Mako Yasuda
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- Autophagy in Disease and Therapy 4
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- Chronic Kidney Disease and Diabetes 2
- Renal Diseases and Glomerulopathies 2
- Parathyroid Disorders and Treatments 1
- Co-authors
- Shinji Kume (6 shared papers)Hiroshi Maegawa (5 shared papers)Daisuke Koya (4 shared papers)Takashi Uzu (8 shared papers)Kosuke Yamahara (3 shared papers)Hisazumi Araki (4 shared papers)Masami Chin‒Kanasaki (3 shared papers)Shin‐ichi Araki (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Seminars in Nephrology (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Diabetes (1 paper)Rheumatology International (1 paper)
- Partner nations
- JapanSouth Korea
In The Last Decade
Mako Yasuda
10 papers receiving 624 citations
Peers
Comparison fields: 5 of 62
- Nephrology 184
- Clinical Biochemistry 60
- Epidemiology 278
- Geriatrics and Gerontology 23
- Physiology 27
Countries citing papers authored by Mako Yasuda
This map shows the geographic impact of Mako Yasuda'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 Mako Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mako Yasuda more than expected).
Fields of papers citing papers by Mako Yasuda
This network shows the impact of papers produced by Mako Yasuda. 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 Mako Yasuda. The network helps show where Mako Yasuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Mako Yasuda, 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 | 2015 | 275 | |
| 2 | 2014 | 110 | |
| 3 | 2011 | 94 | |
| 4 | 2013 | 74 | |
| 5 | 2013 | 55 | |
| 6 | 2011 | 8 | |
| 7 | 2011 | 8 | |
| 8 | 2008 | 7 | |
| 9 | 2010 | 3 | |
| 10 | [Case of MPO-ANCA-positive Wegener's granulomatosis with hepatitis C virus infection]. | 2011 | 2 |
| 11 | 2008 | 0 |
About Mako Yasuda
Mako Yasuda is a scholar working on Epidemiology, Nephrology, Pulmonary and Respiratory Medicine, Pharmacology and Pathology and Forensic Medicine, having authored 11 papers that have together received 636 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Vasculitis and related conditions (2 papers), Renal Diseases and Glomerulopathies (2 papers), Advanced Glycation End Products research (2 papers), Parathyroid Disorders and Treatments (1 paper), Medical Imaging and Pathology Studies (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Nephrology (184 citations), Clinical Biochemistry (60 citations), Epidemiology (278 citations), Geriatrics and Gerontology (23 citations) and Physiology (27 citations). Mako Yasuda has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Shinji Kume, Hiroshi Maegawa, Daisuke Koya, Takashi Uzu, Kosuke Yamahara, Hisazumi Araki, Masami Chin‒Kanasaki, Shin‐ichi Araki, Masakazu Haneda and Satoshi Ugi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Seminars in Nephrology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Diabetes and Rheumatology International.
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.