Mie Maruyama
Impact in
- Virology top 10%
- HIV Research and Treatment
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
Papers in
-
- Renal Diseases and Glomerulopathies 2
-
- Systemic Lupus Erythematosus Research 3
- Co-authors
- Hirofumi Makino (5 shared papers)Hitoshi Sugiyama (5 shared papers)Ken‐ei Sada (5 shared papers)Yohei Maeshima (5 shared papers)Toshiki Fukui (3 shared papers)Youichi Abe (2 shared papers)Yasushi Yamasaki (1 shared paper)Masahiro Yamamura (1 shared paper)
- Journals
- Clinical Nephrology (2 papers)The Journal of Rheumatology (1 paper)Clinical Therapeutics (1 paper)Hypertension Research (1 paper)ASAIO Journal (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mie Maruyama
17 papers receiving 418 citations
Peers
Comparison fields: 5 of 49
- Virology 45
- Rheumatology 107
- Nephrology 58
- Biochemistry 30
- Rehabilitation 15
Countries citing papers authored by Mie Maruyama
This map shows the geographic impact of Mie 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 Mie Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mie Maruyama more than expected).
Fields of papers citing papers by Mie Maruyama
This network shows the impact of papers produced by Mie 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 Mie Maruyama. The network helps show where Mie Maruyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Mie 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
| # | Work | ||
|---|---|---|---|
| 1 | Altered levels of adipocytokines in association with insulin resistance in patients with systemic lupus erythematosus. | 2006 | 122 |
| 2 | 2011 | 96 | |
| 3 | 1995 | 88 | |
| 4 | 2009 | 30 | |
| 5 | 2015 | 26 | |
| 6 | 2006 | 15 | |
| 7 | 2007 | 12 | |
| 8 | 2008 | 11 | |
| 9 | 2003 | 9 | |
| 10 | Usefulness of Measurement of Visceral Fat Area by Dual Impedance Method and Points for Attention in Interpretation of Results - From Viewpoint of Diagnosis of Metabolic Syndrome and Early-stage Atherosclerosis- | 2012 | 6 |
| 11 | 2003 | 5 | |
| 12 | 2003 | 4 | |
| 13 | 2003 | 4 | |
| 14 | 2003 | 4 | |
| 15 | 2003 | 2 | |
| 16 | 2003 | 1 | |
| 17 | 2003 | 1 |
About Mie Maruyama
Mie Maruyama is a scholar working on Nephrology, Rheumatology, Surgery, Genetics and Biochemistry, having authored 17 papers that have together received 436 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (3 papers), Virus-based gene therapy research (3 papers), Pancreatic function and diabetes (2 papers), Renal Diseases and Glomerulopathies (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Body Composition Measurement Techniques (1 paper), Xenotransplantation and immune response (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Virology (45 citations), Rheumatology (107 citations), Nephrology (58 citations), Biochemistry (30 citations) and Rehabilitation (15 citations). Mie Maruyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Hirofumi Makino, Hitoshi Sugiyama, Ken‐ei Sada, Yohei Maeshima, Toshiki Fukui, Youichi Abe, Yasushi Yamasaki, Masahiro Yamamura, Masakazu Kohno and Mark C. Leavitt. Their work appears in journals such as Clinical Nephrology, The Journal of Rheumatology, Clinical Therapeutics, Hypertension Research and ASAIO Journal.
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.