 2009 | 103 | |
| 8 | 2003 | 102 | |
| 9 | 2006 | 101 | |
| 10 | 1999 | 99 | |
| 11 | 2003 | 97 | |
| 12 | 2006 | 94 | |
| 13 | 2004 | 91 | |
| 14 | 2018 | 57 | |
| 15 | 2008 | 55 | |
| 16 | 2005 | 50 | |
| 17 | 2002 | 50 | |
| 18 | 2001 | 49 | |
| 19 | 2009 | 44 | |
| 20 | 2005 | 44 |
About Rumi Maruyama
Rumi Maruyama is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Hematology, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (15 papers), Cell death mechanisms and regulation (10 papers), Autophagy in Disease and Therapy (10 papers), Signaling Pathways in Disease (7 papers), Cardiac Ischemia and Reperfusion (7 papers), RNA Interference and Gene Delivery (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (925 citations), Physiology (158 citations), Applied Microbiology and Biotechnology (44 citations), Geriatrics and Gerontology (67 citations) and Epidemiology (601 citations). Rumi Maruyama has collaborated with scholars based in Japan, China and Armenia. Frequent co-authors include Hisayoshi Fujiwara, Genzou Takemura, Shinya Minatoguchi, Takako Fujiwara, Hideshi Okada, Hiromitsu Kanamori, Kazuko Goto, Shusaku Miyata, Atsushi Ogino and Masayasu Esaki. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Circulation, American Journal Of Pathology, Laboratory Investigation and Autophagy.
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.